Total 40 Others job vacancies

Our Quantitative Researchers apply tools from a variety of disciplines including statistics, control theory, machine learning, optimization, and signal processing to develop algorithmic trading strategies.  Our research team collaborates on idea generation and strategy development, while encouraging independent exploration and original approaches.  Researchers have access to clean data integrated with a high performance-computing grid and the support of dedicated software developers. 

What you’ll do in this role

• Create and refine high-quality predictive signals using statistics, machine learning, and signal processing techniques.
• Identify and mathematically characterize inefficiencies in financial markets.
• Apply NLP and other cutting-edge methods to uncover alpha in non-traditional datasets.
• Utilize advanced optimization techniques to design and construct optimal portfolios.
• Design and implement automated trading agents to achieve superior execution performance.
• Formulate research problems, conduct rigorous analysis, and transition ideas into fully functional trading systems.

Requirements

• 2+ years of professional experience in equity/futures statistical arbitrage or systematic trading research.
• Advanced degree in a quantitative field with a focus on statistics, mathematics, machine learning, signal processing or optimizations
• Experience in handling large datasets using languages such as Python or C++
• Significant hands-on experience with formulating a research problem, conducting the research and developing a working system
• Proven track record in delivering successful systematic strategies is plus
• Self-starter with strong proactivity, sets ambitious goals, willingness to drive and own projects, and proactively identifies opportunities for impact
• Excellent verbal and written communication skills
• Meticulous attention to details and accuracy in work

Job Description:

• Conduct cutting-edge research in the field of recommendation & search, natural language processing and deep learning &LLM.
• Develop AI-enabled products and services with other groups in the company
• Collaborate with world-class organizations in academia projects

Skills / Qualifications:

• Possess a PhD degree in computer science, statistics, applied mathematics, or have equivalent research experiences
• Demonstrate the ability to generate new ideas.
• Have 3 years of academic or industrial working experiences in recommendation & search, natural language processing, deep learning, machine learning, or related fields
• Have strong programming skills, experienced in one or more programming languages including but not limited to: C/C++, Java, Python.

Interested candidate please click "APPLY" to begin your job search journey.

We regret to inform that only shortlisted candidates will be notified.

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PERSOL Singapore Pte Ltd

• RCB No. 200007268E • EA License No. 01C4394

• Registration ID: Heah Sian Wei R23117518

Bright Point Capital Pte Ltd is a registered fund management company in Singapore regulated by the Monetary Authority of Singapore (MAS). We are currently looking to expand our research and investment capabilities for one of our funds.

Responsibilities

• Conduct research and statistical analysis of trade data
• Assist in managing database
• Assist in monitoring and running existing algorithms to trade across multiple asset classes
• Review and improve on existing trading models

Requirements

• PhD preferred, or exceptional MSc/BSc, in mathematics, statistics, physics, computer science, electrical engineering, operations research, machine learning, or a related quantitative discipline.
• Strong foundation in probability, statistics, optimization, linear algebra, machine learning, and time-series or stochastic modelling.
• Strong programming ability

About Us

Bright Point Capital Pte Ltd is a registered fund management company in Singapore regulated by the Monetary Authority of Singapore (MAS). We are currently looking to expand our research and investment capabilities for one of our funds.

The investment mandate focuses on trading financial instruments across different asset classes and global exchanges. We are looking for a strong quantitative researcher to support systematic strategy research, model validation, and data-driven decision making.

ROLE DESCRIPTION

• Work closely with experienced traders and developers to research, test, and validate systematic trading models
• Apply mathematics, statistics, machine learning, and scientific research methods to large-scale financial market data
• Support the trading team with rigorous research evidence; trading direction, strategy prioritization, and live deployment decisions will remain led by the trading team
• Prior finance or trading experience is not required

RESPONSIBILITIES

• Translate market observations and trading ideas into testable research hypotheses.
• Research statistical and machine learning methods for forecasting, classification, signal generation, and pattern detection in noisy sequential data.
• Evaluate modern ML approaches, including deep learning, sequence models, and attention-based models, while benchmarking against simpler statistical baselines.
• Build reusable research tools for data cleaning, feature generation, model comparison, experiment tracking, and result analysis.
• Communicate research results clearly, including assumptions, limitations, risks, negative findings, and reasons a model may fail in live use.

REQUIREMENTS

• PhD preferred, or exceptional MSc/BSc, in mathematics, statistics, physics, computer science, electrical engineering, operations research, machine learning, or a related quantitative discipline.
• Strong foundation in probability, statistics, optimization, linear algebra, machine learning, and time-series or stochastic modelling.
• Strong programming ability in Python and experience with scientific computing or machine learning libraries such as NumPy, pandas, scikit-learn, PyTorch, JAX, TensorFlow, or similar tools.
• Experience working with noisy real-world data, large datasets, simulations, or empirical research problems.
• Strong problem-solving ability, intellectual honesty, attention to detail, and willingness to challenge model results rather than accept them at face value.

WHAT TO EXPECT

• You will learn the financial market context from experienced traders while contributing your scientific and technical expertise.
• We encourage rigorous thinking, reproducible research, and honest communication of both positive and negative results.
• The work involves open-ended research problems where clear thinking, persistence, and careful validation matter more than using complex models for their own sake.

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.

Tower Research Capital seeks a Quantitative Researcher to join one of our trading teams in Singapore. As a Quantitative Researcher, you will be using in-house trading system—one of the fastest and most comprehensive in the world—to develop and deploy algorithmic trading strategies based on patterns in market behavior.

Responsibilities

• Designing, implementing, and deploying high-frequency trading algorithms
• Exploring trading ideas by analyzing market data and market micro-structure for patterns
• Creating tools to analyze data for patterns
• Contributing to libraries of analytical computations to support market data analysis and trading
• Developing, augmenting, and calibrating exchange simulators

Qualifications

• At least a Bachelors Degree in computing, statistics, mathematics or a related field from a top-tier university
• Prior internship experience in financial trading would be advantageous
• Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis)
• Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
• Good experience with signal generation and statistical models
• Strong programming skills in C++ and Python

• 6-month contract
• Government project
• Hybrid work arrangement

Role Overview

We are looking for an experienced UX Researcher to execute evaluative research across a portfolio of government digital services. The role focuses on assessing the usability, usefulness, accessibility, and overall user experience of existing products through structured research studies, usability testing, and mystery shopper evaluations.

The researcher will plan and conduct studies in both laboratory and field settings, recruit representative participants, design research protocols, analyse quantitative and qualitative data, and generate evidence-based recommendations to improve public digital services. Findings must be objective, statistically sound where appropriate, and clearly communicated to product, design, engineering, and policy stakeholders.

Key Responsibilities

• Design and conduct usability evaluations, mystery shopper studies, benchmarking exercises, and service assessments across government digital products.
• Select and apply appropriate research methodologies, including moderated and unmoderated usability testing, surveys, interviews, contextual inquiry, diary studies, and observational research.
• Apply validated measurement frameworks and instruments such as SUS, UEQ, SEQ, CSAT, NPS, accessibility assessments, and task success metrics.
• Analyse quantitative and qualitative data, triangulate findings across multiple sources, and identify meaningful patterns without introducing researcher bias.
• Produce actionable reports, highlight evidence-based recommendations, and communicate findings to senior stakeholders.
• Establish repeatable evaluation frameworks and benchmarks to track service quality over time.
• Collaborate closely with designers, product managers, engineers, accessibility specialists, and service owners.

Preferred Qualifications

• Degree or postgraduate qualification in Human-Computer Interaction (HCI), Human Factors, Cognitive Psychology, Experimental Psychology, Behavioural Science, Ergonomics, Information Science, Sociology, Anthropology, or a related field.
• Formal training in research design, statistics, survey methodology, experimental methods, or behavioural research.
• Experience applying both qualitative and quantitative research methods in professional settings.
• Strong understanding of validity, reliability, sampling approaches, bias mitigation, and evidence-based evaluation.

Required Experience

• 5+ years of experience conducting UX research, usability evaluations, human factors research, or service evaluations.
• Demonstrated experience planning and facilitating usability testing with diverse participant groups.
• Experience using standard UX metrics and scales, including understanding when and how to apply instruments such as SUS, UEQ, SEQ, CSAT, and task-based performance measures.
• Ability to conduct rigorous qualitative analysis, thematic analysis, coding, and synthesis of research findings.
• Ability to perform quantitative analysis, interpret statistical results, and explain findings clearly to non-research audiences.
• Experience producing objective, defensible findings and recommendations that influence product and service decisions.

Overview

NEU Battery Materials aims to be the largest, cleanest, and most neutral source of recycled lithium globally. The firm developed the world’s first patented electrochemical redox recycling method that only uses electricity and water. This revolutionary approach is paving the way for a more sustainable future in LFP battery recycling. 

This role is about figuring things out. You’ll spend your time understanding the current state of our technology, identifying what we don’t yet know, and using a combination of your technical background and genuine curiosity to come up with ideas worth testing. Then you’ll run those experiments, interpret the results, and work toward solutions that are designed from the start to translate to commercial scale.

The scope spans electrolyzer development, electrode and electrocatalyst work, impurity removal, electrolyte behaviour, mass and water balances, and broader chemical and electrochemical challenges as they arise. Some problems will be clearly defined. Others you’ll need to frame yourself. You’ll work closely with the Engineering Team.

If you enjoy research and the above sounds like you, click "Apply" below or send your resume to careers@neumaterials.com

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What You’ll Work On

• Design and execute experiments to develop and optimise our electrolyzer systems, including electrode fabrication, electrocatalyst development and cell characterisation
• Investigate and resolve process challenges: impurity behaviour, electrolyte stability, mass and water balances across the system
• Set up proof-of-concept (POC) experiments for new process ideas and take promising ones through iterative development cycles toward scale-up
• Perform electrochemical analysis (EIS, voltammetry, Tafel analysis) and wet chemical characterisation; interpret results and draw actionable conclusions
• Support pilot and process engineering work by translating bench findings into parameters that matter at scale
• Contribute to grant proposals, patent filings and internal technical documentation as needed

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Requirements

• PhD or MS/BS with strong hands-on research experience in Electrochemistry, Chemical Engineering, Chemistry, Materials Science or a related field
• 3–5 years of experimental research experience in electrochemistry or closely related systems
• Solid grounding in electrochemical fundamentals: thermodynamics, kinetics, mass transport, electrode processes
• Practical experience with electrochemical characterisation techniques - EIS, cyclic voltammetry, impedance analysis and holistic data interpretation
• Track record of taking experiments from concept through execution and subsequently through conclusions, and owning the outcomes

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Technical advantage

• Experience with alkaline electrolyzer systems or related electrochemical devices (fuel cells and redox flow batteries)
• Familiarity with ion exchange membranes, corrosion-resistant materials, or trace metal separation/purification
• Modelling or simulation experience: COMSOL, DFT, Python/MATLAB for kinetic or process modelling
• Awareness of relevant safety and environmental standards (ISO, lab-scale chemical handling)

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Who We’re Looking For

Beyond the technical requirements, the person who’ll do well here is genuinely curious. Not just about their specific area, but about the broader system and how things connect. You’re self-driven enough to identify what needs investigating without being told, and motivated enough to go deeper when the first answer doesn’t fully hold up.

You are also someone who can wear different hats. That might mean stepping outside your immediate scope to help unblock a problem, communicating your findings clearly to people with different backgrounds, or collaborating with engineers on questions that sit at the boundary of research and scale-up. We’re a lean team where that kind of range matters.

If you’ve spent your career executing well-defined protocols and prefer it that way, this probably isn’t the right fit. If you’ve thrived when given a problem and the freedom to figure out how to approach it, we’d like to hear from you.

Introduction to The Centre for Precision Fermentation and Sustainability:                                                   

The Centre for Precision Fermentation and Sustainability (PreFerS) is a research program hosted by the Illinois Advanced Research Center at Singapore Ltd.(Illinois ARCS). The program aims to develop advanced fundamental sciences and technologies to implement fermentation-based production of foods and food ingredients, and also to enhance food security and sustainability in Singapore, particularly addressing the micronutrient food insecurity through precision fermentation.

Position Overview

We are seeking a highly motivated Postdoctoral Researcher to join our team in advancing protein expression and strain engineering projects using Komagataella phaffii (Pichia pastoris). The successful candidate will play a key role in developing optimized expression systems, engineering strains for enhanced yield, and contributing to downstream applications in biotechnology and food innovation.

Key Responsibilities:

·       Design, construct, and evaluate recombinant K. phaffii strains for high-level protein expression.

·       Perform molecular cloning, promoter screening, and vector optimization for heterologous protein production.

·       Develop high through put screens for evaluation of protein expression.

·       Conduct fermentation experiments in flask and bioreactor formats, optimizing growth conditions and induction strategies.

·       Apply strain engineering approaches (e.g., CRISPR/Cas9, metabolic pathway optimization) to improve protein yield and stability.

·       Collaborate with team members on purification workflows, analytical characterization, and functional assays of expressed proteins.

·       Participate in the development of project strategy.

·       Document experimental results, prepare technical reports, and contribute to publications and grant proposals.

·       Mentor junior researchers and support collaborative projects across the laboratory.

Job Requirements:

·       PhD in Molecular Biology, Biotechnology, Biochemistry, or related field.

·       Strong expertise in yeast genetics and protein expression, particularly with K. phaffii.

·       Hands-on experience with cloning, strain engineering, and fermentation techniques.

·       Familiarity with protein purification methods (e.g., affinity chromatography, FPLC).

·       Demonstrated ability to troubleshoot experimental challenges and design innovative solutions.

·       Strong publication record in relevant fields.

·       Excellent communication and teamwork skills.

Preferred Skills

·       Experience with synthetic biology tools for pathway engineering.

·       Knowledge of bioprocess scale-up and bioreactor operation.

·       Familiarity with omics-based approaches (transcriptomics, proteomics) for strain characterization.

·       Ability to align research outcomes with industrial biotechnology applications.

Opportunities

·       Work in a collaborative, interdisciplinary environment focused on sustainable biotechnology.

·       Contribute to projects with direct relevance to food innovation and precision fermentation.

·       Access to state-of-the-art laboratory facilities and fermentation equipment.

·       Professional development through publications, conferences, and industry collaborations.

Application Process:

*Interested candidates should submit their resume/CV together with a cover letter outlining their qualifications and relevant experience for the position. Please also include the names and contact details of three professional referees.

Applications will be considered until the corresponding position has been filled. Only shortlisted candidates will be notified.

Overview
We are seeking a Cyber Security Researcher to join a team focused on identifying and mitigating software vulnerabilities through advanced security research. This role offers the opportunity to work alongside cyber threat experts in conducting vulnerability research, reverse engineering, fuzzing, and code auditing to strengthen system security against evolving cyber threats.

Responsibilities

• Collaborate with cyber security and threat intelligence experts to identify and mitigate security risks.
• Conduct vulnerability research through fuzzing, reverse engineering, and source code auditing.
• Analyze software and systems to identify security weaknesses and exploit paths.
• Develop proof-of-concept (PoC) exploits to validate identified vulnerabilities.
• Investigate security flaws and recommend remediation strategies.
• Contribute to the development of tools and methodologies for vulnerability discovery and analysis.
• Stay current with emerging cyber threats, attack techniques, and security research trends.

Requirements

• Min 2 years of experience in vulnerability research, reverse engineering, software security, or cyber security research.
• Hands-on experience in native userland and or kernel-space vulnerability research.
• Experience identifying and analyzing security vulnerabilities through fuzzing, reverse engineering, and code auditing.
• Strong programming skills in C and Python.
• Familiarity with ARM/AArch64 assembly language and low-level system internals.

ALC Technologies SG Pte Ltd is looking for an exceptional Quantitative Researcher to join our team. In this role you conduct creative research and impact our trading strategies. You will have the opportunity to work alongside co-founders who are industry experts in the rapidly developing field of cryptocurrencies and digital assets. This is a rare opportunity where your work will directly contribute to the success of new and existing trading strategies. If you also have hands-on experience in software development and agile methodologies, we’d like to meet you.

Key Responsibilities

• Research on core trading strategies: core algorithms, models, execution logic, performance optimization and monitoring
• Implement frameworks for developing, validating and testing trading strategies
• Analyse behavior of trades and avenues for improvement
• Responsible for improving our strategies, the P/L through pricing-based research, into monetization.
• Advance existing initiatives and explore opportunities for new research topics
• Drive technical innovation and improve simulations within the team through the evaluation of new tools and technologies

The Ideal Candidate

• Prior experience in a quantitative role within a trading environment or experience applying advanced quantitative techniques
• Passion for solving complex and data intensive problems
• Capable of delivering on multiple competing priorities with little supervision
• Strong proficiency in programming languages C++ and/or Python
• Bachelors, Masters or PhD in a technical field from top-tier universities such as Physics, Mathematics, Statistics, Engineering, Computer Science or equivalent

Compensation & Benefits

• Competitive salary based on experience
• Participation in company bonus pool
• Daily catered lunch
• Health insurance and wellness benefits
• Unlimited vacation policy

ALC Technologies SG Pte Ltd is looking for an exceptional Quantitative Researcher to join our team. In this role you conduct creative research and impact our trading strategies. You will have the opportunity to work alongside co-founders who are industry experts in the rapidly developing field of cryptocurrencies and digital assets. This is a rare opportunity where your work will directly contribute to the success of new and existing trading strategies. If you also have hands-on experience in software development and agile methodologies, we’d like to meet you.

Key Responsibilities

• Research on core trading strategies: core algorithms, models, execution logic, performance optimization and monitoring
• Implement frameworks for developing, validating and testing trading strategies
• Analyse behavior of trades and avenues for improvement
• Responsible for improving our strategies, the P/L through pricing-based research, into monetization.
• Advance existing initiatives and explore opportunities for new research topics
• Drive technical innovation and improve simulations within the team through the evaluation of new tools and technologies

The Ideal Candidate

• Prior experience in a quantitative role within a trading environment or experience applying advanced quantitative techniques
• Passion for solving complex and data intensive problems
• Capable of delivering on multiple competing priorities with little supervision
• Strong proficiency in programming languages C++ and/or Python
• Bachelors, Masters or PhD in a technical field from top-tier universities such as Physics, Mathematics, Statistics, Engineering, Computer Science or equivalent

Compensation & Benefits

• Competitive salary based on experience
• Participation in company bonus pool
• Daily catered lunch
• Health insurance and wellness benefits
• Unlimited vacation policy

ALC Technologies SG Pte Ltd is looking for an exceptional Quantitative Researcher to join our team. In this role you conduct creative research and impact our trading strategies. You will have the opportunity to work alongside co-founders who are industry experts in the rapidly developing field of cryptocurrencies and digital assets. This is a rare opportunity where your work will directly contribute to the success of new and existing trading strategies. If you also have hands-on experience in software development and agile methodologies, we’d like to meet you.

Key Responsibilities

• Research on core trading strategies: core algorithms, models, execution logic, performance optimization and monitoring
• Implement frameworks for developing, validating and testing trading strategies
• Analyse behavior of trades and avenues for improvement
• Responsible for improving our strategies, the P/L through pricing-based research, into monetization.
• Advance existing initiatives and explore opportunities for new research topics
• Drive technical innovation and improve simulations within the team through the evaluation of new tools and technologies

The Ideal Candidate

• Prior experience in a quantitative role within a trading environment or experience applying advanced quantitative techniques
• Passion for solving complex and data intensive problems
• Capable of delivering on multiple competing priorities with little supervision
• Strong proficiency in programming languages C++ and/or Python
• Bachelors, Masters or PhD in a technical field from top-tier universities such as Physics, Mathematics, Statistics, Engineering, Computer Science or equivalent

Compensation & Benefits

• Competitive salary based on experience
• Participation in company bonus pool
• Daily catered lunch
• Health insurance and wellness benefits
• Unlimited vacation policy

Overview

We are seeking an AI Researcher to join our R&D team to develop practical AI and machine learning solutions for real-world analytical problems. This role focuses on predictive modelling, statistical analysis, LLM-powered AI agents, and intelligent systems operating across structured and unstructured data.

Responsibilities

• Develop and evaluate predictive models including regression, classification, and forecasting models.
• Conduct EDA, statistical experimentation, hypothesis testing, and model validation on large datasets.
• Build and experiment with LLM systems involving RAG, AI agents, fine-tuning, LoRA, and vector databases.
• Develop scalable Python-based AI/ML pipelines and reproducible workflows.
• Work with structured and unstructured datasets, including text, image, audio, and multimodal data.

Requirements

• Proven experience training or fine-tuning machine learning and/or LLM models on datasets with at least 1 million records.
• Hands-on experience with one or more LLM fine-tuning techniques such as LoRA, QLoRA, PEFT, or SFT.
• Strong background in predictive analytics, statistical modelling, and machine learning.
• Experience evaluating model performance using experimentation, metrics, validation frameworks, and failure analysis.
• Experience working with large-scale structured and unstructured datasets.
• Strong Python programming skills with Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, and SQL.
• Experience building reproducible AI/ML pipelines and workflows.
• Good understanding of supervised, unsupervised, and generative AI models.

Preferred

• Experience with RAG, AI agents, LangChain/LangGraph, vector databases, or multimodal AI systems.
• Bachelor's, Master's, or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.

Job Responsibilities
1. Frontier Tech Exploration: Conduct deep optimization of LLM/VLM Agent architectures. Lead research in cutting-edge topics including Multimodal GUI Agents, Web Agents, and Long-term Memory mechanisms.

2. Agent Evolution (RL): Explore the application of Agentic RL in both real-world and simulated environments. Solve critical challenges such as policy drift in multi-turn long-horizon interactions, self-evolving mechanisms (Self-reflection/Discovery), and large-scale exploration efficiency.

3. Foundation Model Breakthroughs: Participate in the iteration of next-generation Agentic Foundation Models (e.g., MAI-UI 2.0). Significantly enhance model success rates in fine-grained UI perception, complex logical reasoning, and long-horizon planning.

4. Business Value Closure: Track SOTA (State-of-the-Art) developments to define and implement high-value scenarios for To-C personal assistants or To-B automation workflows, building AI-native applications with strong technical moats.

Job Qualifications
1. Academic Background: Master's or Ph.D. in Computer Science, AI, Mathematics, or related fields. Solid track record of research or high-level publications in LLM/VLM, Planning & Reasoning, or Reinforcement Learning.

2. Algorithm Depth & Breadth: Familiar with mainstream Large Model architectures (Transformers, MoE). Hands-on experience with Chain-of-Thought (CoT), Agent frameworks (e.g., LangGraph, AutoGPT), Tool-use augmentation, and RL algorithms (PPO, DPO, etc.) is highly preferred.

3. Hardcore Engineering: Strong systems thinking with the ability to handle convergence instability and hallucination suppression in large-scale training. Familiarity with inference acceleration, high-concurrency environment simulation, and Sandbox virtualization for Agent infrastructure.

4. Language & Collaboration: Proficiency in English and Mandarin (Chinese) is required. This role involves daily technical collaboration, code reviews, and architectural discussions with our R&D teams in China.

5. Geek Spirit: Exceptional technical curiosity and self-drive. Proven ability to define ambiguous problems from 0 to 1 and maintain leadership in rapidly evolving industry benchmarks.

6. Minimum 1 year of experience.

Bonus Points:

1. Academic/Community Influence: First-author publications in top-tier conferences (NeurIPS, ICLR, ICML, CVPR, etc.) or lead contributor to renowned open-source projects (GitHub 1k+ Stars).

2. Competition Honors: ACM/ICPC regional gold medals or above, or top rankings in LLM/Agent-related challenges (e.g., GAIA, OSWorld, SWE-bench).

3. System-level Expertise: Experience leading the full-cycle training of models with 3B+ parameters. Deep customization experience with distributed frameworks like Megatron-LM or DeepSpeed.

4. Cross-stack Capabilities: Background in low-level system development, with familiarity in browser engines (Chromium/WebKit), Linux kernel, or containerization.

About the Role

We're hiring an experienced Quantitative Researcher/ Analyst to strengthen our modelling capabilities, with a primary focus on identifying and modelling toxic and abusive trading flows and clients. This is a high-impact role sitting at the intersection of risk, pricing, and platform integrity.

Responsibilities

• Develop, test, and deploy quantitative models to detect, classify, and mitigate toxic and abusive order flow and client behaviour
• Analyze trading patterns to distinguish profitable, benign, and predatory flow across multiple asset classes
• Build and refine models supporting swap rates, funding rates, and pricing
• Collaborate with trading, engineering, and risk teams to operationalize models on-chain
• Monitor model performance and adapt to evolving market conditions and adversarial behaviour
• Translate complex quantitative findings into actionable recommendations for stakeholders

Job Requirements

• At least a Bachelor's degree in a technical discipline (sciences, engineering, mathematics, or similar)
• 5+ years of experience in a quantitative analyst or similar role
  Demonstrated experience modelling toxic and abusive flows and clients
• Strong programming and statistical modelling skills
• Experience building models for swap rates, funding rates, and pricing
• Knowledge and hands-on experience in crypto, RWAs(equities, commodities, fx), and D1s (perpetuals, CFDs)
• Familiarity with trading environments
• Experience partnering with technology teams to build risk analysis databases and develop reporting frameworks to support decision-making.

Role purpose

Our South-east Asia Intelligence & Investigations team works closely with leading multinational corporations, financial institutions, private market investors and law firms to help them understand and manage complex business risks across the region.

We support clients on a wide range of matters, including integrity due diligence, reputational risk assessments, investigations, political and regulatory risk analysis, and strategic market-entry decisions. Our work helps clients make informed decisions, protect their operations and navigate challenging operating environments.

Researchers play a key role in supporting the delivery of high-quality, client-ready intelligence and analytical reports. They contribute to research, analysis and report drafting across a variety of assignments, while also supporting the practice’s business development and thought leadership activities through the preparation of client briefings, sector updates and other research materials.

This role offers an excellent opportunity for candidates with a strong academic and/or professional interest in Vietnam and Southeast Asia to develop a career in business intelligence, strategic advisory and risk consulting. While this is an early-career role, candidates with relevant professional experience will be viewed favourably.

Role tasks and responsibilities

Research, analysis and report writing

• Conduct in-depth research and analysis using public records, media reporting, corporate disclosures, databases and other open-source materials
• Support the production of high-quality, client-ready reports within agreed timelines and budgets
• Analyse complex information and identify key reputational, political, commercial and integrity risks relevant to client objectives
• Contribute to integrity due diligence, business intelligence and investigative assignments across Southeast Asia, with a primary focus on Vietnam
• Work closely with project managers, editors and regional colleagues to ensure analytical consistency and high-quality deliverables
• Support the identification of emerging political, regulatory and business trends relevant to clients operating in the region

Business development and knowledge management

• Conduct research and prepare materials to support client engagements, proposals, briefings and marketing activities
• Contribute to internal knowledge management by maintaining and expanding the practice’s databases and research resources
• Support the preparation of sector briefings, thematic research and thought leadership content
• Attend client meetings, calls and research trips where appropriate

Requirements

Knowledge and experience

•  Excellent command of written and spoken English and Vietnamese
•  Strong research, analytical and report-writing skills
•  Ability to synthesise and communicate complex information clearly and concisely
•  Strong critical thinking and problem-solving capabilities
•  Demonstrated interest in political, economic and business developments in Vietnam and Southeast Asia
•  Good understanding of commercial transactions and corporate structures
•  Strong attention to detail and ability to manage multiple priorities under tight deadlines
•  Ability to work independently as well as collaboratively within a regional team environment
•  Strong professional ethic, intellectual curiosity and willingness to learn

Qualifications and specialist skills

•  At least a Bachelor’s degree in a relevant discipline, such as international relations, political science, economics, business, finance, journalism, communications or other social sciences
•  Relevant internship or professional experience in research, consulting, journalism, risk advisory, investigations or related fields would be advantageous

Brief Summary:
Join an innovative team focused on enhancing the construction industry through cutting-edge technologies. This role is ideal for individuals eager to lead projects that integrate advanced systems and digitalization.

Responsibilities:

• Plan and manage research and development projects aimed at digitalizing construction systems.
• Collect, classify, and analyze data pertinent to project objectives.
• Prepare and conduct experiments both in laboratory settings and real project sites.
• Oversee project team operations for efficient development execution.
• Create comprehensive documents, reports, and grant applications.
• Organize and facilitate project meetings to ensure effective communication.
• Identify and research advanced technologies that enhance construction processes.
• Support site teams in the implementation of innovative technologies on the ground.

Requirements:

• Relevant degree in engineering, architecture, or a related field.
• Proven experience in managing multiple projects focused on integrated development delivery (IDD).
• Proficiency in BIM software and additional construction-related technologies.
• Basic understanding of the construction process and methodologies.
• Experience in software development or training related to BIM is advantageous.
• Fundamental knowledge of Quantity Surveying is preferred.

Interested candidates who wish to apply for the advertised position, please click on “Apply”. We regret that only shortlisted candidates will be notified. 
 
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Introduction to The Centre for Precision Fermentation and Sustainability:

The Centre for Precision Fermentation and Sustainability (PreFerS) is a research program hosted by the Illinois Advanced Research Center at Singapore Ltd. (Illinois ARCS). The program aims to develop advanced fundamental sciences and technologies to implement fermentation-based production of foods and food ingredients, and also to enhance food security and sustainability in Singapore, particularly addressing the micronutrient food insecurity through precision fermentation.

About This Role:

We are seeking a highly motivated Postdoctoral Researcher to join our team in microbial synthetic biology and metabolic engineering. Our research focuses on designing and engineering microbial systems for applications in precision fermentation. This position provides an exciting opportunity to work on interdisciplinary research at the interface of microbial pathway engineering, metabolic regulation, and advanced analytical techniques.

Duties and Responsibilities:

(1) Conduct high-level research in synthetic biology and metabolic engineering, both independently and in collaboration with internal and external researchers.

(2) Perform experiments involving microbial pathway design, plasmid construction and strain development in microbes.

(3) Utilize advanced analytical techniques such as fluorescence microscopy and high-performance liquid chromatography for experimental validation.

(4) Develop research content and contribute to the writing of peer-reviewed publications.

Minimum Qualifications:

(1) Ph.D. in Synthetic Biology, Metabolic Engineering, Microbiology, or a related discipline.

(2) Extensive experiences in strain engineering and high-performance liquid chromatography.

(3) Experience in culturing and engineering of lactic acid bacteria will be a plus.

Knowledge, Skills, and Abilities:

(1) Strong wet lab skills in microbial pathway design, plasmid construction, and strain engineering.

(2) In-depth knowledge of microbial metabolism and gene regulation.

(3) Demonstrated ability to work effectively in a multidisciplinary research team.

How to Apply:

Interested candidates should submit:

1. A cover letter detailing their research interests and relevant experience.
2. A curriculum vitae (CV) including a list of publications.
3. Contact information for three references.

Shortlisted candidates will be contacted for further assessment.

Brief Summary:
Join an innovative team focused on enhancing the construction industry through cutting-edge technologies. This role is ideal for individuals eager to lead projects that integrate advanced systems and digitalization.

Responsibilities:

• Plan and manage research and development projects aimed at digitalizing construction systems.
• Collect, classify, and analyze data pertinent to project objectives.
• Prepare and conduct experiments both in laboratory settings and real project sites.
• Oversee project team operations for efficient development execution.
• Create comprehensive documents, reports, and grant applications.
• Organize and facilitate project meetings to ensure effective communication.
• Identify and research advanced technologies that enhance construction processes.
• Support site teams in the implementation of innovative technologies on the ground.

Requirements:

• Relevant degree in engineering, architecture, or a related field.
• Proven experience in managing multiple projects focused on integrated development delivery (IDD).
• Proficiency in BIM software and additional construction-related technologies.
• Basic understanding of the construction process and methodologies.
• Experience in software development or training related to BIM is advantageous.
• Fundamental knowledge of Quantity Surveying is preferred.

EA License No.: 01C4394 (PERSOL SINGAPORE PTE LTD)

Registration No.: R23112488 (Julian Nerchan)

By sending us your personal data and curriculum vitae (CV), youare deemed to consent to PERSOL Singapore Pte Ltd and its affiliates tocollect, use and disclose your personal data for the purposes set out in thePrivacy Policy available at https://www.persolsingapore.com/policies. Youacknowledge that you have read, understood, and agree with the Privacy Policy.

Job Description

●Participate in the research, development, and implementation of visual content generation technologies for game marketing and game development scenarios, including but not limited to image/video Ads Creatives generation, playable Ads generation, game asset generation, and game scene generation.

●Evaluate and track cutting-edge multimodal generative models (such as Flux, Qwen, Sora, and Wan series), continuously improving generation quality and efficiency.

●Build a complete visual content generation pipeline—from data processing and model training to inference and service deployment—to support the production needs of content teams.

●Explore innovative applications of generative AI based on business requirements, such as character-generation tools, automated video editing, dynamic promotional material generation, and more.

Job Requirements

●Master’s degree or above in Computer Science, Artificial Intelligence, Computer Graphics, Machine Learning, or related fields. Candidates with backgrounds in visual arts, film production, animation design, digital media, or other interdisciplinary fields are also welcome.

●At least 2 years of relevant experience in Ads Creative(image or video) generation, with hands-on experience in training or fine-tuning deep learning models in these domains. Proficiently use tools such as Sora2, Jimeng, Keling, Nano Banana, and ChatGPT 4o. Familiar with ComfyUI and WebUI for building private workflows.

●Prior experience in the gaming or animation industries is preferred.

●Over 1,000 hours of gaming experience within the past three years is a strong plus.

●Strong sensitivity to visual style or formal training in fine arts is preferred.

●Passion for AI creativity and game-oriented applications; candidates with an AI video portfolio will be prioritised.

●Familiarity with tools such as Maya, Blender, Unity, and Unreal Engine is a significant advantage.

Responsibilities

• Collaborate with cyber threat experts to enhance system security
• Conduct fuzzing, reverse engineering and code audit to look out for security flaws on software
• Develop proof-of-concept in software security flaws
• Investigate security flaws found and provide remedies to counter cyber threats

Required skills

• Diploma/Degree in Information System, Computer Science or Computer Engineering or equivalent
• Singaporean only
• Minimum 3 - 5 years experience

Preferred Skills

• Experience in reverse engineering
• Experience with code auditing and a deep knowledge of the different vulnerability types
• Experience in vulnerability finding
• Experience in C and python programming, ARM/AArch64assembly

Job Description:

• Conduct cutting-edge research in the field of recommendation & search, natural language processing and deep learning &LLM.
• Develop AI-enabled products and services with other groups in the company
• Collaborate with world-class organizations in academia projects

Skills / Qualifications:

• Possess a PhD degree in computer science, statistics, applied mathematics, or have equivalent research experiences
• Demonstrate the ability to generate new ideas.
• Have 3 years of academic or industrial working experiences in recommendation & search, natural language processing, deep learning, machine learning, or related fields
• Have strong programming skills, experienced in one or more programming languages including but not limited to: C/C++, Java, Python.

Interested candidate please click"APPLY" to begin your job search journey.

We regret to inform that only shortlistedcandidates will be notified.

By sending us yourpersonal data and curriculum vitae (CV), you are deemed to consent to PERSOLSingapore Pte Ltd and its affiliates to collect, use and disclose your personaldata for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge thatyou have read, understood, and agree with the Privacy Policy. 

PERSOL Singapore Pte Ltd

• RCB No. 200007268E • EA License No. 01C4394

• Registration ID: Heah Sian Wei R23117518

Roles & Responsibilities

1.    Conduct fundamental research on agentic AI problems, including but not limited to the GUI agents, memory and reasoning, reinforcement learning, AI and environment interaction.

2.    Research on long-term ambitious goals, while laying out intermediate milestones. 

3.    Publish influential research work on top conferences and journals. 

4.    Collaborate on large projects that are strategically prioritized by the lab.

Knowledge & Competencies:
1.     Work experience in a university, industry, or government lab(s), in a role with primary emphasis on AI research. 

2.     Hold a Ph.D. /master degree in computer science, statistics, applied mathematics, data science or other related disciplines. 

3.     First-author publications at peer-reviewed AI conferences (e.g. ICLR, ICML).

4.     Knowledge in one of the differentiable programming frameworks, e.g., PyTorch, TensorFlow, JAX. 

5.     Knowledge in AI agents.

Key Responsibilities

• Lead and contribute to applied and exploratory research projects, including defining research objectives, reviewing relevant literature, and designing appropriate research approaches.

• Develop and apply research frameworks, conceptual models, or analytical methods to address complex research questions.

• Independently conduct data‑supported analyses or structured studies, ensuring analytical rigour and methodological soundness.

• Synthesize research findings into clear, well‑structured outputs, such as research reports, working papers, policy‑relevant briefs, or publications.

• Collaborate with fellow researchers and stakeholders in interdisciplinary research teams, contributing to collective project outcomes.

• Support research dissemination activities, including presentations, seminars, workshops, and briefings, where appropriate.

Qualifications & Skills

• Degree or Master’s qualification (PhD considered an advantage) in a relevant quantitative, scientific, applied mathematics/ statistics or research‑oriented discipline, or a closely related field.

• Demonstrated research experience with evidence of substantive research contributions (e.g. publications, reports, funded projects, or equivalent outputs).

• Strong analytical and conceptual skills, with the ability to translate research questions into structured and defensible research approaches.

• Familiarity with research and analytical tools appropriate for independent research work.

• Excellent written and verbal communication skills, with the ability to articulate research findings clearly to diverse audiences.

• Ability to work independently while collaborating effectively within a multidisciplinary research environment.

Interested candidate please click on the following link to begin your job search journey and submit your CV directly through the official PERSOL job application platform - GO Mobile.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg.... You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOL Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R25159218 (Teoh Ying Ying)

Overview:

First Plus is a licensed asset management firm deeply rooted in Asia-Pacific, with a strategic focus on the Asia-Pacific region. Grounded in fundamental research and shaped by botheastern and western perspectives, we have developed a distinct investment philosophy forged through market cycles and real-world complexity.

This role is a core member of the firm's quantamental team, with a primary focus on global equity markets including China, the US, and Southeast Asia. The position is responsible forthe research, construction, and continuous refinement of fundamental multi-factor models. The successful candidate will be deeply involved in the full quantitative research pipeline — from factor discovery and strategy development through to backtesting and validation — while collaborating closely with data, technology, and trading teams to translate research into executable investment strategies. The role requires a combination of strong financialengineering fundamentals and hands-on quantitative research experience, with the ability to independently drive projects and innovate in a fast-paced, research-driven environment.

Key Responsibilities:

• Analyze multi-dimensional data across global equity markets (including China, the US, and Southeast Asia) to uncover quantifiable trading logic and build a multi-factor model framework centered on fundamental factors.
• Research and review cutting-edge academic literature; collect, analyze, and process equity fundamental data; conduct in-depth factor efficacy research including screening, construction, evaluation, and optimization; analyze factor stability, interpretability, and inter-factor correlations to support strategy enhancement.
• Develop quantitative strategies and optimize parameters; leverage backtesting and paper trading to continuously improve strategy adaptability, robustness across varying market environments, and long-term profitability.
• Oversee strategy risk management and backtesting analysis; apply risk models such as Barra for risk control; conduct strategy refinement and risk adjustment in response to evolving market conditions.
• Collaborate closely with data, technology, and trading teams to drive the efficient implementation and iterative optimization of quantitative strategies.

Qualifications & Requirements:

• Bachelor's degree or above from a reputable domestic or international university in Financial Engineering, Computer Science, Mathematics, Statistics, Finance, or a related field; strong English reading and writing skills.
• 3–5 years of experience in quantitative strategy research; solid grounding in financial engineering, statistics, mathematics, and finance; deep understanding of multi-factor strategies with particular strength in fundamental factor construction and optimization; candidates with live trading experience preferred.
• Strong understanding of equity markets and market analysis capabilities; genuine intuition and interest in fundamental investing, with the ability to refine factors and strategies in response to market dynamics.
• Proficiency in at least one programming language (Python, R, C++, or MATLAB); strong data processing and modeling capabilities to efficiently implement, optimize, and backtest quantitative strategies.
• Strong bilingual communication skills in Chinese and English; able to read overseas research reports fluently and write or present research findings in both languages.