Total 7 Finance job vacancies in Maintenance / Repair category in The United States of America

Our company is at the forefront of innovation in financial technology. Our mission is to develop an AI-driven platform that predicts market trends, empowering retail investors with the tools previously only accessible to professionals. We're looking for a talented Senior Machine Learning Developer with an interest in finance to join our growing team in our Singapore office.

Responsibilities:

• Develop and Implement Machine Learning Models: Design, build, and implement predictive models to forecast market trends, enhancing our platform's capabilities.
• Collaborate with Cross-Functional Teams: Engage closely with data engineers, quantitative researchers, and product managers to create data-driven trading strategies and algorithms.
• Data Analysis and Feature Engineering: Utilize various data sources to craft insightful features for machine learning models.
• Continuous Improvement: Monitor and fine-tune models for peak performance and efficiency.
• Stay Up-to-Date: Maintain awareness of the latest trends in machine learning and predictive modeling.

Qualifications:

• Education: Bachelor's/Master's/Ph.D. in Computer Science, Mathematics, or related field.
• Experience: 5+ years of experience in machine learning.
• Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.
• Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.
• Problem-Solving: Outstanding problem-solving skills with an ability to apply machine learning techniques to complex market data.
• Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

• Experience with time-series analysis and forecasting.
• Familiarity with cloud computing platforms like AWS, Azure, etc.
• Knowledge of financial industry and working with big data.

Our company is at the forefront of innovation in financial technology. Our mission is to develop an AI-driven platform that predicts market trends, empowering retail investors with the tools previously only accessible to professionals. We're looking for a talented Senior Machine Learning Developer with an interest in finance to join our growing team in our Singapore office.

Responsibilities:

• Develop and Implement Machine Learning Models: Design, build, and implement predictive models to forecast market trends, enhancing our platform's capabilities.
• Collaborate with Cross-Functional Teams: Engage closely with data engineers, quantitative researchers, and product managers to create data-driven trading strategies and algorithms.
• Data Analysis and Feature Engineering: Utilize various data sources to craft insightful features for machine learning models.
• Continuous Improvement: Monitor and fine-tune models for peak performance and efficiency.
• Stay Up-to-Date: Maintain awareness of the latest trends in machine learning and predictive modeling.

Qualifications:

• Education: Bachelor's/Master's/Ph.D. in Computer Science, Mathematics, or related field.
• Experience: 5+ years of experience in machine learning.
• Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.
• Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.
• Problem-Solving: Outstanding problem-solving skills with an ability to apply machine learning techniques to complex market data.
• Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

• Experience with time-series analysis and forecasting.
• Familiarity with cloud computing platforms like AWS, Azure, etc.
• Knowledge of financial industry and working with big data.

Benefits:

• Competitive salary and performance-based incentives.
• Dynamic and collaborative working environment.
• Comprehensive benefits package, including healthcare.
• Continuous learning and professional growth opportunities.

Assistant Manager, Leasing & Maintenance

About The Company

Sing Investments & Finance Limited (SIF) has more than 50 years of lending experience in the financing arena in Singapore. Our core activities include the acceptance of fixed and saving deposits from the public as well as the provision of loans and credit facilities to individuals and corporations, particularly the Small and Medium Enterprises (SMEs) in Singapore. The relationships that have been built over the years have earned us the reputation as one of Singapore's trusted finance companies. We are seeking dynamic individuals to grow with us and to continue building relationships with our valued customers.

We are looking to recruit an experienced and motivated Assistant Manager, Leasing & Maintenance based in our Head Office in the CBD.

General Job Scope:

• Schedule and commence periodic maintenance of assigned Facilities and utilities systems but not limited to electrical, building/carpark maintenance, fire alarm system, security, cleaning and pest control, to ensure a safe and reliable business environment
• Ensure audit readiness by complying with effective standards, regulatory/statutory requirements
• Achieve financial objectives by managing allocated budget; recommend and initiate cost improvement measures
• Maintain close and regular liaison with tenants to ensure satisfaction with all aspects of Tenancy Management and Leasing
• Source and secure suitable tenants to maximize yield
• Handle all lease documentation, rent review and other service contracts negotiations
• Other duties as assigned by Management

Required Qualification, Skills and Attributes:

• Degree / Diploma in Real Estate or related field
• Minimum 2 years’ relevant experience in a similar capacity in leasing and maintenance
• Sound understanding of the real estate industry
• Strong interpersonal, communication and negotiation skills
• Attention to detail and task oriented

Only shortlisted candidates will be notified.

Remuneration and corporate rank will commensurate with experience.

Our company is at the forefront of innovation in financial technology. Our mission is to develop an AI-driven platform that predicts market trends, empowering retail investors with the tools previously only accessible to professionals. We're looking for a talented Senior Machine Learning Developer with an interest in finance to join our growing team in our Singapore office.

Responsibilities:

• Develop and Implement Machine Learning Models: Design, build, and implement predictive models to forecast market trends, enhancing our platform's capabilities.
• Collaborate with Cross-Functional Teams: Engage closely with data engineers, quantitative researchers, and product managers to create data-driven trading strategies and algorithms.
• Data Analysis and Feature Engineering: Utilize various data sources to craft insightful features for machine learning models.
• Continuous Improvement: Monitor and fine-tune models for peak performance and efficiency.
• Stay Up-to-Date: Maintain awareness of the latest trends in machine learning and predictive modeling.

Qualifications:

• Education: Bachelor's/Master's/Ph.D. in Computer Science, Mathematics, or related field.
• Experience: 5+ years of experience in machine learning.
• Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.
• Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.
• Problem-Solving: Outstanding problem-solving skills with an ability to apply machine learning techniques to complex market data.
• Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

• Experience with time-series analysis and forecasting.
• Familiarity with cloud computing platforms like AWS, Azure, etc.
• Knowledge of financial industry and working with big data.

Benefits:

• Competitive salary and performance-based incentives.
• Dynamic and collaborative working environment.
• Comprehensive benefits package, including healthcare.
• Continuous learning and professional growth opportunities.

Our company is at the forefront of innovation in financial technology. Our mission is to develop an AI-driven platform that predicts market trends, empowering retail investors with the tools previously only accessible to professionals. We're looking for a talented Senior Machine Learning Developer with an interest in finance to join our growing team in our Singapore office.

Responsibilities:

· Develop and Implement Machine Learning Models: Design, build, and implement predictive models to forecast market trends, enhancing our platform's capabilities.

· Collaborate with Cross-Functional Teams: Engage closely with data engineers, quantitative researchers, and product managers to create data-driven trading strategies and algorithms.

· Data Analysis and Feature Engineering: Utilize various data sources to craft insightful features for machine learning models.

· Continuous Improvement: Monitor and fine-tune models for peak performance and efficiency.

· Stay Up-to-Date: Maintain awareness of the latest trends in machine learning and predictive modeling.

Qualifications:

· Education: Bachelor's/Master's/Ph.D. in Computer Science, Mathematics, or related field.

· Experience: 5+ years of experience in machine learning.

· Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.

· Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.

· Problem-Solving: Outstanding problem-solving skills with an ability to apply machine learning techniques to complex market data.

· Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

Experience with time-series analysis and forecasting.

Familiarity with cloud computing platforms like AWS, Azure, etc.

Knowledge of financial industry and working with big data.

Benefits:

Competitive salary and performance-based incentives.

Dynamic and collaborative working environment.

Comprehensive benefits package, including healthcare.

Continuous learning and professional growth opportunities.

• Processing and distributing correspondence regarding debt handled by the DMC.
• Accepting and/or rejecting offers to repay debts based on the length of the repayment plan, the amount of indebtedness, and the debtor's financial situation.
• Proposing alternative acceptable repayment plans when appropriate.
• Initiating the process to write off debts that meet the criteria provided in agency regulations and manuals.
• Serving as a principal point of contact for clients/customers regarding accounts receivable.
• Providing an explanation of accounts through correspondence.
• Reviewing and inputting transactions on waiver decisions.

Work Schedule: Officer hours for this position will be established between 6:00 a.m. - 6:00 p.m.
Telework Available: Yes
Duty Location Status: Fort Snelling, MN
Title/PD#: Accounts Receivable Technician GS - 5/6; PD 03441A, PD 03440A
Promotion Potential: GS-07
Time-in-grade: Applicants who are/were federal employees and have held a GS grade any time in the past 52 weeks must also meet time-in-grade requirements. There is no time in grade requirement for GS-05. For a GS-06 position you must have served 52 weeks at the GS-05 level. To support your claim of time in grade, you must submit your most recent appointment, promotion, or within grade increase SF-50 (not an award or general adjustment SF-50). Some applicants may have to submit more than one SF-50 to demonstrate their eligibility. See the required documents section for more information.

Physical Requirements: The work is performed mostly while sitting at a desk. Some movement and light lifting may be necessary when using microfiche or other files. Constant use of computer terminals requires keyboard familiarity and dexterity.

Placement Policy: The posting of this announcement does not obligate management to fill a vacancy or vacancies by promotion. The position may be filled by reassignment, change to lower grade, transfer, appointment, or reinstatement. Management may use any one or any combination of these methods to fill the position.

Special Employment Consideration: VA encourages persons with disabilities to apply, including those eligible for hiring under 5 CFR 213.3102(u), Schedule A, appointment of persons with disabilities [i.e., intellectual disabilities, severe physical disabilities, or psychiatric disabilities], and/or disabled Veterans with a compensable service-connected disability of 30% or more. Please contact the special placement coordinator or the human resources specialist listed on this vacancy for more information regarding applying for consideration under schedule A or as a 30% disabled Veteran.

Starting at $32,357 Per Year (GS 5-6)

• Maintaining current knowledge and answers questions from employees on procedures, policies, directives, etc.
• Reviewing operational processes and functions to determine that internal controls are functionally adequate to safeguard sensitive information and funds.
• Developing and refining processes, both as a customer and with stakeholders
• Tracking and addressing issues impacting deposits with Federal Reserve Bank (FRB); and root-cause analysis and solutioning.
• Testing new equipment, software, and processes to determine adequacy and breadth of organizational impact.
• Examining complex cases to determine and explain how check proceeds were adjudicated.
• Serving as Subject Matter Expert (SME) for check and mail processing procedures.
• Reviewing potential transactions for errors.
• Assisting supervisor with planning, scheduling, preparing, and assigning daily workflow for both the mail processing and check processing teams.
• Establishing and adjusting unit priorities and allocates resources based on ever-changing priorities within the Organization.
• Exercising general oversight of staff workload and ensures that shipping resources such as envelopes and metered postage are available.

Work Schedule: Hours for this position will be established between 6:00 a.m. - 6:00 p.m. CST Alternate work schedules may be available
Telework Available: Available (as determined by agency)
Duty Location Status: Fort Snelling, MN
Title/PD#: Accounts Receivable Technician GS - 7; PD 41252A
Promotion Potential: GS-07
Time-in-grade: Applicants who are/were federal employees and have held a GS grade any time in the past 52 weeks must also meet time-in-grade requirements. For a GS-07 position you must have served 52 weeks at the GS-06 level. To support your claim of time in grade, you must submit your most recent appointment, promotion, or within grade increase SF-50 (not an award or general adjustment SF-50). Some applicants may have to submit more than one SF-50 to demonstrate their eligibility. See the required documents section for more information.

Physical Requirements: Work is typically performed while sitting. Duties require some physical exertion, such as extended periods of standing, bending, reaching, or similar activities necessary to set up, operate, adjust, and monitor operation of the equipment.

Placement Policy: The posting of this announcement does not obligate management to fill a vacancy or vacancies by promotion. The position may be filled by reassignment, change to lower grade, transfer, appointment, or reinstatement. Management may use any one or any combination of these methods to fill the position.

Special Employment Consideration: VA encourages persons with disabilities to apply, including those eligible for hiring under 5 CFR 213.3102(u), Schedule A, appointment of persons with disabilities [i.e., intellectual disabilities, severe physical disabilities, or psychiatric disabilities], and/or disabled Veterans with a compensable service-connected disability of 30% or more. Please contact the special placement coordinator or the human resources specialist listed on this vacancy for more information regarding applying for consideration under schedule A or as a 30% disabled Veteran.

Starting at $50,660 Per Year (GS 7)