The Role

We are seeking a proactive leader to partner with Rates & FX PMs across Asia-Pacific, driving business management, PM onboarding, business analytics, and cross-functional initiatives. This role combines strategic planning, operational execution, and data-driven insights toop timize performance, enhance efficiency, and support growth across the Asia Macro & Fixed Income platform. This person will act as the day-to-day business manager for Schonfeld's Macro & Fixed Income platform in Asia, covering Singapore, Hong Kong, and any future APAC locations. This role reports into the COO of DMFI.

What You'll Do

Business Management

·      Act as a partner to Rates &FX PMs across Asia-Pacific, translating investment goals into resourcing, capital, and infrastructure plans.

·      Develop and own the business plans for various strategic growth initiatives and PM builds in the region.

·      Continuously analyze desk P&L, risk, liquidity, funding and balance-sheet usage; recommend actions to enhance returns and capital efficiency.

·      Identify new product or market opportunities specific to Asia (e.g., CNH/CNY markets, Asian NDF flows, local government bond markets, SGD/HKD/KRW/INR derivatives) and drive approval /launch.

·      Leverage AI and automation tools to streamline reporting, surface actionable insights, and enhance decision-making speed.

·      Navigate Asia-specific regulatory environments and ensure business operations remain compliant.

PM Onboarding & Lifecycle Management

·      Lead onboarding of new Macro/Fixed Income PM teams in Asia: capital allocation sizing, risk limits, market-data entitlements, trading-system connectivity, and broker relationships.

·      Coordinate pre-launch testing, market data, and trading integrations for newly on-boarded PMs across Asian time zones.

·      Serve as escalation point and "trusted advisor" to existing PMs for any trading, infrastructure or counterparty issues.

Business & Performance Analytics

·      Design dashboards on KPIs and business metrics; present insights to PMs and senior management.

·      Lead cost/benefit cases for data, analytics and technology spend; track realized savings and ROI.

·      Deploy AI/ML-driven analytics to identify patterns in performance, risk, and cost data that inform strategic decisions.

Cross-Functional Leadership

·      Lead strategic, cross-functional projects across operations, treasury, compliance, and technology—owning end-to-end delivery and change management.

·      Run high-priority, cross-desk projects (e.g., Asia CCP onboarding, FX TCA implementation, intraday risk enhancements, local clearing mandates).

·      Coordinate with Legal / Treasury on ISDA, CSA, give-ups and clearing mandates to support trading strategies across Asian jurisdictions.

·      Collaborate closely with the North America and EMEA regional leads to ensure consistency of processes and best-practice sharing.

Vendor & Data Management

·      Own the vendor lifecycle for trading and analytics platforms in Asia (contract negotiation, SLA governance, ongoing performance reviews).

·      Stay abreast of emerging data/analytics and AI vendors in macro and fixed income and evaluate fit for the platform.

·      Champion adoption of AI-powered tools (e.g., LLMs for research synthesis, NLP for news/sentiment, GenAI for workflow automation).

What You'll Bring

·      7-10+ years in business management / COO, product or trading-related role on the buy-side (hedge fund, asset manager) or sell-side fixed income business. Strong preference for candidates that have already been in broad business management roles within hedge fund platforms.

·      Deep product knowledge across rates and FX cash & derivatives: government bonds, swaps, futures, options, swaptions, NDFs, forwards, cross-currency swaps, with strong knowledge of Asian rate and FX markets (CNH, SGD, KRW, INR, THB, etc.).

·      Strong grasp of pricing, valuation, risk, funding & liquidity, margin and capital usage.

·      Familiarity with Asia-specific regulatory frameworks (MAS, SFC, HKMA, JFSA) and local market conventions.

·      Fluency with trading technologies: order & execution-management systems, market-data feeds.

·      Advanced analytical toolkit—Excel/ VBA a must; Python, SQL or PowerBI strongly preferred.

·      Hands-on experience with AI/ML tools and frameworks; demonstrated ability to apply generative AI, LLMs, or automation to business processes, analytics, or operational workflows.

·      Proven ability to negotiate commercial terms with banks, venues and data providers.

·      Exceptional project-management, prioritization and stakeholder-influencing skills; comfortable presenting to senior management.

·      Highly organized, proactive and able to manage multiple deliverables in a fast-moving market environment.

·      Impeccable integrity and discretion when handling sensitive trading and financial information.

·   Ability to work across time zones and collaborate effectively with global counterparts.

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase supports the firm’s data and analytics capabilities, enabling risk management, business strategy, and operational excellence. The Asia Pacific CDAO advances data and analytics strategy, platforms, and governance to deliver responsible outcomes across APAC markets.

As an Associate in APAC Data Privacy within the Firmwide Privacy Office, you will help implement and maintain the firm’s privacy program across the Asia Pacific region. This role offers the opportunity to work in a dynamic, regulated financial environment, collaborating with cross-functional teams to support compliance, operational effectiveness, and a strong culture of data protection.

Key Responsibilities

• Assist with projects to enhance the firm’s privacy program from an APAC perspective.

• Support the implementation of privacy initiatives, adapting global programs for the APAC region.

• Help review privacy requirements for new business initiatives, including privacy notices and regulatory compliance.

• Contribute to mapping regulatory requirements for Data Protection Officers (DPOs) across APAC.

• Support data incident risk assessments and breach notification processes.

• Help draft and maintain governance documentation, such as policies and procedures.

• Assist in developing and implementing Firmwide Privacy Office (FPO) standards and procedures for APAC.

• Support the development of privacy controls and training programs.

• Participate in training sessions and regional strategy planning.

Required Qualifications, Capabilities, and Skills

• Bachelor’s degree in Law, Economics, Business or related field

• 3+ years of experience in privacy program design and implementation, preferably within the financial services or regulated sector.

• Familiarity with APAC privacy laws and global frameworks such as GDPR and CCPA.

• Experience supporting privacy assessments, risk reviews, or incident response.

• Ability to work collaboratively across teams and regions.

Preferred Qualifications, Capabilities, and Skills

• Legal or compliance background is a plus.

• Familiarity with privacy certifications (e.g., CIPP-A, CIPP-E) is advantageous.

• Understanding of AdTech, online tracking, or emerging privacy technologies is helpful.

• Design and operationalize technology controls for privacy and data risk.

• Translate privacy/business requirements into implementable technology controls across big data and AWS environments; oversee/challenge 1LOD Data, Privacy & AI controls, define/execute data risk testing, and continuously monitor control effectiveness, gaps, KRIs/MI, and remediation.

• Drive data quality and governance controls using SQL, DataBricks, and metadata/catalog tooling (e.g., Informatica/Collibra, RDHP, Jade); analyze complex datasets, report DQ findings/trends and emerging risks.

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=1fff9d63b8f379c96ce36f2e7a96fa5a

The Chief Data & Analytics Office (CDAO) at JPMorganChase is pivotal in advancing the firm’s data and analytics capabilities, ensuring strong adherence to data & AI risk & control while enabling the data & analytics strategy for superior decision-making and business outcomes to serve our clients and markets. By leveraging data & AI/ML, the CDAO develops innovative solutions to support commercial goals, enhance productivity, and manage risks. The Asia Pacific Chief Data & Analytics Office (CDAO) advances the firm’s data and analytics strategy, platforms, solutions, capabilities, and governance to deliver trustworthy, responsible, innovative, and commercially valuable outcomes across the APAC markets and businesses.

As a Data & AI Platform Product Manager – Associate within the APAC Chief Data & Analytics Office, you will support the APAC technical product agenda for the firm’s Data & AI platform capabilities. You will help translate APAC business, regulatory, and user needs into clear requirements, well-structured backlog inputs, and measurable adoption outcomes. You will partner with APAC and global stakeholders across Product, Engineering, Customer Success, Product Enablement, Business Adoption, Risk, Controls, Data/AI Governance, and Lines of Business to help ensure platform capabilities are fit-for-purpose, production-ready, and scalable across APAC markets.

Job responsibilities

• Support APAC technical product discovery with business sponsors, end users, client technology teams, Customer Success, and Business Adoption to identify high-impact Data & AI platform opportunities

• Build and maintain understanding of APAC workflows, user pain points, data flows, technical constraints, regulatory expectations, and adoption barriers across markets and Lines of Business

• Help triage incoming demand to determine the right path (self-serve, product expertise, solution design, new feature development, or APAC-specific capability) and draft clear problem statements and success criteria

• Gather and document APAC-specific platform requirements across functional, data, integration, access/entitlements, controls, and user experience needs, including user journeys and acceptance criteria

• Translate data governance, AI governance, risk and control expectations into platform capability requirements (e.g., approvals, guardrails, lineage, auditability, evidence capture), with guidance from senior partners

• Contribute to defining non-functional requirements where needed (scalability, resilience, performance, security, access control, operational readiness)

• Maintain the APAC technical product backlog (e.g., writing/refining epics and stories); ensure requirements are clear and ready for engineering feasibility assessment, sequencing, and dependency mapping

• Support prioritization discussions by preparing inputs on business value, regulatory relevance, risk/control requirements, user impact, and technical feasibility for APAC CAO/CPO and intake forums

• Provide structured APAC inputs into global/regional platform roadmaps, helping balance regional needs with global strategy to avoid unnecessary fragmentation

• Track adoption/usage and delivery outcomes; help convert learnings into backlog improvements and product documentation updates

• Communicate status, priorities, and trade-offs to stakeholders; support the creation of product briefs and decision materials for governance and leadership forums

Required qualifications, capabilities, and skills

• Bachelor’s degree in Computer Science, Business, Mathematics, Artificial Intelligence, or related field

• 5+ years of experience in product management, technical program delivery, platform/product operations, data/AI platforms, enterprise technology products, or related roles

• Working understanding of data and AI platform capabilities (data management, analytics enablement, AI/ML enablement, governance, lineage, data quality, access controls/entitlements, adoption)

• Ability to translate business problems, regulatory requirements, and technical constraints into well-structured requirements, user journeys, and acceptance criteria (with support where needed)

• Technical fluency across data flows, APIs, platform concepts, integration patterns, and technical documentation; comfort discussing non-functional requirements with engineering partners

• Experience partnering with engineering teams to clarify requirements and support delivery, while maintaining focus on the “what/why/for whom”

• Sound judgment and ability to weigh trade-offs across value, urgency, feasibility, risk, and platform strategy with guidance from senior product leaders

• Experience in financial services or another regulated environment (preferred but not required if you demonstrate strong risk/control mindset)

• Strong stakeholder management and collaboration skills across product, engineering, risk, controls, and governance partners

• Strong written and verbal communication skills, including drafting product briefs, requirement documents, and prioritization recommendations

• Ability to work through ambiguity, structure problems, and drive alignment across regional and global stakeholders

Preferred qualifications, capabilities, and skills

• Exposure to enterprise data platforms, AI/ML platforms, cloud analytics platforms, data marketplaces, internal developer platforms, or internal user platforms

• Experience in a CDAO/data office, analytics/AI function, platform product organization, or enterprise transformation program

• Experience supporting platform adoption across multiple countries, Lines of Business, or regulated jurisdictions

• Familiarity with data governance, data quality, lineage/metadata, access management, and AI/model governance expectations

• Experience defining requirements for APIs, data products, workflow tools, self-service platforms, analytics capabilities, or AI/ML enablement platforms

• MBA, Master’s degree, or advanced technical/product qualification (a plus)

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=b2ef3b8bb386dac0b39f5d84a74d450e

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is pivotal in advancing the firm's data and analytics capabilities, ensuring strong adherence to data & AI risk & control while enabling the data & analytics strategy for superior decision-making and business outcomes to serve our clients and markets. By leveraging data & AI/ML, the CDAO develops innovative solutions to support commercial goals, enhance productivity, and manage risks. The Asia Pacific Chief Data & Analytics Office (CDAO) advances the firm’s data and analytics strategy, platforms, solutions, capabilities, and governance to deliver trustworthy, responsible, innovative, and commercially value outcomes across the APAC markets and businesses.

As a Data & AI Platform Product Manager - Vice President within the APAC Chief Analytics and Data Office, you will own the APAC technical product agenda for the firm’s Data & AI platform capabilities. You will translate APAC business, regulatory, and user needs into clear product requirements, prioritized backlog/roadmap inputs, and measurable adoption outcomes. You will partner closely with APAC and global stakeholders across Product, Engineering, Customer Success, Product Enablement, Business Adoption, Risk, Controls, Data/AI Governance, and Lines of Business to ensure platform capabilities are fit-for-purpose, production-ready, and scalable across APAC markets.

Job responsibilities

• Lead APAC technical product discovery with business sponsors, end users, client technology teams, Customer Success, and Business Adoption to identify high-impact Data & AI platform opportunities

• Develop a strong understanding of APAC workflows, user pain points, data flows, technical constraints, regulatory expectations, and adoption barriers across markets and Lines of Business

• Triage incoming demand to determine the right path (self-serve, product expertise, solution design, new feature development, or APAC-specific capability) and define clear problem statements and success criteria

• Define APAC-specific platform requirements across functional, data, integration, access/entitlements, controls, and user experience needs, including user journeys and acceptance criteria

• Translate data governance, AI governance, risk and control expectations into platform capability requirements (e.g., approvals, guardrails, lineage, auditability, evidence capture)

• Define non-functional requirements where needed (scalability, resilience, performance, security, access control, operational readiness)

• Own and maintain the APAC technical product backlog; ensure requirements are engineering-ready for feasibility assessment, sequencing, dependencies, and delivery planning

• Partner with APAC CAO/CPO and intake forums to prioritize work based on business value, regulatory relevance, risk/control requirements, user impact, and technical feasibility

• Provide structured APAC inputs into global/regional platform roadmaps, balancing regional needs with global strategy to avoid unnecessary fragmentation

• Define measurable outcomes and track success (adoption, usage, value realization, control adherence, production readiness, customer satisfaction), converting learnings into backlog improvements

• Communicate priorities, trade-offs, and roadmap implications to senior stakeholders; produce executive-ready product briefs and decision materials

Required qualifications, capabilities, and skills

• Bachelor’s degree in Computer Science, Business, Mathematics, Artificial Intelligence, or related field

• 8+ years of experience in technical/platform product management, data/AI platforms, enterprise technology products, or related roles

• Strong understanding of data and AI platform capabilities (data management, analytics enablement, AI/ML enablement, governance, lineage, data quality, access controls/entitlements, adoption)

• Demonstrated ability to translate business problems, regulatory requirements, and technical constraints into product requirements, user journeys, acceptance criteria, and roadmap priorities

• Strong technical fluency (data flows, APIs, platform architecture, cloud-based platforms, integration patterns, technical documentation, non-functional requirements)

• Experience partnering with engineering teams to shape platform capabilities while maintaining clear product ownership of the “what/why/for whom”

• Strong product judgment with ability to make trade-offs across value, urgency, feasibility, risk, and platform strategy

• Experience operating in financial services or another regulated environment

• Strong stakeholder management and influencing skills across senior business, product, engineering, risk, and governance partners

• Strong written and verbal communication skills, including creating product briefs, prioritization recommendations, and executive decision materials

• Ability to manage ambiguity, structure complex problems, and drive alignment across regional and global stakeholders

Preferred qualifications, capabilities, and skills

• Experience with enterprise data platforms, AI/ML platforms, cloud analytics platforms, data marketplaces, internal developer platforms, or internal user platforms

• Experience in a CDAO/data office, analytics/AI function, platform product organization, or enterprise transformation program

• Track record supporting platform adoption across multiple countries, Lines of Business, or regulated jurisdictions

• Familiarity with data governance, data quality, lineage/metadata, access management, and AI/model governance expectations

• Experience defining product requirements for APIs, data products, workflow tools, self-service platforms, analytics capabilities, or AI/ML enablement platforms

• MBA, Master’s degree, or advanced technical/product qualification

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=ffdea93a6c82f31cf13d8d19de51eaf1