Quantitative Research - Chief Data Office Data Product Owner – Vice President

Location: LONDON, United Kingdom

Job Family: Data Management

About the Role

Join JPMorgan Chase & Co., a leading global financial services firm with over $3.7 trillion in assets under management, as a Quantitative Research - Chief Data Office Data Product Owner – Vice President in our London office. This pivotal role within the Chief Data Office offers a unique opportunity to shape data strategies that power cutting-edge quantitative research across investment banking, asset management, and commercial banking divisions. As a Vice President, you will drive the development of innovative data products that enable advanced analytics, risk modeling, and algorithmic trading, ensuring our quantitative teams have access to high-quality, compliant data in a rapidly evolving regulatory landscape. Reporting to senior leadership in the Chief Data Office, you will bridge the gap between technical data infrastructure and business needs, fostering a culture of data excellence at one of the world's most respected financial institutions. In this role, you will lead the end-to-end lifecycle of data products tailored for quantitative research, from ideation and prioritization to deployment and optimization. Collaborating with cross-functional teams including data scientists, engineers, and traders, you will translate complex financial requirements into actionable product roadmaps that support real-time decision-making in global markets. Key challenges include navigating stringent regulations like GDPR and Dodd-Frank while leveraging technologies such as machine learning and cloud platforms to deliver scalable solutions. Your contributions will directly impact JPMorgan Chase's ability to innovate in areas like derivatives pricing, portfolio optimization, and ESG analytics, positioning the firm at the forefront of fintech advancements. We seek a strategic thinker with a passion for data and finance, capable of thriving in a dynamic, high-stakes environment. At JPMorgan Chase, you will benefit from unparalleled resources, including access to proprietary datasets and world-class mentorship, while enjoying a collaborative culture that values diversity and inclusion. This position not only offers professional growth but also the chance to contribute to initiatives that shape the future of global finance, all from our state-of-the-art London hub.

Key Responsibilities

• Define and own the product vision and roadmap for data products supporting Quantitative Research within JP Morgan Chase's Chief Data Office
• Collaborate with quantitative researchers, data engineers, and stakeholders to identify data needs and develop scalable data solutions for financial modeling
• Ensure data products comply with internal governance standards and external regulations, mitigating risks in high-stakes trading and risk environments
• Lead agile ceremonies, prioritize backlogs, and drive delivery of data features that enhance analytical capabilities in asset management and investment banking
• Monitor product performance using KPIs such as data accuracy, latency, and usability, iterating based on feedback from end-users in Quantitative Research
• Foster partnerships across JP Morgan's global teams to integrate data products into broader firm-wide initiatives, including AI and machine learning applications
• Conduct market analysis of emerging data technologies and recommend innovations to maintain competitive edge in financial services
• Manage vendor relationships and evaluate third-party data tools to support quantitative research workflows
• Provide thought leadership on data strategy, presenting insights to senior leadership on how data products drive business value
• Oversee documentation, training, and adoption of data products to ensure seamless integration into daily operations

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Finance, Mathematics, or a related quantitative field; advanced degree (Master's or PhD) strongly preferred
• Minimum of 7-10 years of experience in data management, product ownership, or quantitative research within the financial services industry
• Proven track record as a Data Product Owner or similar role in a large-scale financial institution, with expertise in data governance and product lifecycle management
• Deep understanding of regulatory requirements such as GDPR, Basel III, and MiFID II, particularly in the context of banking data products
• Experience leading cross-functional teams in agile environments, with a focus on data-driven decision-making in quantitative research
• Strong knowledge of data modeling, ETL processes, and big data technologies in a financial context
• Certification in data management (e.g., CDMP) or product ownership (e.g., CSPO) is required

Preferred Qualifications

• Experience working at a global investment bank like JP Morgan Chase, with exposure to Chief Data Office functions
• Background in quantitative finance or risk management, including familiarity with derivatives pricing or portfolio optimization
• Proficiency in cloud-based data platforms such as AWS or Azure, tailored to financial data security standards
• Prior involvement in AI/ML-driven data products for quantitative research applications
• MBA or equivalent business qualification with a focus on fintech or data analytics

Required Skills

• Expertise in data product management and ownership in financial contexts
• Proficiency in SQL, Python, or R for data querying and analysis
• Strong understanding of big data tools like Hadoop, Spark, or Kafka
• Knowledge of financial data standards (e.g., FIX, ISO 20022) and quantitative modeling techniques
• Agile/Scrum methodologies and tools like Jira or Confluence
• Excellent communication and stakeholder management skills
• Analytical mindset with experience in A/B testing and metrics-driven product decisions
• Familiarity with cloud computing (AWS, GCP) and data security protocols
• Leadership and team collaboration abilities in multicultural environments
• Problem-solving skills for complex data challenges in high-pressure financial settings
• Regulatory compliance knowledge specific to banking and capital markets
• Project management expertise using frameworks like SAFe or PMP
• Technical writing for data documentation and reporting
• Adaptability to fast-paced, innovative tech in fintech
• Strategic thinking for aligning data products with business objectives

Benefits

• Competitive base salary and performance-based annual bonus, reflective of JP Morgan Chase's commitment to rewarding excellence
• Comprehensive health, dental, and vision insurance coverage for employees and eligible dependents
• Generous 401(k) matching program with immediate vesting to support long-term financial security
• Paid time off including vacation, sick days, and parental leave, plus firm holidays
• Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
• Employee wellness programs, including gym memberships and mental health resources
• Global mobility support for career advancement across JP Morgan Chase's international offices
• Stock purchase plan allowing participation in firm equity at discounted rates

JP Morgan Chase is an equal opportunity employer.