What are the responsibilities and job description for the Global Index Research - Quantitative Analyst position at JPMorgan Chase?
Be part of J.P. Morgan’s Global Index Research Group, a market leader in fixed income indices, with over $1.5 trillion in assets tracking our products. Join us to innovate and deliver cutting-edge index and analytics solutions.
As a Quantitative Analyst in our Global Index Research Group, you will play a crucial role in developing and launching new index and analytics products. Collaborate with product experts, technology teams, and operations to enhance our data offerings and drive innovation in the market.
Job responsibilities:
- Participate in the design, implementation, and launch of index and analytics products, leading planning and testing of new features and calculations.
- Oversee complex analytics product build efforts, coordinating across multiple teams and geographies.
- Support system enhancements and workflow improvements, including detailed analysis and documentation.
- Engage with client teams on data offering enhancements and partner with the commercialization team to align strategy.
- Coordinate with firm-wide strategic programs, maintaining relationships and identifying synergies.
- Maintain a high-level view of organizational efforts while supporting hands-on work.
Required qualifications, capabilities, and skills:
- Bachelor's degree or equivalent in Financial Engineering, Economics/Finance, or related field; Master’s degree a plus.
- Proven experience in technical product delivery or technology in the financial domain.
- Technology or quantitative work experience in financial services.
- Experience with SQL and data manipulation techniques.
- Experience with Python; Athena experience a plus.
- Familiarity with market data and products; knowledge or experience in fixed income a plus.
- Superb organizational skills, decisive priority management, strong teamwork ethic, ability to think locally & execute globally.
- Strong communication skills (both written and verbal).
Preferred qualifications, capabilities, and skills:
- Master’s degree in a related field.
- Experience with advanced data analytics tools and platforms.
- Ability to innovate and drive solutions in a fast-paced environment.
