Quantitative Research - Cash Equities - Associate

JPMorgan Chase & Co.•New York, NY

33d

About The Position

Are you ready to make an impact in the world of equities trading? As a Quantitative Researcher, you will drive innovation and optimize trading processes through advanced data analytics and modeling. Join our global team and leverage your skills to shape the future of financial markets. Job Summary: As an Analyst in the Quantitative Research Cash Equities team, you will focus on flow analytics, portfolio construction, risk attribution, and systematic trading. You will drive the research agenda for one of central risk book, program trading, or high touch trading, using data analytics and programming to drive business transformation. Your role will involve developing models, collaborating with trading desks, and implementing trading strategies. We offer comprehensive training and growth opportunities to enhance your skills and advance your career. Our diverse team supports a wide range of business functions, providing a unique environment for professional development. We are committed to accommodating diverse needs and fostering an inclusive workplace.

Requirements

Demonstrate a strong quantitative background and practical problem-solving skills.
Apply direct working knowledge of portfolio construction and risk models in portfolio management or equities trading, specifically in equities.
Collaborate closely with trading desks, understand their business, and take ownership to positively impact their operations.
Exhibit proficiency in code design and programming skills, with a primary focus on Python, KDB, C++, or Java in a commercial environment.
Utilize practical data analytics skills on real data sets gained through hands-on experience, and handle and analyze complex, large-scale, high-dimensionality data from various sources.
Grasp business concepts outside your immediate area of expertise and adapt to rapidly changing business needs.
Think strategically and creatively when faced with problems and opportunities, consistently seeking new ways of doing things.
Leverage excellent communication skills, both verbal and written, to engage and influence partners and stakeholders.

Nice To Haves

Strong graduate degree (MS or PhD) in a quantitative field (Computer Science, Mathematics, Physics, Statistics, Economics)
Strong expertise in statistics and machine learning in financial industry.
Robust testing and verification practice.
Direct Experience with electronic trading, and knowledge of trading algorithms.
Experience in finance: electronic trading, portfolio analytics (risk modelling, portfolio optimization, synthetic trading, ETF trading), trading strategies (high to low frequency: market making, statistical arbitrage, option trading…), or derivatives pricing and risk management.
Knowledge of equity product is a plus, but not strict requirement.

Responsibilities

Work closely with trading to build analytics and data-driven processes that automate and optimize trading quantitatively.
Contribute from idea generation to production implementation: perform research, design prototype, implement analytics and trading strategies, support their daily usage, and analyze their performances.
Develop models for market making taking into consideration fundamental and quantitative features, and historic behavior using statistics, machine learning or heuristics.
Work with the business to recycle risk, construct portfolio, and devise execution and hedging strategies accordingly.
Collaborate broadly with QR teams across regions to build reusable libraries and tools to advance the research and development plan.