Algorithmic Trading & Research Associate

J.P. Morgan; New York (NY); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Competitive compensation

Discretionary incentive compensation

Health care coverage

Retirement savings plan

Job summary

JPMorgan Chase & Co. in New York invites a Quantitative Researcher to design and implement execution algorithms, integrating quantitative research, data analytics, and client solutions across eTrading.

You will apply portfolio optimization to improve trade scheduling for single stocks and portfolios within the algo engine. Collaborate with QTR researchers, the algo development team, and product teams to guide the platform's direction and deliver global trading solutions for clients.

Qualifications

• Masters in STEM such as computer science, engineering, math/statistics or physics.
• Experience with optimization techniques relevant to trading strategies.
• Experience coding in Python, Java or C++ and working on algorithmic trading platforms.
• Strong analytical, quantitative and problem-solving skills.
• Strong written and verbal communication with business and tech teams.

Responsibilities

• Solve and implement numerical algorithms for trade scheduling optimization.
• Build robust production algorithms within the algo trading engine.
• Support diagnosis of trading decisions using models and statistics.
• Validate production implementations against original research specs.
• Collaborate with quant researchers and trading desks to refine models.
• Work with product teams to design client-centric solutions.

Skills

Optimization techniques

Strong analytical skills

Quantitative reasoning

Communication skills

Team collaboration

Education

Master's in STEM

PhD in STEM (preferred)

Tools

Python

Java

C++

Job description

JPMorgan Chase & Co. in New York invites a Quantitative Researcher to design and implement execution algorithms, integrating quantitative research, data analytics, and client solutions across eTrading.

You will apply portfolio optimization to improve trade scheduling for single stocks and portfolios within the algo engine. Collaborate with QTR researchers, the algo development team, and product teams to guide the platform's direction and deliver global trading solutions for clients.