FX Quantitative Trading & Research: Front‑Office Strategist

JPMorgan Chase & Co.

New York (NY)

On-site

USD 140,000 - 190,000

Full time

14 days+
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Job summary

JPMorgan Chase & Co. in New York seeks an Analyst/Associate for the Quantitative Trading & Research FX Quantitative Trading team.

You will work on front-office trading floor to design trading and execution strategies, research micro-patterns and trends, and build, maintain and upgrade applications and tools. Responsibilities include developing algorithmic orders, collaborating on low-latency infrastructure, and performing pre- and post-trade analysis to optimize profitability while managing risk

Qualifications

  • Degree in Engineering, Mathematics, Physics or Computer Science.
  • Strong programming skills in OO languages (C++, Java, C#, Python).
  • Interest in market microstructures and quantitative trading.

Responsibilities

  • Create/modify/implement algorithmic orders for clients and internal traders.
  • Collaborate with technology to build low-latency infra for trading needs.
  • Utilize internal and non-public liquidity sources to minimize impact of execution.
  • Develop post-trade analysis models and reports for algorithmic trades.
  • Create pre-trade analysis to help clients select orders for execution.
  • Perform statistical analysis of order executions for improvements.
  • Understand and follow firm risk policies and regulatory guidelines.

Skills

Object-oriented programming
Python
C++
Java
C#
Market microstructures
Communication skills
Agile practices

Education

Engineering
Mathematics
Physics
Computer Science

Tools

C++
Java
C#
Python

Job description

JPMorgan Chase & Co. in New York seeks an Analyst/Associate for the Quantitative Trading & Research FX Quantitative Trading team.

You will work on front-office trading floor to design trading and execution strategies, research micro-patterns and trends, and build, maintain and upgrade applications and tools. Responsibilities include developing algorithmic orders, collaborating on low-latency infrastructure, and performing pre- and post-trade analysis to optimize profitability while managing risk

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