Quantitative Trading & Research - FX Quantitative Trading - Associate

JPMorgan Chase & Co.•New York, NY

5h•$150,000 - $200,000•Onsite

About The Position

As an Analyst or Associate within the Quantitative Trading & Research (QTR) FX Quantitative Trading team, you will work as part of the QTR front-office team on the trading floor in New York. Given the dynamic nature of the environment, this role is tailored for an individual who is responsible, independent, and able to work in smooth coordination with the larger team to determine the desk's profitability. You will get a chance to cover a wide range of responsibilities, including designing trading and execution strategies; researching micro-patterns and trends; building, maintaining, and upgrading applications & tools; and supporting day-to-day operations.

Requirements

Demonstrate an interest in market microstructures and quantitative trading.
Demonstrate design and programming skills, with a primary focus on object-oriented programming languages (C++, Java, C#, etc.) and Python.
Show an interest in applying agile development practices in a front-office trading environment.
Exhibit excellent verbal and written communication skills, as this position involves frequent interaction with different teams in the firm and many non-technical users.
Think strategically and creatively when faced with problems and opportunities. Eagerly look for new ways of doing things and understand the benefits of leveraging the firm’s scale.
Demonstrate understanding in different types of risk and discuss in detail ways of managing these risks.
Communicate concepts and ideas, both verbally and via documentation, and defend their validity while targeting messages to different audiences.

Nice To Haves

Degree in Engineering, Mathematics, Physics, Computer Science (or equivalent)
Direct experience of agile software methodologies.
Demonstrate macro markets experience and general trading concepts and terminology
Demonstrate experience of working with electronic venues

Responsibilities

Create/modify/implement algorithmic orders to execute on behalf of clients as well as internal manual traders
Work closely with technology to develop cutting edge low latency infrastructure that meets business needs in a scalable manner
Intelligently utilize internal and non-public sources of liquidity to minimize the impact of algorithmic order execution
Create generic and bespoke post-trade transaction cost analysis models and reports for evaluation algorithmic order executions
Create pre-trade transaction cost analysis to help clients choose algorithmic orders for appropriate execution
Perform statistical analysis of algorithmic order execution for internal use and to drive iterative improvements
Understands firm's approach and policies for managing risks in relevant business and applicable legal and regulatory rules, and follows policies