Quantitative Trading & Research - FX Quantitative Trading - Associate

JPMorgan Chase & Co.; New York (NY); On-site; USD 140,000 - 190,000; Full time

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

The FX Quantitative Trading team in New York is a dynamic team who are responsible for the coordination with the larger team to determine the desk's profitability. This team covers a wide range of responsibilities, including designing, trading and execution strategies.

Job summary:

As a Analyst or Associate within 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, these include designing trading and execution strategies; researching micro-patterns and trends; building, maintaining and upgrading applications & tools; supporting day-to-day operation.

Job 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

Required qualifications, capabilities, and skills:

• 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.

Preferred qualifications, capabilities, and skills:

• 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