Description

Opportunity

Quantitative Research eTrading is an expert quantitative modeling group in J.P. Morgan, an unchallenged leader in financial engineering, statistical modeling and market microstructure research. With more than 20 researchers worldwide, the team partners with sales and marketing, product and technology teams across all regions.

 

In addition, Quantitative Research provides on the job training, intensive internal classroom training, and online courses, all given by our experienced quants. Through the diversity of the businesses it supports and the variety of functions that it is responsible for, Quantitative Research group provides unique growth opportunities for you to develop your abilities and your career. 

 

We make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental and physical health needs or particular family considerations.

 

If you are passionate, curious and ready to make an impact, we are looking for you.

 

Your Impact

As part of the eTrading team, you’ll have the chance to:

Develop mathematical models for algorithmic execution strategies, both for single stock and portfolios Carry out market microstructure research and write white papers Design state-of-the-art models for limit order placement, and order routing between venues Develop quantitative tools to analyze order flow and suggest methods for improving execution performance

 

About You

You should have prior experience in one or more of the following: Handling high frequency data/big data and developing statistical and/or machine learning models on the same Pre/post trade analytics (including market microstructure research) for execution algorithms Short term price predictive, alpha and portfolio optimization models You demonstrate quantitative and problem-solving skills as well as research skills You are keen to explore new research in algorithmic trading and assess its applicability to business problems You bring computer programming experience such as use of Python and/or C++ in a substantial project in an academic/commercial environment You’re enthusiastic about knowledge sharing and collaboration Your excellent communication skills, both verbal and written, can engage and influence partners and stakeholders

Desirables

Prior experience in q/kdb Orientation towards careful system and solution design and implementation Robust testing and verification practices

Beyond that, we’re interested in the things that make you unique: personal qualities, outside interests and achievements beyond academia and profession that demonstrate the kind of person you are and the differences you could bring to the team.