Company Name:-
JPMorgan Chase Bank, N.A.

Job Location:-
Mumbai, Maharashtra

Job Summary:-
Quantitative Research – eTrading – Associate
About Quantitative Research
Quantitative Research (QR) is an expert quantitative modeling group in J.

P.

Morgan, as well as a leader in financial engineering, data analytics, statistical modeling and portfolio management.

As a global team, QR partners with traders, marketers and risk managers across all products and regions, contributes to sales and client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and appropriate financial risk controls.

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, we are providing on 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
You will contribute to the firm’s product innovation and effective risk management.

Specially, 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 tr

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