Quantitative Data Scientist - Global Markets — J.P. Morgan

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Data Science · Verified Opening #4

Quantitative Data Scientist - Global Markets

business J.P. Morgan location_on New York, NY (Hybrid) apartment Hybrid Full Time

Compensation

$175K – 240K/yr

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Published Date

2 weeks ago

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Work Arrangement

Hybrid • New York, NY

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Open Positions

4 openings

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Experience Level

Senior

overview Role Overview

About the opportunity

Engineer high-throughput statistical arbitrage, risk modeling, and liquidity forecasting algorithms in institutional trading.

Join J.P. Morgan's Quantitative Research and Data Science division in Manhattan. You will develop quantitative models that forecast price trajectories, estimate liquidity dynamics, and automate risk attribution across fixed income, equities, and FX markets. You will deploy models in real-time execution environments adhering to stringent Wall Street regulatory standards.

task Core Responsibilities

What you will do

check_circle Construct time-series predictive models and volatility estimators leveraging tick-by-tick order book data.
check_circle Build backtesting simulations and risk analytics accounting for slippage, market impact, and transaction costs.
check_circle Collaborate with trading desks and risk managers to formulate systematic algorithmic execution strategies.
check_circle Ensure all quantitative models pass rigorous Model Risk Governance (SR 11-7) compliance requirements.

verified_user Candidate Profile

What we are looking for

arrow_circle_right Degree in Financial Engineering, Mathematics, Physics, or Computational Finance.
arrow_circle_right 4+ years experience in quantitative research, financial data science, or statistical trading.
arrow_circle_right Mastery of Python (NumPy, SciPy, pandas), C++, and time-series econometrics.
arrow_circle_right Thorough understanding of derivative pricing, stochastic calculus, and market microstructure.

code_blocks Technologies & Competencies

Skills & Tech Stack

Quantitative Finance Python Time Series C++ Risk Analytics Econometrics

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Why candidate applications stand out

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Verified Technical Credentials

Applications include direct proof-of-work repositories and instructor verification endorsements.

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Direct internal referral channels through enterprise partners bypass automated resume discard filters.

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Submit your résumé (PDF, DOC or DOCX up to 5 MB) for direct consideration by the J.P. Morgan hiring team.

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Cover Note

J.P. Morgan

New York, NY (Hybrid)

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