Asset Management - Equity Data Scientist - Associate

JPMorgan Chase & Co. • New York, NY

3d

About The Position

The U.S. Disciplined Core Equity group within J.P. Morgan Asset Management is
seeking a Data Scientist to support AI/ML projects that power our quantitative
equity investment strategies. Our team manages approximately $100 billion in
U.S. equities, combining advanced quantitative research with fundamental
insights of portfolio managers. This role is ideal for candidates early in their
careers who are passionate about data science, machine learning, and equity
markets, and who want hands-on experience building models and pipelines that
inform real investment decisions.

Requirements

• 0+ years of experience in data science or quantitative research.
• Advanced degree (Master’s or PhD)
• Proficiency in Python.
• Hands‑on experience with ML workflows: feature engineering, cross‑validation, hyperparameter tuning, and model evaluation.
• Clear communication skills, both verbal and written, with the ability to present complex ideas to both technical and non-technical audiences.
• Ability to manage multiple projects and deliver results in a fast-paced environment.

Nice To Haves

• Advanced Degree in data science, computer science, financial engineering, mathematics, statistics, or other quantitative/technical disciplines is preferred.
• Exposure to quantitative equity research, return prediction, or risk modeling is a plus.
• Experience with NLP/LLM methods (text preprocessing, embeddings, transformers) is a plus

Responsibilities

• Prepare, clean, and engineer features from structured and unstructured financial data.
• Develop and test regression or machine learning models for return forecasting, alpha signals and risk insights under the guidance of senior researchers.
• Run portfolio backtests and analyze performance ; test new portfolio construction techniques.
• Build NLP/LLM pipelines for text data and extract signals.
• Collaborate with technology partners to help integrate research models into production.
• Create dashboards and reports to communicate model exposures, performance, and risk to portfolio managers and stakeholders.

Benefits

• We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.
• Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
• We also offer a range of benefits and programs to meet employee needs, based on eligibility.
• These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
• Additional details about total compensation and benefits will be provided during the hiring process.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees