Asset Management - Equity Data Scientist - Associate at JPMC Candidate Experience page

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Jun, 26

Salary

224000.0

Posted On

16 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Python, Feature Engineering, Cross-Validation, Hyperparameter Tuning, Model Evaluation, NLP, LLM, Portfolio Backtesting, Quantitative Research, Return Forecasting, Alpha Signals, Risk Insights, Communication, Dashboard Creation

Industry

Financial Services

Description

Role Overview 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. Job 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. Required qualifications, capabilities and skills: * 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. Preferred qualifications, capabilities and skills: * 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 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. 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. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

Responsibilities

The role involves preparing and engineering features from financial data, and developing/testing machine learning models for return forecasting, alpha signals, and risk insights. Responsibilities also include running portfolio backtests, building NLP/LLM pipelines, and creating reports to communicate findings to stakeholders.