Applied AIML Data Scientist - Senior Associate
Company: JPMorgan Chase & Co.
Location: Jersey City
Posted on: April 1, 2026
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Job Description:
Description The Risk Management & Compliance Technology Machine
Learning team at JPMorgan Chase focuses on solving challenging
business problems such as Anti-Money Laundering and Surveillance
through data science and machine learning techniques across Risk,
Compliance, Conduct and Operational Risk.As an Applied AI ML Senior
Associate on the team, you will have the opportunity to study
complex business problems and apply advanced algorithms to develop,
test, and evaluate AI/ML applications or models for those problems.
You will work with the firm’s rich data pool from both internal and
external sources using Python/Spark via AWS and other systems. You
are also expected to derive business insights from technical
results and be able to present them to non-technical audience. Job
responsibilities Proactively develop understanding of key business
problems and processes Execute tasks throughout a model development
process including data wrangling/analysis, model training, testing,
and selection. Generate structured and meaningful insights from
data analysis and modelling exercise and present them in
appropriate format according to the audience. Collaborate with
other data scientists and machine learning engineers to deployment
machine learning solutions. Carry out ad-hoc and periodic analysis
as required by the business stakeholder, model risk function, and
other groups. Required qualifications, capabilities, and skills At
least 2 years of relevant experience post Advanced degree (MS, PHD)
in a quantitative field (e.g., Data Science, Computer Science,
Applied Mathematics, Statistics, and Econometrics) Practical
expertise and work experience with ML projects, both supervised and
unsupervised. Proficient programming skills with Python, R, or
other equivalent languages, Demonstrated experience working with
large and complicated datasets. Experience with broad range of
analytical toolkits, such as SQL, Spark, Scikit-Learn, and XGBoost.
Excellent problem solving, communication (verbal and written), and
teamwork skills; Preferred qualifications, capabilities, and skills
Experience with graph analytics and neural network (Tensorflow,
Keras). Experience working with engineering teams to operationalize
machine learning models. Familiarity with the financial services
industry.
Keywords: JPMorgan Chase & Co., Jersey City , Applied AIML Data Scientist - Senior Associate, Science, Research & Development , Jersey City, New Jersey
