Risk Management - Data Scientist Associate
Company: JPMorganChase
Location: Jersey City
Posted on: April 1, 2026
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Job Description:
Description Job summary Bring your expertise to JPMorgan Chase.
As part of Risk Management and Compliance, you are at the center of
keeping JPMorgan Chase strong and resilient. You help the firm grow
its business in a responsible way by anticipating new and emerging
risks, and using your expert judgement to solve real-world
challenges that impact our company, customers and communities. Our
culture in Risk Management and Compliance is all about challenging
the status quo and striving to be best in class. As a Data
Scientist Associate in our Data Science team, you will explore,
pilot, and implement transformative AI solutions—including GenAI—in
collaboration with Product, Engineering, and Lines of Business. In
this pivotal role, you’ll join a team that values experimentation,
delivery, and continuous learning, where your ideas are encouraged
and operational excellence is a shared goal. You will leverage your
expertise in data and advanced analytics to develop robust tools
and solutions using the latest AI/ML techniques, cloud
technologies, data mesh architectures, and enterprise knowledge
bases. Together, we design scalable, high-quality internal
solutions that integrate seamlessly into business operations,
driving adoption and effective model management. By collaborating
with business units, technology partners, and stakeholders, we
enable our AI/ML solutions to deliver real business value and
become embedded into our workflows for lasting impact. Job
responsibilities Apply AI/ML techniques—including LLMs, Generative
AI, NLP, and coding assistants—to solve business problems and
enhance product capabilities. Collaborate with product, business,
and cross-functional teams to define project goals, requirements,
and plans, participating in stakeholder-facing communications as
needed and assist in designing experiments, implementing
algorithms, validating results, and productionizing trustworthy,
explainable AI/ML solutions. Deliver projects using Agile/sprint
methodologies, translating business requirements into technical
specifications, and supporting milestone achievement. Write secure,
high-quality production code, review and debug code, and contribute
to documentation of code repositories and technical challenges.
Integrate advanced analytics models and applications into
operational workflows to facilitate business value and adoption.
Implement robust drift monitoring and model retraining processes to
maintain accuracy and performance (ongoing performance monitoring).
Required qualifications, capabilities and skills Bachelor’s or
Master’s degree in engineering, computer science, statistics,
mathematics or a related technical or quantitative field, with a
minimum 3 years of relevant work experience. Proven track record of
deploying, AI, ML, and advanced analytics models in a large-scale
enterprise environment. Hands-on experience with AI/ML algorithms,
statistical modeling, and scalable data processing pipelines.
Proficiency with machine learning frameworks such as Tensorflow,
Pytorch, Scikit-Learn, and agentic workflows and frameworks such as
LangChain, LangGraph, and Auto-GPT. Strong written and verbal
communication skills, with the ability to convey technical concepts
and results to both technical and business audiences. Scientific
mindset with a proven ability to innovate and work both
independently and collaboratively within a team. Ability to thrive
in a matrixed environment and build effective partnerships with
colleagues at various levels and across multiple locations.
Keywords: JPMorganChase, Bayonne , Risk Management - Data Scientist Associate, IT / Software / Systems , Jersey City, New Jersey
