Senior Associate -Applied AI Data Scientist

Jersey City, NJ, US • Posted 12 hours ago • Updated 12 hours ago
Full Time
On-site
USD $104,500.00 - 150,000.00 per year
Fitment

Dice Job Match Score™

🔗 Matching skills to job...

Job Details

Skills

  • Artificial Intelligence
  • Forecasting
  • Decision Support
  • Data Science
  • Large Language Models (LLMs)
  • Reasoning
  • Microservices
  • Testing
  • Vector Databases
  • Use Cases
  • Machine Learning Operations (ML Ops)
  • Continuous Integration
  • Continuous Delivery
  • Incident Management
  • Machine Learning (ML)
  • Python
  • SQL
  • Prompt Engineering
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud Platform
  • Google Cloud
  • Stacks Blockchain
  • Databricks
  • Snow Flake Schema
  • Orchestration
  • LangChain
  • LlamaIndex
  • GraphQL
  • API
  • Analytics
  • Statistics
  • Communication
  • Stakeholder Management
  • PySpark
  • Privacy
  • Risk Management
  • A/B Testing
  • Business Intelligence
  • Reporting
  • Tableau
  • Evaluation
  • Workflow
  • Investment Banking
  • Corporate Banking
  • Health Care
  • Backup
  • Finance
  • Coaching
  • Recruiting
  • SAP BASIS
  • Law
  • Investment Management
  • Banking
  • Asset Management
  • Spectrum
  • Network
  • Wealth Management
  • FOCUS

Summary

Job Description

About the role JPMorgan Chase's Asset & Wealth Management Finance organization is building the next generation of agentic AI solutions that act as "digital workers" for forecasting, analytics, and decision support.

As a Senior Data Science Associate, you will design, deploy, and scale large language model (LLM) agents that turn complex finance questions into trusted, actionable insights.

Job responsibilities
  • Build production LLM agents for finance workflows using techniques such as retrieval-augmented generation (RAG), tool use, and multi-step reasoning.
  • Develop robust data and inference pipelines in Python and SQL; integrate agents with APIs, microservices, and BI applications.
  • Implement evaluation frameworks and guardrails: offline and online tests, automatic metrics (factuality, grounding, hallucination rate), human-in-the-loop reviews, red-team testing, and observability.
  • Optimize for scale, latency, and cost across cloud environments; leverage vector databases and embeddings for efficient retrieval.
  • Partner with Finance, Product, and Engineering to identify high-value use cases; translate ambiguous problems into measurable outcomes.
  • Apply solid ML engineering and MLOps practices (versioning, CI/CD, model registry, monitoring, incident response).
  • Document systems, deliver enablement materials, and upskill partners; contribute to standards for privacy, security, and model risk governance.

Required qualifications, capabilities and skills
  • 6+ years in data/ML roles, including 3+ years building and operating production ML applications; hands-on experience with LLMs.
  • Strong Python and SQL.
  • Practical knowledge of RAG, prompt engineering, fine-tuning, function/tool calling, and vector stores.
  • Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud Platform) and modern data stacks (e.g., Databricks or Snowflake).
  • Familiarity with LLM frameworks and orchestration (e.g., LangChain or LlamaIndex) and REST/GraphQL API design.
  • Proficiency in analytics and applied statistics; ability to design experiments and evaluate business impact.
  • Excellent communication and stakeholder management; comfort working across Finance, Technology, and Operations.

Preferred qualifications, capabilities and skills
  • Experience building multi-agent systems, autonomous workflows, or task planners.
  • Eexperience with PySpark or distributed compute.
  • Knowledge of model safety, bias, and privacy techniques; experience with model risk management and governance.
  • Exposure to observability tools (logging, tracing, telemetry) and A/B testing.
  • Background integrating agents with BI/reporting and workflow tools; familiarity with Tableau or similar is a plus.
  • Experience with GPaccelerators, containerization, and infrastructure-as-code.

What success looks like
  • 90 days: deliver a pilot finance agent with RAG and evaluation metrics, integrated with key data sources and APIs.
  • 6 months: scale agents across multiple workflows, establish guardrails and monitoring, and demonstrate clear improvements in cycle time, accuracy, or user satisfaction.

About Us

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 for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About the Team

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10125746
  • Position Id: b570871893ec83d005466c28da38229e
  • Posted 12 hours ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Jersey City, New Jersey

Today

Full-time

USD 128,250.00 - 195,000.00 per year

Jersey City, New Jersey

Today

Full-time

USD 164,350.00 - 260,000.00 per year

New York, New York

Today

Full-time

USD 128,250.00 - 195,000.00 per year

New York, New York

Today

Full-time

USD 128,250.00 - 195,000.00 per year

Search all similar jobs