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JP Morgan Chase

Runs a consumer bank and an investment bank

Applied AI/ML Senior Associate

Applied Machine LearningConfirmed live in the last 24 hours
Full-time$118.8k - $195kIn-person

About the Job

Requirements

  • A Master's degree in a quantitative discipline such as Computer Science, Data Science, Mathematics/Statistics, or Operations Research, and at least 3 years of industry experience.
  • Experience with shell scripting, Jupyter Notebook or JupyterLab, SQL, PySpark, and AWS Cloud Services.
  • Proficiency in Python and hands-on experience with machine learning and deep learning frameworks such as TensorFlow and PyTorch, and libraries such as NumPy, Scikit-learn, and Pandas.
  • Extensive knowledge of designing and developing agentic systems and tooling such as LangChain, LangGraph, Model Context Protocol, and DSPy.
  • Solid understanding of machine learning, artificial intelligence, and neural network algorithms, including large language models and generative AI, and familiarity with current practices and advancements in these domains.
  • Ability to set analytical direction for projects and transform vague business questions into structured analytical plans.
  • Extensive experience in natural language processing or large language models, or computer vision and other machine learning techniques, including classification and regression algorithms.

Responsibilities

  • Collaborate with Product, Technology, and cross-functional teams to understand complex business problems and formulate data-driven solutions in payments.
  • Design, develop, and deploy agentic systems using large language models, machine learning, and other AI solutions that meet business-aligned success metrics while considering model complexity, scalability, and latency.
  • Partner with Risk and Compliance teams to document models, track performance metrics, and maintain regulatory compliance.
  • Translate model outcomes into business impact metrics and communicate complex concepts to senior management and stakeholders.

Desired Qualifications

  • Experience in the financial services industry, particularly investment banking operations.
  • Experience with cloud computing technologies including Amazon Web Services, Azure, Docker, Kubernetes, Databricks, and Snowflake.
  • Familiarity with inference-time algorithms such as chain of thought and sampling.

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1799

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