Join JPMorgan Corporate Investment Bank''s industry-leading data analytics team, where you''ll combine cutting-edge machine learning techniques with unique data assets to optimize business decisions. As an Applied AI and Machine Learning Associate, you''ll advance financial applications from business intelligence to predictive models and automated decision-making, working closely with Digital and Platform Services Operations. As an Applied AI ML Senior Associate in the Commercial and Investment Bank, you will apply data analytics techniques from traditional statistics and machine learning to various datasets, aiming to answer questions relevant to Operations. Collaborate with Digital and Platform Services Operations teams and other stakeholders to support the Corporate and Investment Bank and its partners.

Responsibilities

Research and develop innovative ML-based solutions to address Operations'' most challenging problems.

Build robust Data Science capabilities scalable across multiple business use cases.

Collaborate with the software engineering team to design and deploy Machine Learning services integrated with strategic systems.

Research and analyze datasets using a variety of statistical and machine learning techniques.

Communicate AI capabilities and results to both technical and non-technical audiences.

Document approaches, techniques, and processes followed.

Qualifications

Master''s or PhD degree in a quantitative or computational discipline.

Hands-on experience developing and deploying Data Science and ML capabilities in production at scale.

Strong Python development and debugging skills.

Ability to work both individually and collaboratively with others.

Curiosity, attention to detail, and interest in complex analytical problems.

Results-driven mindset and client focus.

Ability to work in agile cross-functional teams.

Experience with Natural Language Processing (NLP).

Ability to design intrinsic and extrinsic evaluations of a model''s performance aligned with business goals.

Ability to work with non-specialists in a partnership model, conveying information clearly and creating trust with stakeholders.

Experience with machine learning frameworks (e.g., PyTorch, TensorFlow), data science packages (e.g., Scikit-Learn, NumPy, SciPy, Pandas, statsmodels) and GenAI toolkit.

Experience in ML Ops.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world''s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. J.P. Morgan''s Commercial and Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial and Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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