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2026 Machine Learning Center of Excellence Summer Associate – Time Series & Reinforcement Learning Internship – (6 months)

2026 Machine Learning Center of Excellence Summer Associate – Time Series & Reinforcement Learning Internship – (6 months)

JPMorganChaseHong Kong, Hong Kong
4 天前
职位描述

Description

The Machine Learning Center of Excellence (MLCOE) is a world-class machine learning team which continually advances state-of-the-art methods to solve a wide range of real-world financial problems using the companys vast and unique datasets.

As a 2026 Machine Learning Center of Excellence Summer Associate within our dynamic team you will be given the chance to utilize advanced machine learning techniques across a range of intricate domains such as finance banking economics marketing natural language processing reinforcement learning accounting operations management

Job responsibilities :

  • Create strategically important AI / ML application in the Chief Data & Analytics office. Our work spans across all of J.P. Morgans lines of business including Commercial & Investment Bank Asset Wealth Management Consumer & Community Banking and through every part of the organization from front office sales and trading to operations technology finance and more.
  • Embrace opportunity to explore novel and complex challenges that could profoundly transform how the firm operates.
  • Collaborate closely with our MLCOE mentors business professionals and technologists carrying out independent research and providing solutions to the business.
  • Demonstrate deep passion for machine learning robust expertise in deep learning with practical implementation experience and a dedication to learning researching and experimenting with innovations in the field.

Required qualifications capabilities and skills

  • Enrolled in or completed a PhD in a quantitative discipline e.g. Computer Science Electrical Engineering Mathematics Operations Research Optimization Data Science or related fields or equivalent research or industry experience. We especially welcome post-doctoral students or people interested in a change of career as well.
  • Strong background in Programming Mathematics and Statistics.
  • Published research in areas of machine learning science engineering quantitative psychology or business related areas.
  • Expected PhD graduation date of December 2026 through August 2027 or already graduated .
  • Familiarity with state-of-the-art practice in these domains or knowledge such as Fina nce Economics Accounting Marketing Operation Research.
  • Good background in various fields of mathematics and statistics such as Stochastic Calculus Bayesian techniques Statistics State-Space models MCMC MCTS
  • Knowledge and experience with Machine Learning and Reinforcement Learning methods.
  • Proficient in Python and experience with machine learning and deep learning toolkits such as Tensor F lo w TensorFlow Probability and Jax.
  • Scientific thinking ability to design experiments and training frameworks and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals.
  • Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
  • Ability to develop and debug production-quality code.
  • Familiarity with continuous integration models and unit test development.
  • Familiarity with the financial services industries
  • Innovative problem-solvers with a passion for developing solutions that support our global business.
  • Curious hardworking detail-oriented and motivated by complex analytical problems.
  • Ability to work both independently and in highly collaborative team environment
  • CFA ACCA or any other finance and accounting qualifications
  • PCAP or any other programming or software engineering qualifications. Do mention any Coursera or other online certificates in your CV.
  • Required Experience :

    IC

    Key Skills

    Aerospace Engineering,Data Entry,Business Management,Flexcube,Contract

    Employment Type : Full-Time

    Experience : years

    Vacancy : 1

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    2026 2026 2026 • Hong Kong, Hong Kong

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