Applied AI ML Senior Associate

2 weeks ago

London, Greater London, United Kingdom JPMorganChase Full time £60,000 - £120,000 per year
Description

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 & Machine Learning Associate, you'll advance financial applications from business intelligence to predictive models and automated decision-making, working closely with Digital & Platform Services Operations.


As an Applied AI ML Senior Associate in the Commercial & 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 & Platform Services Operations teams and other stakeholders to support the Corporate & Investment Bank and its partners.

Job 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.

Required Qualifications, Capabilities, and Skills:

  • 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.

Preferred Qualifications, Capabilities, and Skills:

  • 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

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