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JPMorgan Applied Artificial Intelligence & Machine Learning Associate 
India, Maharashtra, Mumbai 
231316026

25.06.2024

About the role

As a member of the CIB Cross-Functional Applied AI/ML team, you will have the unique opportunity to be a critical player in our firm-wide efforts to shape the future of banking. Crucial to this is helping to transform how cross-functional and operations teams operate, where you will have a direct impact on the behind-the-scenes management and functioning of the bank's corporate and investment banking services.

Finance background is not a must-have. If you get as excited about machine learning theory as you get about Python development, we’d love to speak with you.

In this role, you will:

  • Interact with very large datasets from different businesses in the financial domain currently not available anywhere else.
  • Write production-ready code and work with tech teams to ensure your ML solution is deployable at scale across multiple lines of business.
  • Develop products that can change how corporate and investment banking is done today.


Responsibilities

  • Research and develop innovative ML based solutions to some of cross-functions and operations hardest problems.
  • Build robust data science capabilities which can be scaled across multiple business use cases.
  • Collaborate with software engineering teams to design, deploy, and maintain production-grade ML models that can be integrated with strategic systems.
  • Research and analyze large data sets using a variety of statistical and machine learning techniques.
  • Communicate AI capabilities and results to both technical and non-technical audiences.
  • Document approaches taken, techniques used, and processes followed to comply with industry regulation.

Required Technical Qualifications and Experience

  • Bachelors/Masters degree or PhD in a quantitative or computational discipline
  • Considerable commercial experience in line with a capable individual contributor; developing and deploying data science and ML capabilities in production at scale.
  • Strong Python development and debugging skills. Capable to develop high quality reusable code that can be leveraged from a larger group of data scientists to solve a broad spectrum of business use cases.
  • Ability to work both individually and in collaboration with others, and to mentor more junior team members.
  • Ability to work in agile cross-functional and operations teams and drive deliverable outcomes.
  • Ability to work with non-specialists in a partnership model, conveying information clearly and creates a sense of trust with stakeholders.

Nice to Have

  • Experience with deep learning frameworks (pytorch, tensorflow)
  • Experience with big-data technologies (Spark, Hadoop) or distributed computation frameworks (Dask, Modin)
  • Hands on experience with Natural Language Processing (NLP) and Large Language Models (LLMs)
  • Experience of creating and deploying microservices
  • Knowledge of MLOps concepts (CI/CD, versioning, reproducibility, observability) and development best practices