JPMorgan Applied AI Associate - Markets Operations 

United Kingdom, England, London 

126915318

About the role

As a member of the CIB Applied AI/ML for Operations 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 Operations teams, 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 in the financial domain currently not available anywhere else
• Write production-ready code and work with tech teams to ensure your machine learning 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 Operations' hardest problems
• Build robust Data Science capabilities which can be scalable across multiple business use cases
• Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems
• Research and analyse 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

Required Technical Qualifications And Experience

• Masters degree in a quantitative or computational discipline
• Commercial experience developing and deploying Data Science and ML capabilities in production at scale
• Strong Python development and debugging skills
• Experience with Natural Language Processing (NLP)
• Experience with machine learning frameworks (pytorch, tensorflow) and data science packages (examples: Scikit-Learn, NumPy, SciPy, Pandas, statsmodels)
• Ability to to work both individually and in collaboration 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

Nice to Have

• Ability to design intrinsic and extrinsic evaluations of a model's performance which are aligned with business goals
• Ability to work with non-specialists in a partnership model, conveying information clearly and creates a sense of trust with stakeholders
• Experience with inference, training and deployment of Large Language Models
• Experience with big-data technologies such as Spark