About J.P. Morgan Corporate & Investment Bank
J.P. Morgan’s Corporate & Investment Bank is a global leader across banking, markets, securities services and wholesale payments. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries. The Corporate & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
The role will be in the firm’s Markets Operations Reporting & Analytics group.
The successful candidate will apply data analytics techniques from both traditional statistics and machine learning to a combination of third party, publicly available and J.P. Morgan proprietary datasets, with the goal of answering questions relevant to improving automation, efficiency and reducing manual touchpoints in operational processes.
. Research and develop innovative ML-based solutions to some of the firms hardest problems
. Understand the business to formulate relevant high impact business questions that can be answered through data analysis
. Work on building robust Data Science capabilities which can be scalable across multiple business use cases
. Collaborate with Tech partners to design and deploy Machine Learning services that can be integrated with strategic systems.
. Think strategically to leverage reusable components within the firm and state of the art available externally when building the capabilities.
. Research and analyse data sets using a variety of statistical and machine learning techniques.
. Communicate final results and give context.
. Document approach and techniques used.
Required Technical Qualifications and experience
. BTech, MS or PhD in a quantitative or computational discipline
. Hands-on experience developing and deploying Data Science and ML capabilities in production at scale.
. Strong ability to develop and debug in Python or similar professional programming language.
. Should be able to work both individually and collaboratively in teams, in order to achieve project goals.