JP Morgan - Associate/Vice President - Applied AI & ML

Applied AI and ML _ JP Morgan Chase - Bengaluru

- Data Analytics at J.P. Morgan Corporate Investment Bank combines cutting edge machine learning techniques with the company's unique data assets to optimize all the business decisions we make.

- In this role, you will be part of our industry-leading data analytics team, and advance the state-of-the-art in financial applications ranging from generating business intelligence to predictive models and automated decision making.

- The role will be in the firm's Applied AI and Machine Learning organization and will involve working closely with Digital & Platform Services Operations.

- 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 Operations.

Responsibilities :

- 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 & experience :

- B.Tech, 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.

- Must be curious, hardworking and detail-oriented, and motivated by complex analytical problems.

- Experience in deep learning / applied AI

- Able to be results and client focused and follow the agile development paradigm.