CIB Markets - Machine Learning
Published date: 2026/11/08
- Location: Mumbai, Maharashtra, India
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.
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 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.
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs
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.
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 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.
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs
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