jpmorgan-chase-%26-co. - Mumbai, Maharashtra, India | 2024-10-03 12:06:36

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.

As an Associate in the Credit Risk Innovation Group, you are at the center of keeping JPMorgan Chase strong and resilient. You will help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your data science expertise modernize the approach of the team to solve real-world challenges that impact our company, customers and communities. Our culture is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

Job Responsibilities

• Lead product development from ideation to execution, thus creating a modern and sophisticated platform for credit investment review and monitoring
• Conduct research, design and develop scalable proof of concepts that support risk analytics and decision-making processes
• Design and implement framework for smoothly integrating credit risk models and calculations in Python/PySpark while enhancing performance and scalability
• Work with front-end technologies (HTML5, CSS3, JavaScript, React.js, Angular) and back-end technologies (Node.js, Django, Flask) to design solutions
• Develop data pipelines through APIs links to integrate risk models and calculations with front-end and MI/dashboarding capabilities
• Able to investigate, triangulate, optimize and enhance the performance, quality, and responsiveness of such products
• Work with JP Morgan Chase in-house Large Language Model, and external alternatives to conceptualize, design, test and develop intelligent solutions to automate and improve team’s current processes e.g., credit risk review writing
• Adopt agile practices to deliver products and next generation risk analytics products
• Build proposal, budget requirements and project plans to deliver products
• Collaborating across teams and geographies to leverage data, technology and platforms to build analytical tools, as well as to help design and build the next generation of intelligent solutions
• Embrace a control focused culture, develop strong understanding of business and credit risk to partner effectively with stakeholders

Required qualifications, capabilities, and skills

• Experience in risk management and expertise in technology
• Familiarity with credit loss modelling, key risk/capital metrics and modelling/analytics such as logistic regression, time series analysis and AI/machine learning algorithms
• Proficient with technologies such as Python/PySpark, Tableau, Alteryx, Databricks, Snowflake, AWS S3 database, Azure, Open-AI LLMs & UiPath (a person with a high tech-aptitude and drive to learn new things will be considered)
• Experienced in product or application development leveraging one or more of the above technologies in risk management space
• Professional experience in data analytics, machine learning and artificial intelligence and data visualization tools/ techniques
• High aptitude, problem solving skills to create solutions to potentially complex business challenges
• Candidate must be able to lead, multitask, thrive in a fast-paced environment managing multiple ad-hoc analytical requests and prioritize work accordingly
• A strong academic background, with a minimum of a bachelor`s degree in computer science/IT, engineering, physics, mathematics, quantitative economics and statistics
• Global banking or consulting work experience

Preferred qualifications, capabilities, and skills

• Minimum 5 years of work experience in application development, business analysis, data science, machine-learning or AI
• Front-end development, UI design, and dashboard development/visualization skills
• A keen interest, curiosity in various developments and hands on experience in Generative AI
• Credit risk or broader risk management knowledge in global banking concept
• Practical knowledge of agile methodologies and project management 

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