JPMorgan Credit Risk Innovation Associate - Data Science Engineering 

India, Maharashtra, Mumbai 

466998272

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
• 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