Credit Risk Innovation Associate - Data Science and Engineering

As an Associate in the Credit Risk Innovation Group, you play a crucial role in ensuring the strength and resilience of JPMorgan Chase. Your expertise in data science will help the firm navigate new and emerging risks, contributing to responsible business growth. Your innovative solutions will have a tangible impact on the company, its customers, and communities. The culture at JPMorgan Chase encourages you to think creatively, challenge conventions, and strive for excellence in all endeavors. - Lead product development from ideation to execution, creating a modern platform for credit investment review and monitoring - Conduct research and develop scalable proof of concepts supporting risk analytics and decision-making processes - Design and implement a framework for integrating credit risk models and calculations using Python/PySpark, focusing on performance and scalability - Utilize 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 to integrate risk models with front-end and MI/dashboarding capabilities - Investigate, optimize, and enhance product performance, quality, and responsiveness - Collaborate with in-house and external language models to automate processes like credit risk review writing - Embrace agile practices for product delivery and next-generation risk analytics - Collaborate across teams and geographies to leverage data, technology, and platforms for analytical tools and intelligent solutions - Develop proposals, budget requirements, and project plans for product delivery - Foster a control-focused culture, understanding business and credit risk to effectively partner with stakeholders Qualifications Required: - Experience in risk management with expertise in technology - Familiarity with credit loss modeling, key risk/capital metrics, and analytics such as logistic regression, time series analysis, and AI/machine learning algorithms - Proficiency in Python/PySpark, Tableau, Alteryx, Databricks, Snowflake, AWS S3 database, Azure, OpenAI LLMs, and UiPath - Experience in product or application development leveraging technologies in the risk management space - Professional experience in data analytics, machine learning, artificial intelligence, and data visualization tools/techniques - Strong problem-solving skills and high aptitude to tackle complex business challenges - Ability to lead, multitask, and thrive in a fast-paced environment - Minimum bachelor's degree in computer science/IT, engineering, physics, mathematics, quantitative economics, or statistics - Global banking or consulting work experience Preferred Qualifications: - Minimum 5 years of experience in application development, business analysis, data science, machine learning, or AI - Front-end development, UI design, and dashboard development/visualization skills - Interest and experience in Generative AI - Credit risk or broader risk management knowledge in global banking concepts - Practical knowledge of agile methodologies and project management As an Associate in the Credit Risk Innovation Group, you play a crucial role in ensuring the strength and resilience of JPMorgan Chase. Your expertise in data science will help the firm navigate new and emerging risks, contributing to responsible business growth. Your innovative solutions will have a tangible impact on the company, its customers, and communities. The culture at JPMorgan Chase encourages you to think creatively, challenge conventions, and strive for excellence in all endeavors. - Lead product development from ideation to execution, creating a modern platform for credit investment review and monitoring - Conduct research and develop scalable proof of concepts supporting risk analytics and decision-making processes - Design and implement a framework for integrating credit risk models and calculations using Python/PySpark, focusing on performance and scalability - Utilize 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 to integrate risk models with front-end and MI/dashboarding capabilities - Investigate, optimize, and enhance product performance, quality, and responsiveness - Collaborate with in-house and external language models to automate processes like credit risk review writing - Embrace agile practices for product delivery and next-generation risk analytics - Collaborate across teams and geographies to leverage data, technology, and platforms for analytical tools and intelligent solutions - Develop proposals, budget requirements, and project plans for product delivery - Foster a control-focused culture, understanding business and credit risk to effectively partner with stakeholders Qualifications Required: - Experience in risk management with expertise in technology - Familiarity with credit loss modeling, k