DescriptionBring your expertise to JPMorgan Chase. As part of Risk Management and Complianceyou are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgement to solve real-world challenges that impact our company customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box challenging the status quo and striving to be best-in-class.
As a Senior Associate Data Scientist in the Chase-360 Payment Analytics team you will leverage cross-LOB customer data to generate insights into the health of consumers and small businesses inform and influence credit strategy across consumer and business banking lending products and develop attributes to support credit models and risk criteria.
You are a self-starter who thrives in a fast-paced dynamic environment. You are intellectually curious always asking why and what if and challenging assumptions to uncover deeper insights. You demonstrate learning agility quickly mastering new concepts and technologies. You display confidence and aptitude to own and drive ambiguous problems to scalable solutions.
Job Responsibilities
- Utilize skills in data analysis modeling data engineering and project management to initiate develop and complete advanced analytics projects.
- Perform credit-focused analytics to identify quantify and monitor risks in consumers and small businesses leveraging diverse large internal data sources.
- Translate complex data into clear actionable insights that inform strategic decisions.
- Deliver regular time-critical high-impact reports dashboards and presentations to Consumer and Community Banking (CCB) Risk leadership.
- Conduct independent research on emerging risks relevant to consumers and small businesses proactively addressing new challenges and opportunities.
- Analyze external publications from peers and other data releases to continually deliver insights and perspectives tailored to the needs of CCB Risk leadership.
- Communicate findings and recommendations effectively to business partners across Card Auto Home Lending and Business Banking teams.
- Stay up to date on industry trends macroeconomic developments technological advances and best practices in risk analytics.
Required qualifications capabilities and skills
- Advanced degree in statistics econometrics or a related quantitative field with 3 years of risk management or quantitative experience; alternatively BS degree with a minimum of 5 years relevant experience.
- Strong background in Python and SQL.
- Proficient in Microsoft Office suite of products.
- Demonstrated analytical and problem-solving skills across conceptualization and execution of analytics oriented projects.
- Ability to synthesize diverse information and develop actionable recommendation.
- Ability to manage and prioritize competing activities and achieve tight timelines on complex deliverables.
- Ability to communicate complex findings clearly in both in written format and verbally to technical and non-technical audiences.
Preferred qualifications capabilities and skills
Required Experience:
Senior IC
DescriptionBring your expertise to JPMorgan Chase. As part of Risk Management and Complianceyou are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgement to solve r...
DescriptionBring your expertise to JPMorgan Chase. As part of Risk Management and Complianceyou are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgement to solve real-world challenges that impact our company customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box challenging the status quo and striving to be best-in-class.
As a Senior Associate Data Scientist in the Chase-360 Payment Analytics team you will leverage cross-LOB customer data to generate insights into the health of consumers and small businesses inform and influence credit strategy across consumer and business banking lending products and develop attributes to support credit models and risk criteria.
You are a self-starter who thrives in a fast-paced dynamic environment. You are intellectually curious always asking why and what if and challenging assumptions to uncover deeper insights. You demonstrate learning agility quickly mastering new concepts and technologies. You display confidence and aptitude to own and drive ambiguous problems to scalable solutions.
Job Responsibilities
- Utilize skills in data analysis modeling data engineering and project management to initiate develop and complete advanced analytics projects.
- Perform credit-focused analytics to identify quantify and monitor risks in consumers and small businesses leveraging diverse large internal data sources.
- Translate complex data into clear actionable insights that inform strategic decisions.
- Deliver regular time-critical high-impact reports dashboards and presentations to Consumer and Community Banking (CCB) Risk leadership.
- Conduct independent research on emerging risks relevant to consumers and small businesses proactively addressing new challenges and opportunities.
- Analyze external publications from peers and other data releases to continually deliver insights and perspectives tailored to the needs of CCB Risk leadership.
- Communicate findings and recommendations effectively to business partners across Card Auto Home Lending and Business Banking teams.
- Stay up to date on industry trends macroeconomic developments technological advances and best practices in risk analytics.
Required qualifications capabilities and skills
- Advanced degree in statistics econometrics or a related quantitative field with 3 years of risk management or quantitative experience; alternatively BS degree with a minimum of 5 years relevant experience.
- Strong background in Python and SQL.
- Proficient in Microsoft Office suite of products.
- Demonstrated analytical and problem-solving skills across conceptualization and execution of analytics oriented projects.
- Ability to synthesize diverse information and develop actionable recommendation.
- Ability to manage and prioritize competing activities and achieve tight timelines on complex deliverables.
- Ability to communicate complex findings clearly in both in written format and verbally to technical and non-technical audiences.
Preferred qualifications capabilities and skills
Required Experience:
Senior IC
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