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Chase · 2 months ago

Risk Management - Data Scientist - Senior Associate

1111 Polaris Pkwy, Columbus, OH, 43240, US

Full-time

Onsite

Mid, Senior Level

3+ years exp

Chase is a leading financial services firm, and they are seeking a Senior Associate Data Scientist to join their Risk Management and Compliance team. The role involves leveraging cross-LOB customer data to generate insights, inform credit strategy, and develop attributes to support credit models and strategy.

BankingFinancial Services

No H1B

U.S. Citizen Only

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

Qualification

PythonSQLAdvanced degreeAnalytical skillsProblem-solving skillsProject managementMicrosoft OfficeCommunication skills

Required

Advanced degree in statistics, econometrics, or a related quantitative field, with 3+ years of Financial Services 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