A company is looking for a Specialist, Risk Analytics Researcher (Data Engineering).
Key Responsibilities :
Assists in the research and implementation of financial engineering, data science, and statistical techniques for risk management
Supports regular testing of risk limits and aids with quantitative modeling processes
Collaborates to ensure consistent model assumptions and reviews model outputs for limitations and impacts
Required Qualifications :
4+ years of data experience with SQL, Python, and R
Experience using tools such as Databricks, Snowflake, and MS SQL Server
Understanding of reporting tools like Tableau or Power BI
Undergraduate studies in finance, accounting, economics, statistics, or mathematics required; advanced degree preferred
Typically, three or more years of related work experience in financial risk modeling or actuarial functions
Researcher • Saint Paul, Minnesota, United States