Senior Risk Analyst
United StatesFull-TimeSenior
Salary108000 - 120000 USD per year
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Job Details
- Experience
- 3–5+ years
- Required Skills
- PythonSQLData AnalysisMicrosoft Power BITableauA/B testingPySpark
Requirements
- 3–5+ years of experience in credit risk, fraud risk, collections, or financial services analytics roles
- Strong proficiency in SQL (advanced level required)
- Solid experience working with large datasets
- Experience with Python or PySpark for data analysis (strongly preferred)
- Background in risk or data analytics within lending, fintech, banking, or financial services environments
- Experience building dashboards and visualizations using tools such as Tableau or Power BI (plus)
- Strong analytical mindset with the ability to translate complex data into actionable business insights
- Proven ability to influence stakeholders and drive data-backed decision-making
- Excellent communication skills, both written and verbal
- Self-starter with strong organizational and prioritization skills
- Comfortable working in fast-paced, iterative, test-and-learn environments
- Growth mindset with curiosity around AI tools and automation to improve analytics workflows
Responsibilities
- Lead analytics initiatives focused on improving repayment rates, optimizing collections strategies, and reducing credit risk exposure
- Design, execute, and analyze A/B tests and experiments to evaluate and improve risk and repayment strategies
- Build and maintain dashboards and reporting frameworks to monitor key risk, fraud, and collections performance metrics
- Identify trends, anomalies, and emerging risks through proactive data analysis and ongoing portfolio monitoring
- Optimize external collections and debt recovery strategies in partnership with agency and vendor stakeholders
- Collaborate with cross-functional teams to support high-visibility risk and business initiatives
- Deliver actionable insights and strategic recommendations to improve portfolio performance and customer outcomes
- Own end-to-end analytics workstreams with strong accountability for data quality, execution, and impact
- Support the development of scalable insights capabilities for risk governance and decision-making
- Continuously refine analytical approaches using advanced techniques and modern tooling
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