Sr Credit Risk Analyst

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Requirements:

• An expert with SQL and experienced with Python.
• 5+ years of relevant experience in a credit risk analytics role in the financial industry.
• Working knowledge of fintech risk fundamentals and industry risk trends.
• Ability to communicate metrics and data clearly and translate analytical insights into business metrics.
• Proficient in applying statistics and probability concepts to split testing or LTV estimation.
• Strong interpersonal skills and able to work cross-functionally in team environments.
• Creative thinker who thrives in a fast-paced and dynamic work environment.

Responsibilities:

• Proactively explore data and identify opportunities to refine risk management strategies.
• Conduct pattern analysis by researching and analyzing risk trends and patterns.
• Define performance metrics and develop reports to monitor risk mitigation performance.
• Integrate decision making in the business area considering broader economic P&L, brand, and people impact.
• Work closely with machine learning team to improve risk models.
• Collaborate cross-functionally with Machine Learning, Product, Engineering, and Operations.
• Evaluate innovative data sources to address identity and transaction risk.