3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience
An advanced degree in a quantitative field, such as statistics, mathematics, computer science or engineering (preferred)
2+ years of experience in credit risk management/lending (preferred)
Strong analytical skills, demonstrating ability to work with data, identify patterns, derive/visualize business insights and translating them into compelling narratives
Experience with merchant or small business lending environments is a strong plus
Understanding of second line of defense functions is a strong plus
Proficiency with Python, SQL, or other statistical analysis tools is a strong plus
Ability to assess, review and analyze current credit strategy and exposure limits/thresholds to ensure alignment to the Risk Appetite
Excellent written and verbal skills; interpersonal and collaborative skills; ability to communicate credit risk concepts to technical and non-technical audiences; ability to communicate second line challenges in an effective and respectful manner
Critical thinker with strong influencing, negotiation, and relationship building skills; an ability to interface internally and externally to ensure successful, high-quality outcomes
Ability to work with geographically dispersed teams

Senior Data Scientist, Credit Risk Oversight

Key skills