Sr Data Scientist, Credit Risk Oversight

Lead the development and implementation of advanced data science models. Collaborate with stakeholders to understand requirements. Drive best practices in data science. Ensure data quality and integrity in all processes. Mentor and guide junior data scientists. Stay updated with the latest trends in data science. 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, involving understanding of credit risk fundamentals (e.g. underwriting principles, credit risk metrics) (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. Ensure adherence to changes in the business model and/or regulatory environment. 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 disperse teams, especially with teams situated abroad and in different time zones. Subsidiary: