Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership. We are seeking someone with a good blend of business consulting skills and a data analytics background. If you are passionate about working on unstructured business problems that can be solved using data, we would like to talk to you.
Responsibilities
- Develops Consumer Credit Review plan using a risk-based approach and executes the Consumer Credit Reviews across all consumer lending products covering credit cards, personal loans, and home equity loans, including performing a risk assessment on the overall portfolio. Collaborates with credit strategy teams to mitigate any identified credit risk concerns. Reports findings through the appropriate, established governance processes.
- Interacts with business partners, senior management, governance committees, and regulators to present (both orally and written) Consumer Credit Review assessment results and analytic findings in a clear, complete, and concise manner.
- Develops, manages, and maintains reporting and oversight of consumer credit risk appetite, tolerance, and thresholds. This includes the awareness of consumer credit strategies and the implications of changes in strategy to the profitability of the enterprise.
- Develops and maintains credit-risk oversight processes, policies, and procedures in accordance with the overall Corporate Risk Management framework and system.
- Implements and maintains independent credit risk portfolio reporting across all consumer lending products.
Minimum Requirements
- 8+ years of experience in Statistics, Economics, Engineering, related quantitative field, equivalent internship, or research experience in lieu of a degree, 15+ years of experience in credit card, or related financial services industry.
- Prior experience working in the credit risk domain.
- Master's Degree in Statistics, Economics, Engineering, Finance, or related quantitative field.
- Ph.D. in Statistics, Economics, Engineering, Finance, or related quantitative field.
- 10+ years of experience in Statistics, Economics, Engineering, related quantitative field, equivalent internship, or research experience.
- 10+ years of experience in credit review, credit risk management, or internal audit credit risk coverage function at a large financial institution.
- Knowledge and use of statistical packages such as SQL, SAS, Python, or other tools to mine and extract complex consumer and transaction level data on big data and/or cloud computing platforms.
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
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