What are the responsibilities and job description for the Sr.Manager/AD- Credit Risk Policy position at Tiger Analytics?
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.
We're looking for an analytics professional from the banking and financial services industry, with Credit Risk Policy & Risk Management experience. The role is responsible for effective management of the overall Risk Forecasting verical.
Responsibilities-
Key Responsibilities:
1. Credit Policy Integration: Translate credit policy decisions into portfolio forecasts (should understand portfolio maturation, impact of policy change on loss trajectory, Bad to Good, Severity etc.)
2. Variance Analysis: Project and Track Actuals, explaining variances against forecasts, including the underlying drivers of changes.
3. Model incorporation: Work with a range of models, including vintage-driven, stochastic and challenger orthogonal models.
4. Senior Management Reporting: Clearly articulate variance explanations and key insights to senior leader
- 8-15 yrs of experience in Banking domain and credit card.
- Experience in Credit Cards - Credit Policy (Acquisition Policy required, Existing Client Management is acceptable, First Party Fraud/collections policy experience not required)
- Strong proficiency in understanding of vintage models, roll rate models, and time series based risk models.
- Ability to translate credit policy and macro environment inputs into portfolio impacts, including DQ, Low FICO concentration, Exposure, Credit and Fraud Losses.
- US Credit Cards Domain Experience is mandatory.
- Credit Card Policy experience is a must (non CECL, CCAR, implementation or marketing)
- Hands on coding ability (and strong understanding of data/codes in this space.
- Experience in Python, Databricks Notebooks, SQL, Excel, PPT
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.
