Assistant Vice President - Core Modeling - Credit/Debit Card Business

The individual will be responsible for:

- Designing, developing, implementing, and validating statistical models and segmentation for the bank's credit/debit card business

- Perform data extraction, sampling, and statistical analysis/ modeling using linear regression, logistic regression, time series analysis/forecasting, multivariate analysis (i.e. clustering analysis, principal component analysis, discriminate analysis, etc) and advanced data mining techniques

- Analyze and interpret financial data using SAS and other statistical software in UNIX environment

- Provide and present model results, insights and recommendation to senior management and partners using MS Office (i.e. PowerPoint, Word, and Excel);

- Partner with internal teams to implement models/segments/tools into the system and to support business execution and/or analytics on revenue growth and loss control will be responsible

Skills:

- Master/ Ph.D. in Statistics, Econometrics, Operations Research, Mathematics and Physics (or equivalent quantitative fields).

- 6-8 years of relevant analytics/ modeling experience or solid advanced academic researchers.

- Financial industry experience, especially in business banking/credit card/debit card.

- Strong analytical and problem-solving skills with the ability to interpret complicated and large amounts of data with business insights.

- Prior experience in mentorship/ managing 1-3 people.

- Knowledge and experience developing credit card /retail banking/business banking Models using regression (Logistic, Decision tree, time series, etc.), pattern recognition and/or data mining techniques.

- Experience in SAS and SQL in UNIX environment, database such as ORACLE/TERADATA.

- Excellent written and oral communication skills to clearly present analytical findings and make business.