AVP - Quant/Quantitative Analysis - Statistical Model Development - Financial Institution

Minimum Bachelor's Degree in quantitative discipline (e.g. Finance, Mathematics/Statistics or Economics) or PhD in quantitative discipline strongly preferred.

Required Skills :

- Hands-on experience in statistical model development.

- A good knowledge of data analysis, theory and statistical techniques (such as linear or nonlinear models, logistic regression, macroeconomic forecast, decision trees, cluster analysis and neural networks etc.)

- Proficiency with analytical software R Or Python, SQL tools (e.g., Oracle), Unix platforms, and MS Office required.

Desirable skills/Qualification :

- Analytical work experience in a financial services company and strong technical and/or statistical skills with proven ability to process large datasets into meaningful information.

- An understanding of the fundamental principles of the CCAR and other stress testing exercises.

- Strong communication skills & ability to work independently and project management skills.

- Participation with stakeholders across the business in order to understand their issues, objectives and priorities; suggest and discuss potential solution.

- Working with the senior business stakeholders in governing the projects, defining strategic direction and then full model lifecycle management.

Accountabilities :

- Develop predictive models, statistical analyses, optimization procedures, monitoring processes, data quality analyses, and score implementations supporting impairment and collections.

- Participate in overall project design and delivery with Quantitative Analytics- other functional teams and end-clients.

- Contribute to the broader Quantitative Analytics department through participation in peer reviews, terms of reference reviews, modelling forums, and ad hoc project collaboration.

- Validate, track, and monitor delivered projects