Senior Manager - Analytics - Climate Risk

Role Focus:

- Identify potential problems, build the hypothesis, identify research data attributes and determine approach to solve analytical problems specifically in the area regulatory risk and modeling.

- Understand, extract, clean and prepare the data for analysis.

- Build complex programs for running statistical tests on data and for understanding correlation of various attributes. Perform detail exploratory data analysis on the data and report findings.

- Compare and weigh numerical model outputs and identify best choice models.

- Build models and ensure models with good predictive power as well as those which meet regulatory and audit standards.

- Make recommendations for procedural improvements supported by analytical findings.

- Build presentations for targeted audiences.

- Pragmatic approach to deliver fit to purpose strategies for bank under clear timelines.

Skill Requirement:

- Experience in Statistical Modeling

- Working knowledge of aspects like Physical Risk and Transition Risk stress testing

- Mandatory experience in SAS, Python or R

- Strong communication skills