Associate - Quant Analytics - Credit Risk & Stress Testing - CCAR/CECL

Description:

About the Role:

We are looking for a strategic and result-oriented Quant Analytics Associate to join our MIS and Platforms team. This role is a perfect blend of financial domain expertise (Credit Risk / Stress Testing) and advanced data analytics. You will be responsible for running complex forecasting models, managing big data pipelines, and translating data into actionable insights for senior leadership.

Key Responsibilities:

- Risk Modeling & Testing: Run quarterly Mortgage Stress Testing models (CCAR) and CECL reserve setting models independently.

- Variance Analysis: Analyze key drivers of quarter-over-quarter (QoQ) variances and explain modeled results to Credit Risk leadership teams.

- Cross-Functional Collaboration: Partner actively with the Credit CFO Finance Team and Stress Testing Model Development teams to enhance forecasting frameworks.

- Data Engineering & Mining: Design and develop data mining queries from large, complex structured and unstructured datasets in a Big Data environment.

- Business Storytelling: Build interactive dashboards and present analytical findings using visualization tools to impact business decisions.

Required Qualifications & Skills:

Domain Expertise (Mandatory):

- 3+ years of experience in Analytics with strong exposure to Fixed Income, Credit Risk, or Mortgage Analytics.

- Proficient in Stress Testing models/methodologies and CCAR scenario forecasting / CECL modeling.

- Strong understanding of Exploratory and Regression data analysis.

Technical Tech-Stack:

- Programming: Hands-on experience with Python (Pandas), R, or MATLAB.

- Big Data & SQL: Robust experience in PySpark / Spark stack and writing complex queries in Snowflake or Databricks.

- Visualization: Proficient in Tableau for business storytelling.

- Productivity: Advanced skills in MS Excel, PowerPoint, and Word for management reporting.

Education:

- Advanced degree (Master's/Ph.D./B.Tech) in a Quantitative discipline like Economics, Finance, Statistics, Mathematics, or Data Science.

- Candidates from other technical fields with significant professional experience in CCAR/CECL modeling are also highly welcome.

Why Join Us?

- Opportunity to work on critical global regulatory frameworks (CCAR/CECL).

- Exposure to large-scale Big Data architectures (Databricks/Snowflake/Spark).

- Direct interaction with senior risk leadership and CFO teams.