- A role that accelerates career growth through hands-on exposure to high-impact monitoring and governance initiatives, encouraging innovation and continuous improvement
- An opportunity to shape model performance insights by turning complex analytics into clear, actionable recommendations that directly influence senior-level decisions
Impact
This role enhances the reliability of credit risk models by supporting automated monitoring, analyzing performance issues, and delivering clear insights to stakeholders strengthening model governance and enabling informed decision-making.
Key Deliverables (Duties and Responsibilities)
- Lead task automation and execution of ongoing model monitoring utilizing Tableau for credit risk models across various commercial and consumer loan portfolios
- Manage a team of quantitative analysts, providing technical guidance, career development, and performance management
- Conduct deep dive and root cause analysis using in-depth statistical analysis to assess model risk and performance.
- Prepare and maintain detailed monitoring reports to align with the ongoing monitoring plans adhering to risk management guidelines.
- Communicate performance results, model breaches, and other concerns to senior management and model users in a clear and actionable manner, supporting informed decision-making
- Identify potential improvements to current procedures, plans, and controls to achieve business objectives.
- Work closely with the model development team to identify and address model performance issues.
- Support and remediate identified model findings as it pertains to ongoing model monitoring related observations.
Skills and Qualification (Functional and Technical Skills)
Functional Skills:
- 8+ years of experience in credit risk model development or monitoring or a similar quantitative role with at least 4 years of Management/Lead Experience
- Experience with Commercial and Consumer Loan Portfolios
- Familiarity with US banking regulations and risk analytics/governance standards
- Attention to detail, organizational skills, and ability to work independently
- Excellent oral and written communication skills
- Ability to manage multiple projects and meet deadlines efficiently.
Technical/Business Skills:
- Advanced proficiency in other quantitative techniques and statistical modeling tools (e.g. SAS and SQL)
- Experience with Cloud Engineering Tools (e.g. Azure/Snowflake)
- Experience generating automated reports and dashboards using Tableau or Power BI
- Experience working with APIs to extract and ingest data from external sources
- Strong Analytical, interpretive, and code debugging skills with ability to interpret large data sets
- Understanding of statistical concepts and modeling, including regression analysis, time series, and risk metrics
- Experience with Consumer and Commercial loan portfolios
Qualification / Experience
- Phd or Master s degree in Statistics, Mathematics, Finance, Economics, Information Sciences or any quantitative field from an accredited college/university required
- Certifications like CFA or FRM will be desirable
- Advanced proficiency in Python
- Hands on experience in CECL and CCAR model development with strong understanding of statistical concepts
Relationships & Collaboration
To build strong onshore and offshore relationships and foster effective collaboration, prioritize transparent communication, cultural sensitivity, and clear goal alignment, while making sincere efforts to bridge geographical gaps and manage time zone differences. Foster trust and creating a unified "one team" culture to drive mutual success and growth.
