Job Type
Full-time
Description
The Director of Credit Risk and Portfolio Analytics will lead a team responsible for assessing, managing, and mitigating the credit risk associated with our loan portfolio. This hands-on leadership role will be focused on developing our loan retention program and the subsequent creation and monitoring of our loan portfolio. You will be using quantitative methods to identify credit risk, develop and recommend credit strategies, and monitor credit performance for consumer credit portfolios to optimize profitable growth within the risk appetite of the Bank.
This role will work closely with various departments, including Finance, Operations, and Compliance, to ensure that our loan portfolios are meeting the required economic hurdles and remain in compliance with industry and regulatory standards. Key responsibilities include developing and maintaining credit risk tools/models, conducting credit risk assessments, monitoring credit risk exposures, developing and maintaining economic models, and providing reporting and recommendations to senior management.
What You'll Do: - Develop, and conduct regular in-depth analysis to monitor the performance of consumer credit portfolios at the Bank to identify risk drivers for both growth and risk mitigation
- Lead the creation of metrics and dashboards to proactively quantify and monitor credit risk and portfolio performance that are presented to committee on regular basis
- Make recommendations to adjust portfolio mix to mitigate observed risk to meet/maintain initial investment objectives
- Develop and manage vintage based curves (static pools) for payments and losses, for a variety of our loan portfolio assets
- Develop and maintain accurate forecasting and planning models that enable the business to predict unit-based and portfolio-based economic outcomes for base line and simulated (stressed) scenarios
- Lead the credit loss forecasting and modeling functions and work closely with Finance and support the CECL reserve processes
- Manage a team of 1 to 3 support analysts and coach staff to achieve high levels of performance and meaningful career growth
- Participate in internal and external audits related to credit risk, including FDIC and UDFI exam management, in particular for Safety and Soundness exam related items (CAMELS).
- Drive the agenda for the evolution of the Bank's risk data infrastructure.
Requirements
What We're Looking For: - BS degree in Engineering, Computer Science, Statistics, Economics, Finance, or similar fields. Advanced quantitative or technical degree is preferred.
- 10+ years of experience in data science and advanced analytics, including developing/using credit risk and forecasting models.
- 7+ years of experience in regulated banking or consumer lending credit risk management including portfolio monitoring, static pool analysis and loss forecasting, in particular CECL loss provisioning a strong plus.
- 5+ years of experience leading analytical teams.
- Experience with ABS risk rating/grading for creditworthiness and performance for priced tranches of assets.
- Deep understanding of credit risk management principles, strong analytical skills, and the ability to develop and recommend effective risk management strategies to Committee at the onset of a program and on a regular cadence thereafter.
- The successful candidate will have a proven track record of managing credit risk in a financial institution, excellent communication skills, and the ability to work effectively in a fast-paced environment.
- Experience with vended software for CECL provision analysis e.g., Moody's Impairment Studio and in particular the WARM model for estimating lifetime losses.
- Experience with sub-prime consumer segments is highly desirable.
- Experience with using consumer credit data (bureaus, banking data, alternative financial services data) for segmentation analysis and risk differentiation.
- Highly proficient with analytical tools such as SQL, R, SAS, Python, etc.
- Deep familiarity with business intelligence tools like Tableau, Power BI, Domo, etc.
- Advanced proficiency with Microsoft suite required (Excel, Word and PowerPoint).
- Understanding of data warehousing concepts and ETL and API techniques.
- Drive and inspiration, and a curiosity about the way things work.
- Passion for managing and developing people.
