Note: The job is a remote job and is open to candidates in USA. Randolph-Brooks Federal Credit Union is currently searching for an experienced and talented Senior Credit Risk Modeling Analyst to join our amazing Consumer Lending team! The role involves designing and building credit risk models that enable automated underwriting while optimizing decision rates and loss performance, utilizing statistical and machine-learning techniques on complex datasets.
Responsibilities
- Utilizes risk modeling techniques to identify, quantify, and forecast potential credit risk and opportunities for the institution
- Develops and maintains expertise in the fields of risk quantification and modeling to support both internal and external stakeholders
- Collaborates with stakeholders to understand product characteristics used for modeling while assisting in communication and education of current and expected risk exposures
- Makes recommendations to management on current and future strategies and profitability projections
- Perform other quantitative analysis for institution stakeholders as needed
- Leverage expertise to foster and expand collective knowledge within the team
- Gathers and analyzes pertinent data to create or strengthen models that forecast risk exposure and help make informed business decisions
- Continuously monitor the economic and business environments to update models as new data becomes available
- Defines, documents, and summarizes methodologies, assumptions, and results of risk models and prepares reports for management
- Act as a liaison between lending and IT to assist in the aggregation and organization of institutional data for the use in models and reporting
- All other duties as assigned (note: essential functions and responsibilities may change, or new ones may be assigned at any time with or without notice)
Skills
- Master's degree in finance, statistics or other quantitative field or 6 years of job-related experience in lieu of master's degree
- Minimum 5 years of experience in a similar role or experience in similar areas in the Banking/Financial Services Industry
- Strong analytical, mathematics, organizational, and planning skills
- Ability to articulate complex theories, concepts, methodologies, and findings in a non-technical manner to a non-technical audience
- Innovative self-starter with ability to meet deadlines, work independently, and think outside the box
- Excellent interpersonal skills, with a desire to pursue best practices in a challenging team environment
- Proficient to advanced knowledge of statistical modeling and other quantitative techniques including, but not limited to, linear & non-linear regression, optimization, simulation, time-series analysis, probability theory, survival analysis, and value-at-risk
- Knowledgeable of modeling systems and/or computer programming languages used for modeling (e.g. python & R)
- Ability to complete multiple projects and meet deadlines
- Capable of working on assignments with minimal assistance
Company Overview