Farm Credit East (FCE) is seeking a Quantitative Analytics & Decision Sciences Manager to lead advanced risk modeling and decision science initiatives. This role aims to deliver actionable insights for strategic decisions, optimize business performance, and drive growth by developing and maintaining robust risk models, leveraging analytics for growth and profitability, and championing the adoption of AI/ML in risk management.
Requirements
- 7+ years of experience in quantitative modeling, risk analytics, or data science, with expertise in credit risk modeling, CECL, and stress testing.
- Proficiency in R, Python, or SAS; experience with AI/ML techniques.
Responsibilities
- Develop, document, and deploy quantitative models for credit risk and capital management (CECL, stress testing, economic capital) and automated credit decision models.
- Communicate complex modeling concepts clearly to technical and non-technical audiences.
- Work across business lines to develop and execute analytics use cases that will drive operational excellence, generate growth opportunities, and/or enhance the customer and employee experience.
- Partner with risk, finance, and business operations to align modeling initiatives with strategic goals.
- Collaborate with business units to identify analytics use cases and opportunities for applying quantitative modeling techniques to address business challenges and opportunities.
- Work with the data team to ensure governance and data quality and to build data pipelines for production models.
- Document model development and testing in accordance with Model Risk Management guidelines.
Other
- Lead and mentor a team of quantitative analysts, fostering growth and technical excellence.
- Set clear goals and ensure alignment with organizational objectives.
- Proven leadership experience managing analytical teams.
- Strong communication skills to translate complex concepts for diverse audiences.
- Ability to influence stakeholders and drive cross-functional collaboration.
