Quantitative Risk Analyst

Select how often (in days) to receive an alert:

Join a team focused on the success of our customers, the success of our communities, and the success of each other. Farm Credit East (FCE) is the leading provider of loans and farm advisory services to farm, forest product, fishing, and other agricultural business owners across the northeast with $14 billion in total loan volume and $29 million in annual financial services revenue from 18,000 customers across our 8-state territory.

We are One Team Working Together with a focus on our five pillars:
Outstanding Customer and Employee Experience, Quality Growth, Operational Excellence, Commitment to our Communities, and Protecting Customer Information.

The Quantitative Risk Analyst
, you will be a key contributor to Farm Credit East's risk modeling, forecasting, and decision modeling efforts. The successful candidate will utilize quantitative and qualitative modeling techniques, statistical analyses, and various analytics tools to provide actionable information to aid in decision making.

The value drivers for this role are as follows:

• Strategic Modeling:
  Develop and maintain robust risk models and forecasts that inform decisions by the Executive Leadership Team and Board.
• Data-Driven Growth:
  Partner with business lines to leverage analytics for growth, profitability, and operational excellence.
• Innovation:
  Champion the responsible adoption of AI and machine learning in risk management and analytics processes.

Come join a collaborative, customer-focused team at Farm Credit East!

• 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.
• Represent model development during internal and/or external model validations and audits.
• Oversee the implementation and monitoring of models in production environments.
• Develop and implement sound change controls around production models and develop appropriate model monitoring metrics.

• Bachelor's degree in quantitative field such as Mathematics, Statistics, Economics, Finance, or related discipline. Advanced degree (Master’s or PhD), while not required, will be looked upon favorably.
• 3+ years of experience in quantitative modeling, risk analytics, or data science, with a strong background in credit risk modeling, CECL, and stress testing.
• Proficiency in R, Python, or SAS; experience with AI/ML techniques.
• Strong communication skills to translate complex concepts for diverse audiences.
• Ability to influence stakeholders and drive cross-functional collaboration.
• We offer hybrid work options after two weeks of employment with Farm Credit East. Hybrid work options are determined based on job role and balancing the needs of the customers, the team, and individual work performance. This will be reviewed based on manager discretion.

• Salary Range: $75,000 to $125,000 commensurate with experience
• Short-Term Incentive to reward business results
• Retirement Contributions
  • 401k match up to 6% of salary;or for those unable to take full advantage of the 401(k) match, verified student loan payments may qualify for an employer match in your 401(k) up to 6% of salary
  • Defined Contribution retirement plan funded at 2-9% of salary…