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Senior Quantitative Risk Analyst

Date: Jun 18, 2021

Location: Enfield, CT, US, 06082

Company: Farm Credit East

Description/Job Summary

Join a team focused on the success of our customers, the success of our communities, and the success of each other. Farm Credit East is the leading provider of loans and financial accounting services to farmers, foresters, fishermen, and agricultural business owners across the northeast with over $8 billion in loan volume and over $28 million in financial accounting service revenue generated annually. When you pursue a career with Farm Credit East, you have the opportunity to positively impact the families and businesses that drive the Northeast economy. For more information, go to FarmCreditEast.com.


As part of the Data Analytics team within the Association’s Technology and Risk functions, the position will entail supporting Farm Credit East's risk modeling, forecasting, and data analytics needs. 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. As the modeling lead, the candidate will be responsible for recommending/supporting modeling approaches and helping ensure modeling tasks are assigned appropriately across the team based on skill set. Strong collaboration and communication skills are essential both to communicating complex concepts to management in a way that is easy to understand, and to facilitating development and knowledge transfer across the modeling and analytics team.




With varying levels of supervision, depending upon the task assigned and experience, this position is accountable for the following:

  • Develop, document, and support the deployment of quantitative models and other analytic tools, focused primarily on capital management modeling (expected credit losses, stress testing, economic capital) and other credit risk models (probability of default, loss given default, loan prepayment, utilization).
  • In collaboration with the Association’s Transformation Office and Digital Strategy initiative, develop, document, and support the deployment of automated credit decision models, marketing models, etc.
  • Provide insight into business risks facing the Association and actionable information to aid in decision making.
  • As assigned, participate in applicable committees, workgroups, or project teams, both within the Association and with key Farm Credit System (FCS) partners. 
  • Contribute to the ongoing development of the modeling and analytics team through technical skills development and knowledge sharing.
  • In collaboration with the Association’s Model Risk Management function, develop and implement sound change controls around production models, develop appropriate model monitoring metrics, and provide model SME input into the model validation process.



Required Education

Bachelor’s Degree in Statistics / Mathematics, Finance Economics, Data Science/Analytics, Computer Science, or related field required.  Advanced degree (Mater’s or PhD), while not required, will be looked upon favorably



Required Experience

5 or more years of experience in any of the following areas preferred:  credit risk modeling, stress testing, data science/analytics, quantitative modeling, or related field within the banking / financial services industry.



Preferred Qualifications

  • Demonstrated knowledge and competency in developing and deploying quantitative models and machine learning models is required, with an emphasis on credit risk modeling.  Expertise in at least one of the following:
    • Developing expected credit loss models and knowledge of the Current Expected Credit Loss (CECL) accounting standard
    • Developing, implementing, and running loan portfolio stress testing models.  Familiarity with DFAST or CCAR supervisory stress testing regulations
    • Developing and implementing credit decision models, scorecard models, or the equivalent
  • Experience writing model code in various programming languages (R, Python, SQL, and/or SAS)
  • Proficiency querying data from a SQL Server database
  • Experience with the Microsoft Azure platform, Databricks, and related tools is a plus
  • Must have an innovative mindset and be willing to challenge the norm in a constructive, professional way
  • Excellent communication (written and oral) and interpersonal skills, as well as leadership skills, with a particular aptitude in communicating complex technical concepts in simpler language for the consumption of management/decision-makers, as well as for the benefit and development of less experienced modeling staff
  • Experience working with different lines of business to accomplish modeling and data solutions by translating business requirements into data needs/techniques

Farm Credit East is an Equal Opportunity Employer. As an Equal Opportunity Employer, we do not discriminate on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, age, marital status, disability status, protected veteran status, genetic information or any other status protected by federal, state or local law. It is our goal to make employment decisions that further the principle of equal employment opportunity by utilizing objective standards based upon an individual's qualifications for a specific job opening. In compliance with the Americans with Disabilities Act (“ADA”), if you have a disability and would like a reasonable accommodation in order to apply for a position with Farm Credit East, please call 1-800-562-2235 or e-mail info@farmcreditcareers.com.

Nearest Major Market: Hartford