Quantitative Analyst

Locations: IL - Bloomington; MN - Lakeville; MN - Mankato;
Open to any Compeer location

Empowered to live. Inspired to work.

Compeer Financial is a member‑owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally.

• Hybrid model – up to 50% work from home
• Flexible schedules including ample flexibility in the summer months
• Up to 9% toward 401(k) (3% fixed Compeer contribution plus up to 6% match)
• Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short‑term and long‑term disability, wellness program & EAP
• Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off
• Learning and development programs
• Cross‑functional committee opportunities (e.g. Inclusion Council, emerging professional groups, etc.)
• Professional membership/certification reimbursement and more

Casual/seasonal & intern team members are not eligible for benefits except for state‑mandated programs.

This position develops, organizes, and maintains models to support business insights and strategic decision‑making across the organization. It applies advanced analytic methodologies within an integrated stress‑testing framework, economic capital model (credit, market and operational risk), expected credit loss model, and scenario‑based forecasts, and evaluates other business‑related statistical relationships. It uses quantitative methods to research modeling methodology for the development, refinement and parameter updates for a risk/reward‑based framework.

• Examines large data sets to identify patterns, anomalies, relationships and trends. Conducts ad‑hoc research and analysis.
• Utilizes analytic tools (e.g. SAS, SQL), data query tools to build, test, evaluate, organize and analyze large, diverse and imperfect data sets.
• Develops data structures to support the generation of business insights and strategy and translate data findings into actionable recommendations and improvements.
• Gathers and analyzes data from multiple internal and external sources to identify trends and predict responses.
• Continuously evaluates industry trends for opportunities to utilize new technologies and data sources and recommends strategies to implement these enhancements in the data environment.
• Conducts complex analytical studies with collaborative help from others, develops advanced quantitative models, and makes strategic recommendations to improve performance, drive cost savings and revenue growth, and maximize profits in support of operational, risk, credit, retention, sales and marketing effectiveness.
• Supports the model development process for internal business clients from conceptualization through data exploration and implementation, translating results into meaningful solutions.
• Works with new and existing third‑party vendors to implement, validate, and maintain decision models.
• Leverages traditional quantitative approaches such as regression, decision trees, clustering, etc., as well as progressive techniques to solve business problems.
• Conducts statistical and economic analysis to understand key drivers impacting the financial and risk position of the organization.
• Works with model owners to conduct internal model validations following regulatory guidance and industry best practice. Documents validation processes and results.
• Conducts back‑testing and validation activities and provides data analysis to support assumptions and mitigate limitations.

• Bachelor’s degree in computer science, information systems, mathematics, statistics, econometrics or related field, or an equivalent combination of education and experience sufficient to perform the essential functions of the job.
• Minimum of 3 years of experience in risk management modeling or advanced analytics and in‑depth model…