Prin Credit Decisioning Strategist

Compeer Financial • Lakeville, MN

20h • Hybrid

About The Position

Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. They bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. The company fosters a culture that promotes meaningful work, professional development, a flexible, hybrid work environment, and excellent benefits. This position is responsible for developing, optimizing, and maintaining credit decision strategies to support the organization's lending goals while mitigating risk. The incumbent leverages data analytics, predictive modeling, and industry insights to create robust credit strategies that ensure responsible lending practices, enhance client experience, and drive business growth. The role also leads the development and evolution of automated credit decisioning, including the application of machine learning and artificial intelligence.

Requirements

• Bachelor’s degree in business, computer science, information systems, mathematics, statistics, economics or related field or an equivalent combination of education and experience sufficient to perform the essential functions of the job.
• Minimum 12 years of experience in credit risk management or credit decision modeling or advanced decision analytics.
• Minimum 5 years of specialized experience managing credit decisioning engine platforms.
• Expert expertise in credit risk management and automated lending decision frameworks.
• Expert expertise in credit decision engine platforms, including rule development, workflow design, and system optimization.
• Proven ability to design and implement end-to-end credit decisioning strategies, including integration of predictive models into production environments.
• Strong understanding of model governance, validation, and regulatory considerations (e.g., fair lending, explainability).
• Experience leveraging diverse data sources, including credit bureau and alternative data, within enterprise data ecosystems.
• Demonstrated ability to monitor, evaluate, and continuously optimize credit strategies using data-driven insights and testing methodologies.
• Strong business acumen with the ability to balance risk, growth, and client experience objectives.
• Demonstrated ability to influence cross-functional stakeholders and communicate complex analytical concepts to both technical and non-technical audiences.

Nice To Haves

• Master’s degree, preferred.
• Experience with analytical tools (e.g., Python, SQL) preferred.
• FICO preferred (for credit decision engine platforms)

Responsibilities

• Collaborates across the organization to ensure credit decision strategies align with broader organizational objectives and client needs.
• Facilitates communication across departments to ensure consistency and clarity in implementing automated lending strategies.
• Communicates strategic vision, roadmap, and progress updates to senior leadership and executives, highlighting how credit decision strategies support business growth and innovation.
• Develops presentations and reports that translate complex analytics and strategy outcomes into actionable insights for decision-makers.
• Leads discussions with stakeholders about emerging trends in automated lending, machine learning, and artificial intelligence, advocating for forward-thinking approaches to credit decisioning.
• Establishes feedback loops with stakeholders (e.g., underwriting teams, client service, sales) to gather insights on the performance and impact of credit decision strategies.
• Evaluates and manages relationships with external vendors and partners (e.g., credit bureaus, alternative data providers, decisioning platform providers) to ensure smooth integration and optimization of third-party tools and data sources.
• Develops and maintains a strategic roadmap for the evolution of automated credit decisioning processes, focusing on scalability, efficiency, and innovation.
• Identifies opportunities to integrate machine learning models into credit decision strategies to improve predictive accuracy, automate processes, and reduce manual intervention.
• Leverages artificial intelligence to explore advanced data patterns, enabling more personalized and dynamic credit strategies.
• Continuously evaluates emerging technologies, industry trends, and competitive practices to ensure the organization remains up-to-date with automated lending innovation.
• Works closely with analytics, credit, and business technology teams to design and implement AI-driven solutions that enhance decisioning capabilities.
• Develops and test new credit decision prototypes, leveraging advanced analytics and machine learning algorithms.
• Serves as a thought leader within the organization, advocating for data-driven, forward-thinking approaches to credit strategy development and automated lending processes.
• Translates credit decision strategies into actionable rules and logic within decision engines, ensuring alignment with business objectives, regulatory requirements, and risk appetite.
• Designs and implements automated workflows within decision engines to reduce manual intervention and improve operational efficiency.
• Collaborates with analytics team to incorporate machine learning models into the decision engine, enabling dynamic and adaptive decisioning based on real-time data inputs.
• Continuously refines decisioning rules, scorecards, and thresholds to maximize predictive accuracy, minimize default rates, and enhance client approval processes.
• Develops and implements monitoring frameworks to track decision engine performance, identify anomalies, and ensure consistent results across all credit products and segments.
• Designs decision engine processes to be scalable and adaptable to new products or markets, ensuring long-term sustainability of automated lending operations.
• Partners with business technology teams to optimize decision engine infrastructure, ensuring seamless integration with data pipelines, underwriting systems, and other platforms.
• Regularly evaluates the performance of existing credit decision strategies, identifying areas for optimization to improve accuracy, efficiency, and client satisfaction.
• Incorporates lessons learned from past initiatives, portfolio trends, and market conditions to refine strategies and adapt to changing business needs.
• Stays abreast of advancements in machine learning, artificial intelligence, and data analytics tools, proactively identifying opportunities to enhance credit decisioning processes.
• Uses advanced data analytics and real-time insights to continuously improve credit decisioning strategies, such as refining scorecards, optimizing rules, and updating risk thresholds.
• Future-proofs decisioning systems by designing adaptable strategies that can evolve with technological advancements and shifting client expectations.
• Conducts regular post-implementation reviews of credit decision strategies and system updates to evaluate their success and identify improvement opportunities.
• Researches and incorporates alternative data sources (e.g., payment history, utility bills) to expand credit decisioning capabilities.

Benefits

• Hybrid model – up to 50% work from home
• Flexible schedules including ample flexibility in the summer months
• Up to 9% towards 401k (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
• Mentorship programs
• Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.)
• Professional membership/certification reimbursement and more!

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Number of Employees: 501-1,000 employees