Credit Risk Analyst

Bluechip Financial - Minneapolis, MN

Full-time - Mid Level

Minneapolis, MN

Credit Intermediation and Related Activities

About the position

BlueChip Financial is seeking a Credit Risk Analyst to enhance its advanced lending platform through data analysis and machine learning. The role involves collaborating with various teams to provide analytical insights that support business performance and growth in the consumer loan portfolio. The analyst will be pivotal in driving testing and enhancements to optimize lending strategies and ensure robust decision-making within the organization.

Responsibilities

• Analyze, build, test, and implement the advanced lending platform.
• Work closely with data scientists to leverage machine learning models for business performance.
• Apply statistical techniques to systematically solve problems.
• Drive analytical projects to optimize financial product design and credit policy.
• Deliver strategic insights to provide business value to BlueChip.
• Coordinate across business functions to maximize value for customers and stakeholders.
• Identify opportunities to execute disciplined growth strategies balancing short-term and long-term profitability.
• Develop reporting to monitor and validate predictive model performance and KPIs over time.

Requirements

• Bachelor's Degree or higher in a quantitative field (mathematics, statistics, engineering, physics, data science, computer science, etc.)
• Ability to work in a fast-paced, collaborative environment
• Elite quantitative analytical skills
• Strong interpersonal, leadership, and communication skills
• Experience with SQL/Python for data analysis.

Nice-to-haves

• Masters or PhD degree in a quantitative field
• 1+ years of experience in a complex, data-driven problem-solving environment
• 1+ years of experience in business analysis
• Experience with sub-prime lending
• Experience with personal loans and lines of credit
• Experience with advanced mathematical/statistical techniques
• Experience with using and implementing statistical models.

Benefits

• Health insurance
• Paid time off
• 401(k) matching
• Competitive salary and bonus structure
• Generous employee benefits plan
• Company-sponsored professional development and training opportunities