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Credit Risk Modeling Jobs in Minnesota (NOW HIRING)

... credit risk, and capital-monitor key metrics like duration gaps and cash flow mismatches, and ... Develop, maintain, and improve financial and risk models and ad hoc analysis to understand ...

... Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at ... Build and deploy machine learning models using R, Python, SAS, and SQL. * Develop cloud-based ...

Credit Senior Process Analyst

Wayzata, MN ยท On-site

$97K - $125K/yr

... risk management and enabling future-state processes that support automation and AI. With minimal ... Leads process modeling to design future state business processes that are fit for purpose by ...

Sr Product Mgr II

Minneapolis, MN ยท On-site +1

$132K - $174K/yr

... Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at ... Is fluent in modeling and analytics concepts, including model performance, productization, and how ...

$15.75 - $21.25/hr

... credit risk. You will receive accelerated learning and skill development through a mix of on-the ... Potential for a fulltime offer upon graduation into a development program Working model and hours:

Portfolio Manager II

Roseville, MN ยท On-site

$93K - $115K/yr

Recommend and model appropriate loan structure for expanding relationships. * Ensure all ... Review of credit risk rating and borrower/guarantor analysis. * Ability to assess changes, clearly ...

Showing results 41-60

Credit Risk Modeling information

What is credit risk modeling?

A Credit Risk Modeling job involves developing statistical models and analytical techniques to assess the credit risk of individuals or businesses. Professionals in this role analyze financial data, borrower behavior, and economic trends to predict the likelihood of default and assist in making informed lending decisions. They use techniques such as logistic regression, machine learning, and Monte Carlo simulations to quantify risk. Credit risk modelers work closely with risk management teams, regulators, and financial institutions to ensure compliance with industry standards. Their insights help optimize loan approvals, set credit limits, and manage overall portfolio risk.

What are the typical daily responsibilities in credit risk modeling?

Professionals in Credit Risk Modeling spend their days developing and validating statistical models to assess the likelihood of credit defaults, analyzing large data sets to identify risk factors, and compiling detailed reports on their findings. They collaborate closely with data scientists, underwriters, credit analysts, and sometimes regulatory teams to ensure models meet business and compliance standards. Additionally, they often participate in meetings to discuss portfolio performance or proposed policy changes. This role involves a balance of technical analysis, documentation, and cross-functional communication, making it dynamic and integral to financial decision-making.

What are the key skills and qualifications needed to thrive in credit risk modeling?

To thrive in Credit Risk Modeling, you need strong analytical skills, proficiency in statistics and finance, and typically a degree in mathematics, statistics, economics, or a related field. Familiarity with programming languages like Python, R, or SAS, as well as experience using statistical modeling software and risk management platforms, are highly valued. Excellent communication, critical thinking, and collaborative abilities help translate complex data insights for stakeholders and work effectively within cross-functional teams. These skills are crucial for designing accurate risk models that inform sound lending decisions and maintain financial stability for organizations.

What are popular job titles related to Credit Risk Modeling jobs in Minnesota?

For Credit Risk Modeling jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Credit Risk Modeling jobs in Minnesota look for?

The top searched job categories for Credit Risk Modeling jobs in Minnesota are:

Infographic showing various Credit Risk Modeling job openings in Minnesota as of September 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 85% In-person, 7% Hybrid, and 8% Remote job distribution.

Senior Credit Strategy Analyst

Minneapolis, MN โ€ข On-site

Full-time

Medical, Retirement, PTO

Posted 24 days ago


Job description

Mikinok Enterprises has revolutionized the emergency loan market by using sophisticated machine learning (artificial intelligence) and big data to detect fraud and predict payback.

We’re looking for a Senior Credit Strategy Analyst to drive credit strategies for Mikinok’s subprime consumer lending portfolio.  This role is critical to balancing growth, profitability, and losses in a fast-moving environment.  You’ll lead strategy development projects from marketing and underwriting through collections and recovery. This is a high-autonomy, high-ownership role where you'll design experiments, build analytical frameworks that drive multi-million-dollar decisions, and see your work move from hypothesis to production in weeks, not quarters.

You’ll partner closely with Data Science, Engineering, Project Management, and Operations teams to translate insight into scalable credit strategies that materially impact portfolio performance

In this role, you will...

  • Design, implement, and optimize strategies spanning recovery, underwriting, model monitoring, fraud, loan sizing/terms, and — especially — marketing, where disciplined segmentation and treatment testing directly move the bottom line
  • Own policy development and changes including testing, rollout, and post-implementation monitoring
  • Analyze portfolio performance using SQL/Python and BI to OLS to identify trends, risks, and opportunities within key metrics
    • Cost for new account originated 
    • Default rates, Delinquency rates
    • Loss rates and unit economics
    • Repeat behavior and churn 
  • Recommend proactive strategy adjustments based on identified emerging risks and upsides.  
  • Build and evaluate test-and-learn experiments (A/B tests, DOE) across the customer life-cycle by isolating causal drivers of loss, delinquency, and recovery rates to control downside risk
  • Partner with Data Science on model development, performance assessments, and model-strategy alignment across customer life-cycle 
  • Translate technical findings into clear recommendations for senior leadership and present at company-wide quarterly business reviews (QBR)
  • Mentor junior analysts and help establish best practice in data analytics for credit team

Requirements

Mandatory Qualifications

  • Bachelor's Degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school.
  • Elite quantitative & analytical skills.  Proven ability to drive analytical projects and insights (3+ years experience)
  • Strong proficiency in SQL and/or experience using Python for analysis (3+ years)
  • Experience using advanced Microsoft Excel or Google Sheets analytics tools (spreadsheet formulas, pivot tables, statistical add-ins, VBA, data management and merging tools) (2+ years)
  • Demonstrated experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools.
  • Ability to work in a fast-paced, collaborative environment
  • Strong interpersonal, leadership, and communication skills

Please Note: We are interested in every qualified candidate who is authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Desired Qualifications

  • Advanced degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school.
  • 5+ years of experience in complex, data-driven problem solving ideally within financial services or consulting or credit bureau 
  • Hands-on experience with credit bureau, alternative data, lead generation, and behavioral performance data
  • Deep understanding of sub-prime credit dynamics including volatility, adverse selection, and risk layering
  • Exposure to marketing strategy or optimization 

Benefits

  • The opportunity to help bring much-needed income and economic development to the Turtle Mountain Band of Chippewa Indians
  • Competitive salary and bonus structure
  • Generous employee benefits plan, including robust healthcare plans, matching 401K, and four weeks of PTO
  • Company-sponsored professional development and training opportunities 

About the Company

Mikinok Enterprises (d/b/a Spotloan) is a leading online direct lender founded in 2012 that utilizes advanced underwriting technology to provide short-term loans to Americans in need. Mikinok is wholly owned and operated by the Turtle Mountain Band of Chippewa Indians of North Dakota, a Federally-recognized Native American Tribe (the “Tribe”).  


Mikinok Enterprises is an integral part of the Tribe’s economic development efforts, and it is an essential provider of employment opportunities on the Tribe’s reservation.  Employment decisions at Mikinok are based on qualifications, ability, and merit.  When qualifications are equal, candidates who are enrolled members of the Tribe will receive preference.  After considering this preference, it is Mikinok’s policy to provide equal employment opportunity to all qualified persons without regard to race, color, religion, sexual orientation, age, disability, or national origin.