ZipRecruiter

Log In

1

Credit Risk Modeling Jobs in Minnesota (NOW HIRING)

RELX

Data Scientist

Minneapolis, MN · On-site

$77K - $128K/yr

... 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 ...

Channel

Partner with Credit, Risk, Sales, Marketing, Collections, Finance, Operations, and Executive ... Support the Modeling & Analytics team with data modeling needs to ensure consistency across ...

Channel

Director of Business Intelligence

Hopkins, MN · On-site

$120K - $150K/yr

Partner with Credit, Risk, Sales, Marketing, Collections, Finance, Operations, and Executive ... Support the Modeling & Analytics team with data modeling needs to ensure consistency across ...

Tri Counties Bank

Portfolio Manager II

Roseville, MN · On-site

$93 - $115/hr

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 ...

New

US Bank

Platform Manager

Saint Paul, MN · On-site

Operates in an agile operating model delivering agility at scale, innovation, operational ... and credit risk associated with FX transactions. - Regulatory Knowledge in FX space including ...

previous page

Showing results 41-60

All JobsCredit Risk Modeling JobsCredit Risk Modeling Jobs in Minnesota

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:

Credit Risk Modeling jobs near you
Infographic showing various Credit Risk Modeling job openings in Minnesota as of August 2026, with employment types broken down into 82% Full Time, 16% Part Time, 1% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Data Scientist

RELX

Minneapolis, MN • On-site

$77K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

About the Business:

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com

About our Team:

The Analytic Customer Management team at LexisNexis Risk Solutions delivers actionable insights that fuel product growth. We respond to client needs, conduct both proactive and reactive analyses, and present findings that help uncover new opportunities. It's a fast-paced, problem-solving environment where each day brings fresh challenges and meaningful impact.

About the Role:

We're seeking a Data Scientist to lead predictive modeling and statistical analysis across domains such as risk and fraud. The ideal candidate will bring strong expertise in data mining and analytics to deliver impactful insights and scalable solutions.

Responsibilities

  • Build and deploy machine learning models using R, Python, SAS, and SQL.

  • Develop cloud-based analytic solutions and integrate them into enterprise systems.

  • Analyze large datasets to uncover insights and support product development.

  • Collaborate with stakeholders to validate scoring code and ensure model accuracy.

  • Document methodologies and follow best practices in statistical modeling.

Requirements

  • Computer Science, Statistics, Mathematics, or related field

  • Experience in predictive modeling.

  • Proficiency in SAS, R, Python, and Big Data technologies.

  • Strong communication skills and ability to work cross-functionally.

  • Fraud analytics experience is a plus.

Working for you

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits

  • Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan

  • Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs

  • Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity

  • Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits

  • Health Savings, Health Care, Dependent Care and Commuter Spending Accounts

  • In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

Learn more about the LexisNexis Risk team and our culture here.

The salary range provided in this posting is the base salary range for Minnesota:$77,300.00 - $128,700.00

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Formor please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers:

EEO Know Your Rights.

Apply