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Credit Risk Modeling Jobs in Minnesota (NOW HIRING)

Director of Business Intelligence

Hopkins, MN ยท 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 ...

New

... of risk, such as regulatory, reputational, operational and credit risks. * Manages effective ... Live the Values - Role models our values with transparency and courage. * Enable Change - Takes ...

New

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 ...

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 ...

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 ...

Experience in risk assessment. Skills and Knowledge: * Proficient credit analysis and financial modeling skills. * Good written and verbal communication abilities. * Ability to manage multiple ...

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Credit Risk Modeling information

What is a Credit Risk Modeling job?

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 key skills and qualifications needed to thrive in the Credit Risk Modeling position, and why are they important?

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 typical daily responsibilities for someone working 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 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 July 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.
Director of Business Intelligence

Director of Business Intelligence

Channel

Hopkins, MN โ€ข On-site

$120K - $150K/yr

Full-time

Posted 3 days ago

New


Job description

Description:

Position Responsibilities

Channel is seeking a Director of Business Intelligence to lead the strategy and delivery of enterprise reporting and analytics. This hands-on role oversees dashboard development, reporting automation, and BI team execution to ensure timely, accurate, and actionable insights across the organization. The Director partners with cross-functional teams and IT to support decision-making, maintain data governance, and ensure reliable data for reporting. This role also supports the Modeling & Analytics team to ensure consistency across analytical outputs.


Key Tasks

  • Enterprise Reporting Leadership: Lead the strategy and delivery of enterprise-wide reporting, ensuring consistent KPIs and actionable insights across all business units.
  • Team Leadership & Development: Lead, mentor, and develop BI Analysts, managing priorities and ensuring timely delivery of high-impact BI initiatives.
  • Cross-Functional Requirements Gathering: Partner with Credit, Risk, Sales, Marketing, Collections, Finance, Operations, and Executive Leadership teams to translate business needs into BI solutions.
  • Data Governance Collaboration: Work closely with IT to support strong data governance, documentation, and data quality practices that enable reliable reporting.
  • Support for Modeling & Analytics: Support the Modeling & Analytics team with data modeling needs to ensure consistency across analytical outputs.
  • Hands-On Dashboard Development: Design and build high-impact Power BI dashboards and reports while guiding the teamโ€™s development standards and best practices.
  • SQL & Data Processing Oversight: Write and optimize SQL queries, oversee data extraction and validation processes, and troubleshooting report pipelines to maintain accuracy and performance.


Requirements:

Skills & Specifications

  • Business Acumen: To understand core business drivers and how data influences strategic decision-making.
  • Leadership & Influence: To guide and influence cross-functional stakeholders.
  • Communication: Ability to explain technical concepts clearly.
  • Analytical Thinking: To identify patterns and understand relationships across datasets.
  • Problem-Solving: Strong capability to diagnose data issues and root causes.
  • Attention to Detail: Precision in validating data and ensuring accuracy in reporting outputs.
  • Advanced SQL Proficiency: To write, optimize, and troubleshoot complex SQL queries.
  • Data Modeling Knowledge: Understanding of dimensional modeling and analytical data design principles.


Education & Qualifications

  • Bachelorโ€™s Degree: In Business Intelligence, Computer Science, Information Systems, Data Analytics, or a related quantitative field.
  • Advanced Experience: 8+ years in BI, analytics, or data strategy roles with demonstrated hands-on technical capability.
  • Leadership Background: 3+ years supervising and managing team workload and priorities.
  • Industry Experience: Financial services or lending experience is preferred
  • Masterโ€™s Degree: A graduate degree in a related field is considered a differentiator.
  • Ability to work onsite out of our Minnetonka, MN, Mount Laurel NJ, or Kennesaw GA office