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Credit Risk Data Science Jobs in Utica, MI (NOW HIRING)

Deloitte

Cyber Data Protection Manager

Detroit, MI · On-site

$109K - $148K/yr

If so, consider joining Deloitte & Touche LLP's growing Cyber Risk Digital Trust & Privacy practice ... Bachelor's degree in Cybersecurity, Information Security, Engineering, Computer Science ...

FIRST MERCHANTS

Credit Analyst I

Royal Oak, MI

This position will perform credit analysis, underwriting and monitoring of the commercial loan ... Assign call codes, NAICS codes, risk grade and risk rating score data accurately. * Review ...

First Merchants Bank

Credit Analyst I

Royal Oak, MI · On-site

This position will perform credit analysis, underwriting and monitoring of the commercial loan ... Assign call codes, NAICS codes, risk grade and risk rating score data accurately. * Review ...

Pwc

Finance Data, Analytics & AI - Associate

Detroit, MI

$61K - $100K/yr

... Risk Management/Insurance, Science - Utilizing Business Intelligence and Reporting Tools (BIRT) for data-driven insights - Developing data visualization skills with tools like QlikView and Spotfire ...

First Merchant's Bank

Credit Analyst I

Royal Oak, MI · On-site

This position will perform credit analysis, underwriting and monitoring of the commercial loan ... Assign call codes, NAICS codes, risk grade and risk rating score data accurately. * Review ...

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Showing results 41-60

All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Utica, MI

Credit Risk Data Science information

See Utica, MI salary details

$33.8K

$103.9K

$180.2K

How much do credit risk data science jobs pay per year?

As of Sep 14, 2026, the average yearly pay for credit risk data science in Utica, MI is $103,892.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,300.00 and $128,200.00 per year, depending on experience, location, and employer.

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What are popular job titles related to Credit Risk Data Science jobs in Utica, MI?

For Credit Risk Data Science jobs in Utica, MI, the most frequently searched job titles are:

What job categories do people searching Credit Risk Data Science jobs in Utica, MI look for?

The top searched job categories for Credit Risk Data Science jobs in Utica, MI are:

What cities near Utica, MI are hiring for Credit Risk Data Science jobs?

Cities near Utica, MI with the most Credit Risk Data Science job openings:

Credit Risk Data Science jobs near you
Infographic showing various Credit Risk Data Science job openings in Utica, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $103,892 per year, or $49.9 per hour.

Commercial Credit and Operations Manager

Farmington Hills, MI • On-site

Community Choice Credit Union
See more jobs at Community Choice Credit Unionexternal

Full-time

Posted 3 days ago

New

Job description

Commercial Credit and Operations Manager

Sponsorship: This position is not eligible for immigration sponsorship. 

Community Choice Credit Union is seeking an experienced Commercial Credit and Operations Manager to lead the operational activities supporting our small business and commercial lending portfolios. This role is responsible for ensuring efficient, compliant, accurate, and well-documented loan origination, credit analysis, servicing, reporting, and portfolio-management practices—all while delivering an excellent member experience.

In this position, you will lead and develop the Commercial Operations team, oversee credit quality and portfolio reporting, strengthen operational processes, and collaborate with internal and external partners to support sustainable portfolio growth.

What You’ll Do
  • Lead, coach, and develop a knowledgeable, service-focused Commercial Operations team.
  • Oversee commercial credit analysis, including cash-flow calculations, debt-service analysis, risk ratings, and credit packages.
  • Ensure timely completion of annual reviews, financial statement collection, tax monitoring, exception tracking, and SBA reporting.
  • Monitor and report portfolio risk, concentration levels, credit quality, workout loans, and restructures.
  • Maintain compliance with applicable lending regulations, NCUA requirements, and Community Choice’s Member Business Loan Policy.
  • Review monthly and quarterly reporting for accuracy and identify opportunities for improvement.
  • Use data, technology, and AI-supported tools to evaluate portfolio trends, risks, and operational performance.
  • Improve workflows to provide timely, competitive, and member-focused lending processes.
  • Collaborate with Retail, Accounting, Member Solutions, Technology, Marketing, Human Resources, Commercial Alliance, and other business partners.
  • Support cross-referrals and help expand relationships with business members.
  • Review and approve appraisal and environmental orders and maintain appropriate lending authority.
  • Participate in departmental projects, new business initiatives, and mergers as needed.
What You’ll Bring
  • Bachelor’s degree required.
  • Progressive experience in business or commercial lending, lending operations, or a related field.
  • Commercial credit analyst experience.
  • Previous leadership experience with demonstrated success coaching and developing team members.
  • Strong knowledge of financial services, commercial lending products, and applicable state and federal regulations.
  • Excellent analytical, organizational, decision-making, and communication skills.
  • Ability to manage competing priorities while maintaining accuracy and attention to detail.
  • Experience developing business plans, managing budgets, improving processes, and using reporting to drive results.
  • Ability to delegate effectively, promote accountability, and build strong working relationships.

If you are a collaborative leader with strong commercial credit expertise and a passion for improving operations and serving business members, we invite you to apply.

Please review the attached full job description for additional information regarding the role’s responsibilities and qualifications.

Important Message for Applicants: 
To make sure you don’t miss any updates about your application, please check your email spam or junk folder if you don’t see messages from us. We’re excited to connect with you and keep you informed every step of the way!