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

The position is expected work with data vendors such as Credit bureaus to obtain and validate ... scientific or financial background * Excellent written and verbal communication skills

You will analyze financial data, evaluate risk factors, prepare credit memo write-ups, and provide recommendations regarding credit decisions. You will also review existing loans for financial ...

Analytics Scientist

Dearborn, MI · On-site +1

$130K - $169K/yr

... in credit risk analysis. We are offering a salary of $130,880.52 - $169,537.56/yr. You may not ... Extract data from various data sources and platforms (big data platform, GCP, PC, Mainframe, Unix ...

Data Management Manager

Dearborn, MI · Hybrid

$141K - $268K/yr

... Credit risk management organization. You'll have... * Advanced graduate degree in quantitative sciences or related area * A minimum of 15-years of experience in data analysis and modeling with ...

Credit

Southfield, MI · On-site

$60K - $70K/yr

... data accuracy, and driving effective receivables management. This role ensures proper customer setup, credit risk oversight, and timely financial reporting while serving as a key liaison between ...

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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 Jul 9, 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.

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 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 are the key skills and qualifications needed to thrive as a Credit Risk Data Scientist, and why are they important?

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.
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 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:
Risk Manager I (US)

Risk Manager I (US)

Td

Southfield, MI

$91K - $136K/yr

Full-time

Medical, Retirement, PTO

Posted 22 days ago


Job description

Work Location:

Southfield, Michigan, United States of America

Hours:

40

Pay Details:

$91,000 - $136,000 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Line of Business:

Risk Management

Job Description:

The Risk Manager I manages the creation, implementation and validation of various risk segmentation strategies including, but not limited to: adjudication, account management, exposure management, risk segmentation, and financial return optimization. This job provides critical information, interpretative, and detailed analysis, and deploys critical credit risk rational strategies that ensure the decisions are made within the TD risk appetite and adhere to all governmental requirements and guidelines. The Risk Manager I's primary accountability is providing a comprehensive and diverse range of risk management expertise. The Risk Manager I investigates, creates, implements and validates various risk segmentation strategies and policies using complex data, advanced analytical approach, and business intelligence tools.

Strategy
The position is expected to have strong statistical and mathematical background with in-depth Auto Origination experience, thorough understanding of scorecard and statistical model mechanism in the context of usage in Auto Acquisition and Pricing Strategy, proficient in using Analytical software of SAS, R, Python, etc;
The role is expected to work closely with stakeholders to support origination optimization design and implementation; evaluate and improve statistical models throughout origination process and pricing strategy; Validate and enhance strategy structure such as Credit Tier to meet business goals; quantify business impact upon strategy/statistical tool changes.

2. Alt. Data Exploration/Strategy Segmentation Enhancement
The role is expected to have strong statistical and mathematical background with in-depth Auto Lending experience; thorough knowledge of Regression, Decision Trees, Clustering, Survival Analysis, GLM, machine learning, familiar with Bureau data attributes and tools such as Trans Union, Experian Sandbox (Premiers, Trended Data, Clarity, etc), advanced in using Analytical software of SAS,R, Python, etc; experience with dealing big data.

The position is expected work with data vendors such as Credit bureaus to obtain and validate varieties of risk data, apply mathematical methodologies to explore opportunities of utilizing both traditional and alternative information on statistical tools/strategies for potential enhancement throughout credit life cycle; enhance origination strategy structure such as Credit Tier to help meet business goals; work closely with stakeholders and vendor to support origination optimization design and implementation.

Depth & Scope:

  • Demonstrates governance, control and risk management behaviors in alignment with TD policies and practices
  • Leads/participates in the identification, development and implementation of new initiatives, operating workflow, additional services/applications or operational efficiencies including potentially leading special project teams or cross functional work groups
  • Assists with developing and enhancing credit risk assessment capabilities to identify and maintain good business opportunities with new and existing clients
  • Performs detailed analysis and interprets information to make recommendations to Senior Management on critical strategies including non-standard and ad-hoc requests as determined by management
  • Creates reports on the results of implemented strategies, using all appropriate quantitative methods and MIS, and makes recommendations to increase efficiencies and revenue while managing credit risk and produce those reports on a regular basis
  • Effectively works cross-functionally with teams outside of risk
  • Works with Internal Audit / External Regulators, to ensure that documentation for all work processes is complete and up-to-date
  • Ensures sound credit control by taking a pro-active approach to risk management within the risk guidelines of the Bank
  • Ensures the timely communication of issues that are relevant to the team and encourages a good working relationship with other internal and external groups

Education & Experience:

  • Bachelor's degree required; Graduate degree preferred
  • 5+ years' experience required
  • Proficient PC skills including a strong competency in MS Excel and PowerPoint, and a variety of PC-based analytical and reporting software packages
  • Experience with the use of Relational Databases and the process of Extract Transform Load (ETL) using common languages such as SQL or SAS
  • Familiar with various analytical or reporting tools, such as SAS, R, Matlab Tableau, etc.
  • Strong analytical and problem solving skills are required to interpret data and draw conclusions
  • Experience in data modeling and risk management either from a business administration, statistical, mathematical, scientific or financial background
  • Excellent written and verbal communication skills
  • Experienced in developing and presenting recommendations to Senior Management

Physical Requirements:

Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%

  • Domestic Travel - Occasional
  • International Travel - Occasional
  • Performing sedentary work - Frequent
  • Performing multiple tasks - Continuous
  • Operating standard office equipment - Continuous
  • Responding quickly to sounds - Frequent
  • Sitting - Continuous
  • Standing - Occasional
  • Walking - Occasional
  • Moving safely in confined spaces - Occasional
  • Lifting/Carrying (under 25 lbs.) - Occasional
  • Lifting/Carrying (over 25 lbs.) - Occasional
  • Squatting - Occasional
  • Bending - Occasional
  • Kneeling - Occasional
  • Crawling - Never
  • Climbing - Never
  • Reaching overhead - Occasional
  • Reaching forward - Occasional
  • Pushing - Occasional
  • Pulling -Occasional
  • Twisting - Occasional
  • Concentrating for long periods of time - Continuous
  • Applying common sense to deal with problems involving standardized situations - Continuous
  • Reading, writing and comprehending instructions - Continuous
  • Adding, subtracting, multiplying and dividing - Frequent

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package


Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more

Additional Information:
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
Colleague Development

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
Interview Process
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.

If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at USWAPTDO@td.com. Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.