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Credit Risk Data Science Jobs in Oak Brook, IL (NOW HIRING)

Credit Risk Analyst

Chicago, IL ยท On-site

$100K - $130K/yr

This is Adyen Adyen provides payments, data, and financial products in a single solution for ... Credit Risk Analyst - Financial Products As a Credit Risk Analyst based in Chicago, you will be ...

Senior Credit Risk Analyst

Chicago, IL ยท On-site

$84K - $131K/yr

Review relevant data to identify the quantitative and qualitative factors driving the credit risk ... Science or Related * Minimum - 3 Years Experience in credit risk analytics within financial ...

DV is looking for a Credit Risk Analyst to lead its counterparty and credit risk management ... Strong proficiency in Microsoft Office Suite, SQL, Python, data visualization tools * Excellent ...

Credit Risk Analyst

Chicago, IL ยท Hybrid

$100K - $130K/yr

This is Adyen Adyen provides payments, data, and financial products in a single solution for ... Credit Risk Analyst - Financial Products As a Credit Risk Analyst based in Chicago, you will be ...

Credit Risk Analyst

Chicago, IL ยท On-site

$150K - $200K/yr

DV is looking for a Credit Risk Analyst to lead its counterparty and credit risk management ... Strong proficiency in Microsoft Office Suite, SQL, Python, data visualization tools * Excellent ...

Principal Credit Risk Analyst

Chicago, IL ยท On-site

$119K - $204K/yr

Analyze data to identify the quantitative and qualitative factors driving the credit risk for ... Science or related * Minimum - 6 Years of Analytics, Credit Risk or related In Lieu of Education ...

Credit Risk Analyst

Chicago, IL ยท On-site

$150K - $200K/yr

DV is looking for a Credit Risk Analyst to lead its counterparty and credit risk management ... Strong proficiency in Microsoft Office Suite, SQL, Python, data visualization tools * Excellent ...

Credit Risk Associate

Chicago, IL ยท On-site

$73K - $100K/yr

Utilize AI per policy guidelines, verifying data accuracy * Set up, monitor and maintain counterparty profiles, credit limits, and collateral requirements within RWE Credit Risk systems under ...

Credit Risk Associate

Chicago, IL ยท On-site

$73K - $100K/yr

Utilize AI per policy guidelines, verifying data accuracy * Set up, monitor and maintain counterparty profiles, credit limits, and collateral requirements within RWE Credit Risk systems under ...

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Credit Risk Data Science information

See Oak Brook, IL salary details

$37.3K

$114.9K

$199.3K

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

As of Aug 6, 2026, the average yearly pay for credit risk data science in Oak Brook, IL is $114,932.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,300.00 and $141,800.00 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 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.
What are popular job titles related to Credit Risk Data Science jobs in Oak Brook, IL? For Credit Risk Data Science jobs in Oak Brook, IL, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Oak Brook, IL look for? The top searched job categories for Credit Risk Data Science jobs in Oak Brook, IL are:
What cities near Oak Brook, IL are hiring for Credit Risk Data Science jobs? Cities near Oak Brook, IL with the most Credit Risk Data Science job openings:

Lead Data Analyst, MyPay

Chime Financial, Inc

Chicago, IL โ€ข On-site

Full-time

Medical, Life, PTO

Re-posted 28 days ago


Job description

About the Role
We are looking for a highly analytical and strategic Lead Data Analyst of Credit Risk to lead risk strategy for MyPay, Chime's innovative product that provides members with early access to their earned wages. In this role, you will be the cornerstone of our MyPay risk function, balancing rapid product growth with responsible risk management and loss mitigation.
You will sit at the intersection of credit risk strategy and data science. You will own the underwriting, limit assignment, and loss forecasting strategies for MyPay, leveraging your deep technical expertise to build data-driven solutions. You will also directly manage, mentor, and grow a team of talented Data Analysts to execute on complex analyses and experimentation.
The base salary offered for this role and level of experience will begin at $152,000.00 and up to $210,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
In this role, you can expect to
  • Drive Risk Strategy: Support the end-to-end credit risk lifecycle for the MyPay product, including underwriting policies, dynamic limit assignments, and repayment strategies.
  • Lead Experimentation: Design, execute, and analyze rigorous A/B tests to optimize credit limits, user experience, and risk/reward trade-offs.
  • Leverage Data Science: Utilize advanced statistical modeling and data science techniques to identify new risk signals, improve predictive models, and automate risk decisioning.
  • Cross-Functional Collaboration: Partner closely with Product Management, Engineering, Data Science, and Finance to integrate risk strategies seamlessly into the member experience and align on financial targets.
  • Monitor & Report: Develop robust dashboards and reporting frameworks to track portfolio performance, loss metrics, and the financial health of the MyPay program.
To thrive in this role, you have
  • Experience: 7+ years of experience in credit risk, data science, or advanced analytics, preferably within consumer lending, fintech, or earned wage access (EWA).
  • Technical Expertise: * Expert-level proficiency in SQL for complex data extraction and manipulation.
    • Strong programming skills in Python (Pandas, NumPy, Scikit-learn) for data analysis and predictive modeling.
  • Experimentation Mastery: Deep hands-on experience designing, launching, and analyzing A/B tests and multivariate experiments, with a strong grasp of underlying statistical concepts.
  • Domain Knowledge: Solid understanding of consumer credit risk principles, loss forecasting, and unit economics.
  • Communication: Exceptional ability to translate complex data and technical concepts into actionable, high-level strategies for executive stakeholders.

#LI-EI1 #LI-Onsite
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime-a financial technology company, not a bank*-on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust-so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall-our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't-who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
  • Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you're coming in regularly or are part of our fully remote program, you'll stay engaged with your work and teammates.
  • Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees.
  • Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life.
  • Generous vacation policy and company-wide paid days off
  • 1% of your time off to support local community organizations of your choice
  • Annual wellness stipend to use towards eligible wellness related expenses
  • Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
  • Access to family planning reimbursement
  • โ™ฅ A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress

We know that great work can't be done without a diverse team and inclusive environment. That's why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.
To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.