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

PNC Bank

Commercial Credit Director

Chicago, IL · On-site

$143K - $297K/yr

Leads strategic discussions in committees (Credit Risk, Data Governance etc.); reviews validation outputs on data produced and delivered. Has final approval authority on an obligor's risk rating.

PayPal

Sr Data Scientist

Chicago, IL · On-site

Drive best practices in data science. * Ensure data quality and integrity in all processes ... Work closely with Stakeholders: this includes Credit Risk, Product,finance teams to optimize fraud ...

PayPal, Inc.

Sr Data Scientist

Chicago, IL · On-site

Drive best practices in data science. * Ensure data quality and integrity in all processes ... Credit Risk, Product, finance teams to optimize fraud strategies and portfolio performance. • ...

CIBC

Credit Monitoring & Control Specialist

Chicago, IL · Hybrid

$70K - $85K/yr

Conduct quarterly/monthly reviews of one or more key Credit Risk data elements. * Provide support to other functions within the Credit Risk Management/ Risk Analytics Department. * Solve a range of ...

CIBC US

Credit Monitoring & Control Specialist

Chicago, IL · Hybrid

$70K - $85K/yr

Conduct quarterly/monthly reviews of one or more key Credit Risk data elements. * Provide support to other functions within the Credit Risk Management/ Risk Analytics Department. * Solve a range of ...

Chase

Environmental Credit Risk Sr Officer

Chicago, IL · On-site

Environmental Credit Risk Associate Bring your expertise to JPMorganChase. As part of Risk ... Bachelor's degree or equivalent education in environmental sciences or related fields, and may hold ...

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Showing results 21-40

All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Oak Brook, IL

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 7, 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:
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Credit Risk Data Science jobs near you

Data Scientist - Pricing & Profitability (Hybrid)

Enova International

Chicago, IL • On-site, Remote

$87K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Enova International rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.
About the role:
We are seeking a talented Data Scientist to join our Pricing and Profitability team, a critical unit within our Data Science & Credit Risk department. This team is at the heart of our business operations, ensuring that our lending decisions not only meet our risk management standards but also maximize our company's profitability. You will play a pivotal role in shaping our lending strategies, balancing risk and reward to drive our mission forward.
You will independently dive into open-ended problems in order to present recommendations to executives and actively manage the pricing and credit models that power Enova's business. You will be responsible for proactively identifying trends in financial performance to improve these models.
Your work will be wide-ranging and impactful, exposing you to adjacent operations and stakeholders in the fields of credit operations, capital markets, financial planning and analysis, marketing, and sales. You will collaborate with these internal stakeholders and use modeling and analysis to present a clear and cohesive vision for the financial impact of their own initiatives.
Key responsibilities:
  • Develop and refine models to optimize pricing strategies across various customer segments, ensuring alignment with our company's risk appetite and return objectives
  • Collaborate closely with the Credit Risk Modeling team to understand our proprietary risk models, and incorporate them effectively into profitability models
  • Design and implement A/B testing frameworks to evaluate the performance of pricing strategies, analyzing outcomes to drive continuous improvement
  • Communicate insights and recommendations to senior management, providing a data-driven perspective on pricing and product development strategies

Requirements:
  • Degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field
  • 2+ years of experience in Data Science, Analytics or related field
  • Proficient programming skills with Python and the ability to write customized programs for meaningful data analysis
  • Experience working with relational databases, such as SQL
  • Excellent knowledge in applied statistical methods and machine learning models
  • Strong problem-solving skills and the ability to work independently in a fast-paced, dynamic environment

Compensation:
The budgeted annual salary range for this position is$87,000 to $110,000 Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here.
Benefits & Perks:
  • Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results.
  • Health, dental, and vision insurance including mental health benefits
  • 401(k) matching plus a roth option (U.S. Based employees only)
  • PTO & paid holidays off
  • Sabbatical program (for eligible roles)
  • Summer hours (for eligible roles)
  • Paid parental leave
  • DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova)
  • Employee recognition and rewards program
  • Charitable matching and a paid volunteer day...Plus so much more!

About Enova
Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks-in order to create accessible credit for millions.
Being a values-driven organization is at the core of Enova's success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova's values and culture here.
It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.

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