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

Avant is adding to our Data Science team! We are looking for a self-driven candidate who is ... Proactively collaborate with Data Engineering, ML Operations, Software Development, Credit Risk ...

Avant is adding to our Data Science team! We are looking for a self-driven candidate who is ... Proactively collaborate with Data Engineering, ML Operations, Software Development, Credit Risk ...

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 ...

... data-driven risk processes that support Adyen's global growth ambitions. The Credit Risk team is in ... an early stage of its journey, offering significant opportunities to shape processes, influence ...

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 ...

... data-driven risk processes that support Adyen's global growth ambitions. The Credit Risk team is in ... an early stage of its journey, offering significant opportunities to shape processes, influence ...

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 Rosemont, IL salary details

$37.3K

$114.8K

$199K

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

As of Jul 10, 2026, the average yearly pay for credit risk data science in Rosemont, IL is $114,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,100.00 and $141,600.00 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 Rosemont, IL? For Credit Risk Data Science jobs in Rosemont, IL, the most frequently searched job titles are:
What cities near Rosemont, IL are hiring for Credit Risk Data Science jobs? Cities near Rosemont, IL with the most Credit Risk Data Science job openings:
Associate, Data Science, Credit Risk

Associate, Data Science, Credit Risk

Avant LLC

Chicago, IL โ€ข On-site

$95K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 23 days ago


Job description

Avant is adding to our Data Science team! We are looking for a self-driven candidate who is passionate about problem solving and interested in making a difference. This person will be a key member of our Data Science team and responsible for the development of numerous kinds of customer lifecycle models. If you are looking for an opportunity to join a great team where you can be yourself, deepen your skills and experiences, and find new areas of inspiration then consider a career at Avant!
What you'll do at Avant:
  • Work with stakeholders throughout the company to identify opportunities for leveraging company data and third-party vendor data to drive business solutions using different modeling techniques
  • Design and build predictive models to enhance customer experience, reduce risk, improve revenue generation, optimize direct mail targeting, and drive key outcomes throughout the customer lifecycle
  • Design and build robust credit risk models, including application scorecards, behavioral models, loss forecasting, and risk-based pricing, to optimize underwriting decisions and drive overall portfolio performance.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
  • Clean, process and validate data to ensure its quality and integrity for modeling and analysis
  • Conduct feature engineering, select appropriate features and develop robust models using various machine learning techniques
  • Perform ad-hoc analysis and present results in a clear manner to senior management. Provide timely and justified recommendations in response to ad-hoc analysis requested by internal groups
  • Proactively collaborate with Data Engineering, ML Operations, Software Development, Credit Risk, Marketing, Legal & Compliance, and other internal groups to implement and monitor models across the customer lifecycle
  • Develop and enhance processes and tools to monitor model performance and input and output data accuracy

Why you're a fit at Avant:
  • Master's or PhD degree in Machine Learning, Computer Science, Statistics, Operations Research or a related STEM fields
  • 2-3 years of professional experience in machine learning or data science within the consumer credit/lending or fintech industry
  • Strong expertise in machine learning theories and practices (Generalized Linear Model, Support Vector Machine, Random Forest, Gradient Boosting, Deep Learning, etc.)
  • Familiarity with Object-Oriented Design (OOD) concept and functional programming with 2+ years experience writing production-level code
  • Proficiency in Python with experience in the end-to-end development of machine learning models. Strong domain expertise and technical knowledge of credit risk modeling
  • Advanced in SQL for querying and analyzing large datasets
  • Excellent communication skills, with the ability to present complex concepts and findings clearly to both technical and non-technical audiences, and effectively collaborate with cross-functional teams
  • Strong analytical, problem-solving and critical-thinking skills, with a keen attention to detail and data integrity
  • Preferred: Experience with ML and data analytics platforms/technologies such as Databricks, AWS (including AI/ML tools) and Looker

If you are a highly motivated and detail-oriented individual with a passion for data and product management, we encourage you to apply for this position.
This role is based on our downtown Chicago Office, located in the Merchandise Mart. We highly value collaboration and our hybrid schedule (M, T, Th in-office) enables flexibility to balance work and individual priorities.
Compensation Range:
The base salary range for this job is USD $95,000 - USD $130,000 / Year
Employees new to Avant typically come in below the midpoint of the pay range. The compensation range is based on the level outlined in the job posting, and compensation decisions are dependent on each applicant's experience, skills and abilities.
[If an outstanding applicant's experience and skill level is above or below the qualifications outlined in the job posting, we reserve the right to make an offer at a different level than the one listed in this job posting, which may have a different compensation range.]
This role is eligible for additional incentives, including an annual bonus. These rewards are allocated based on level, impact and performance in the role.
Our benefits include:
  • Choice of great Medical, Dental, and Vision Insurance Plan options
  • 401(k) match
  • Flexible Time Off
  • Flexible Work Environment - (i.e. Mon/Tues/Thurs in-person)
  • Generous Paid Parental Leave, Adoption Assistance and Post-parental leave ramp-up program
  • Lunch Allowance (Fooda) and In-office Snacks
  • Summer Fridays
  • Fun In-Office and Virtual Social Events
  • And who doesn't love the swag

Check out our Avant Blog!
We believe that a diverse set of backgrounds and experiences helps us create the most innovative solutions for our customers. We invite you to apply to our positions even if you do not meet 100% of the qualifications listed in the description. If you're passionate about our mission and aligned to our values, we hope you'll come contribute to our awesome culture.
Why Avant is the place for you:
At Avant, we believe our values make a difference:
Authenticity. We show up to work as our whole selves and make sure others can too.
Collaboration. We can only succeed when we do so as a team.
Problem-Solving. The harder the problem, the more satisfying the solution.
Customer. We are all owners of the customer experience.
Initiative. Plan. Adapt. Get Sh!t Done.
We believe that great ideas come from anyone and anywhere, that everyone is an owner who drives change, and that we have more fun when we work together. We're problem solvers who love collaborating with intelligent and highly-motivated people to reshape the face of digital banking. Avant offers terrific perks and benefits, fun social events with employees who actually like hanging out together, and a flexible growth environment where trying your hand at new projects and being the active owner of your career path is encouraged and supported.
To learn more about how Avant collects and uses your personal information, please see the Avant Privacy Policy.