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Credit Risk Data Science Jobs in Lake Forest, IL

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 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 ...

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 ...

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 ...

Transunion

Lead Data Scientist

Chicago, IL

$100K - $160K/yr

... of Data Science & Analytics. The Financial Services Analytics team is an industry recognized ... This position is responsible for developing credit risk management and business intelligence ...

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Showing results 21-40

All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Lake Forest, IL

Credit Risk Data Science information

See Lake Forest, IL salary details

$36.6K

$112.8K

$195.6K

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 Lake Forest, IL is $112,757.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,700.00 and $139,100.00 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 job categories do people searching Credit Risk Data Science jobs in Lake Forest, IL look for? The top searched job categories for Credit Risk Data Science jobs in Lake Forest, IL are:
What cities near Lake Forest, IL are hiring for Credit Risk Data Science jobs? Cities near Lake Forest, IL 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 Lake Forest, IL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $112,757 per year, or $54.2 per hour.

Sr. Risk Analyst, Credit

Federal Home Loan Bank of Chicago

Chicago, IL • On-site, Remote

$110K - $115K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 hours ago

Job description

At the Federal Home Loan Bank of Chicago, employees come first - that's why we offer a highly competitive compensation and bonus package, and access to a comprehensive benefits program designed to meet the needs of our employees.

  • Collaborative, in-office operating model

  • Retirement program (401k and Pension)

  • Medical, dental and vision insurance

  • Lifestyle Spending Account

  • Competitive PTO plan

  • 11 paid holidays per year

      Responsibilities

      • Operate and maintain credit risk models for mortgage loan portfolios
      • Lead the development and implementation of alternative credit risk strategies
      • Build algorithmic solutions and design strategies for model assumption setting and performance monitoring
      • Conduct scenario analysis and stress testing to assess portfolio risks under macroeconomic and climate risk scenarios
      • Research risk management frameworks to assess environmental and regulatory risk drivers on mortgage portfolios in accordance with regulatory requirements and industry best practices and report to senior management
      • Perform credit reviews for member institutions based on financial performance and credit worthiness
      • Collaborate with validators, auditors and regulators to improve model accuracy and ensure regulatory compliance
      • Optimize business processes through the use of data management and programing tools
      • Research, diagnoses and identify solutions to issues on data anomalies and portfolio performance and create dashboards for senior management and risk committees
      • Support business on MPF product design with business analytics

      Position Requirements

      • Master's degree in Mathematics, Finance, Quantitative Finance or related field and 2 years of related experience, or, a Bachelor's degree in Mathematics, Finance, Quantitative Finance or related field and 4 years of related experience
      • Any amount of experience operating and maintaining credit risk models for mortgage loan portfolios
      • Any amount of experience building algorithmic solutions and design strategies for model assumption setting and performance monitoring
      • Any amount of experience conducting scenario analysis and stress testing to assess portfolio risks under macroeconomic and climate risk scenarios
      • Any amount of experience conducting business analysis using statistics methodology and tools of aggregated data from databases via SQL

      Must live within normal commuting distance of worksite. Remote work allowed up to 50 days per year.

      Salary range $110,150 to $115,000

      Salary Range:

      $90,400.00 - $150,700.00

      The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we may also consider your experience, and other job-related factors. In addition to the base salary, we offer a comprehensive benefits package which can be found here: https://hrportal.ehr.com/fhlbc

      Apply