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

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Data Scientist

Chicago, IL · On-site

Work closely with Stakeholders including Credit Risk, Product, and Engineering teams to optimize ... Master's degree, or foreign equivalent, in Computer Science, Engineering, Management Information ...

Composites One

Senior Credit Analyst

Schaumburg, IL · On-site

$80K - $100K/hr

Evaluate credit risk for new and existing customers using financial statements, D&B, trade references, and industry data * Recommend credit limits, payment terms, and risk classifications within ...

Composites One

Senior Credit Analyst

Schaumburg, IL · On-site

$80K - $100K/yr

Evaluate credit risk for new and existing customers using financial statements, D&B, trade references, and industry data * Recommend credit limits, payment terms, and risk classifications within ...

慨正橡扯

Lead Data Scientist

Chicago, IL · On-site

$100 - $160/hr

... 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 ...

TransUnion

Lead Data Scientist

Chicago, IL · On-site

$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 ...

Transunion

Lead Data Scientist

Chicago, IL · On-site

$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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All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Bartlett, IL

Credit Risk Data Science information

See Bartlett, IL salary details

$36.6K

$112.6K

$195.3K

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

As of Aug 22, 2026, the average yearly pay for credit risk data science in Bartlett, IL is $112,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,600.00 and $139,000.00 per year, depending on experience, location, and employer.

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.

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 cities near Bartlett, IL are hiring for Credit Risk Data Science jobs?

Cities near Bartlett, IL with the most Credit Risk Data Science job openings:

Credit Risk Data Science jobs near you

Senior Data Scientist (Hybrid)

Enova International

Chicago, IL • Hybrid

$96K - $125K/yr

Full-time

Re-posted 17 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:

As a Senior Data Scientist, you will be one of Enova's most valuable team members. You will develop, enhance and test the company's models for use in determining the appropriate lending criteria and verification procedures. You will perform independent model validations to evaluate model fit for purpose, conceptual soundness, mathematical theory and assumptions, data/assumptions, and output reasonableness. At times, you may be asked to conduct ad hoc analysis using statistical and financial tools to recommend for risk management, marketing and operational strategies. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements and support implementation.

Responsibilities:

  • Perform model validation of credit risk models
  • Prepare model validation reports and write technical documentation
  • Assist analysts in validating and preparing their models for production
  • Interact with model stakeholders and business partners to gather information about credit models and risk acceptances
  • Support model releases to ensure they are quickly and accurately put into production
  • Monitor model performance dashboards, build alerts, and escalate concerns as appropriate
  • Support and improve automated model training processes by using data manipulation, and machine learning skills
  • Use your programming skills to develop and test programs for custom tool development

Requirements:

  • Experience in developing advanced credit risk models
  • 5+ years of experience in quantitative analysis in the financial services industry is preferred but not required
  • Knowledge of statistical models in risk management
  • Advanced programming skills in Python and the ability to write customized programs for meaningful data analysis
  • Experience working with relational databases, such as SQL

Compensation:

The budgeted annual salary range for this position is $96,000 to $125,000. 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.

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