1

Credit Risk Developer Jobs in Chicago, IL (NOW HIRING)

Our team has a broad mandate across market, credit, capital, and operational risk. Rather than ... You'll collaborate daily with traders, quantitative researchers, and software engineers while ...

Approximately 3+ years of hands-on experience as a model developer or model validator, specifically within financial services, credit risk, or fraud analytics. * 2+ years of hands-on technical ...

Experienced Risk Manager

Chicago, IL ยท On-site

$150K - $210K/yr

Our team has a broad mandate across market, credit, capital, and operational risk. Rather than ... You'll collaborate daily with traders, quantitative researchers, and software engineers while ...

Lead Data Scientist

Chicago, IL ยท On-site

$100K - $160K/yr

... engineers, and economists. We also have a modern computing environment based on best-in-class "big ... This position is responsible for developing credit risk management and business intelligence ...

Lead Data Scientist

Chicago, IL ยท On-site

$100K - $160K/yr

... engineers, and economists. We also have a modern computing environment based on best-in-class "big ... This position is responsible for developing credit risk management and business intelligence ...

Lead Data Scientist

Chicago, IL ยท On-site

$100K - $160K/yr

... engineers, and economists. We also have a modern computing environment based on best-in-class "big ... This position is responsible for developing credit risk management and business intelligence ...

... engineers, and economists. We also have a modern computing environment based on best-in-class "big ... This position is responsible for developing credit risk management and business intelligence ...

Sr. Business Analyst - US Card

Chicago, IL ยท On-site

$95K - $123K/yr

Credit Risk: Support step-change improvements in credit performance by connecting drivers of future ... engineering, Information Systems or a related quantitative field) * A Master's Degree in a ...

Showing results 41-60

Credit Risk Developer information

What is the difference between Credit Risk Developer vs Credit Analyst?

AspectCredit Risk DeveloperCredit Analyst
Required CredentialsBachelor's in Finance, Economics, or related field; often some programming knowledgeBachelor's in Finance, Economics, or related field; strong analytical skills
Work EnvironmentDevelops risk models, works with data and software toolsAnalyzes credit data, assesses borrower risk, prepares reports
Employer & Industry UsageFinancial institutions, banks, credit agenciesBanks, lending institutions, credit bureaus

While both roles focus on credit, the Credit Risk Developer primarily builds and maintains risk models using programming and data analysis, whereas the Credit Analyst evaluates individual creditworthiness and prepares risk assessments. Both roles are essential in credit decision processes but differ in technical focus and daily tasks.

What is a credit risk developer?

Credit Risk Developers are specialized software developers who design, build, and maintain systems that assess and manage financial risk for lending institutions or investment firms. They create algorithms and tools that analyze credit data, model potential losses, and ensure compliance with regulatory requirements. Their work supports decision-making processes related to lending, underwriting, and portfolio management. Typically, they collaborate closely with risk analysts, data scientists, and financial professionals to develop solutions that improve risk assessment accuracy and efficiency.

How does a credit risk developer typically collaborate with risk analysts and business stakeholders?

A Credit Risk Developer often works closely with risk analysts to understand credit risk models and translate their requirements into robust software solutions. Regular meetings with business stakeholders are common to gather feedback, ensure alignment with regulatory standards, and adapt to changing business needs. This role requires strong communication skills to bridge the gap between technical and non-technical teams, ensuring that risk assessment tools are both accurate and user-friendly.

What are the key skills and qualifications needed to thrive as a credit risk developer?

To thrive as a Credit Risk Developer, you need strong programming skills (such as Python, Java, or C++), a solid background in mathematics or finance, and experience with credit risk modeling. Familiarity with risk management systems, statistical analysis tools, and relevant certifications (like FRM or CFA) is often required. Exceptional problem-solving abilities, collaboration, and clear communication set outstanding candidates apart. These skills ensure accurate development and maintenance of credit risk models, enabling effective risk mitigation and regulatory compliance in financial institutions.
What job categories do people searching Credit Risk Developer jobs in Chicago, IL look for? The top searched job categories for Credit Risk Developer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Credit Risk Developer jobs? Cities near Chicago, IL with the most Credit Risk Developer job openings:

Senior Manager - Credit Card Pricing & Profitability Analytics

Tiger Analytics Inc.

Chicago, IL โ€ข Remote

Full-time

Re-posted yesterday


Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for an experienced Senior Manager / Lead to join our analytics consulting team and lead the delivery of Pricing & Profitability Models for a leading credit card client.

Responsibilities:

  • Lead the end-to-end delivery of pricing and profitability analytics models for credit card portfolios.
  • Partner directly with senior business leaders in the Credit Risk, Pricing, and Profitability domains to understand business objectives and translate them into analytical solutions.
  • Drive client engagement, manage stakeholder expectations, and present insights and recommendations to executive leadership.
  • Oversee model development, validation, implementation, and continuous improvement while maintaining strong governance and quality standards.
  • Collaborate with cross-functional teams, including business, product, data engineering, and technology, to deliver scalable analytical solutions.

Requirements

  • 10-12 years of experience in analytics, data science, or quantitative modeling within the Banking/Financial Services industry.
  • Strong experience in Credit Card Pricing, Profitability Analytics, Portfolio Analytics, and quantitative model development.
  • Deep experience with credit card profitability modeling, including exposure to areas such as Net Present Value (NPV) models, Customer Lifetime Value (LTV) models, Expected Loss Forecasting, Line Assignment Optimization, ROEC/RORAC frameworks, and Portfolio Profitability Forecasting.
  • Robust background in model development, validation, implementation, and continuous improvements.
  • Proven experience leading analytics engagements and managing end-to-end project delivery.
  • Excellent client-facing and stakeholder management skills, with experience working directly with senior business leaders.
  • Strong analytical and problem-solving skills with proficiency in tools such as Python and SQL.
  • Excellent communication, presentation, and leadership abilities.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.