Burtch Works
Job Title:
Risk Analyst
Location:
Chicago, IL (In-Office)
Base pay range $80,000.00/yr - $125,000.00/yr
About The Company We are a government-sponsored financial institution serving as a strategic partner for banks and financial institutions across Illinois and Wisconsin. Our mission is to provide competitively priced funding, a reasonable return on investment, and support for community investment activities. We are committed to fostering a high-performing, engaged workforce and supporting communities from urban centers to rural areas.
Job Summary We are looking for a Risk Analyst to join our Credit Risk team in Chicago. The ideal candidate will be quantitatively strong with rigorous statistical training (e.g., econometrics, probability, time-series) applied to credit risk, proficiency in R programming, and experience with financial statement analysis. This role will involve developing and maintaining credit risk models, performing credit analysis for depository members (banks and credit unions), and collaborating with Sales Directors to recommend credit structures aligned with our risk appetite.
Key Responsibilities
Model Development & Maintenance: Develop and maintain advanced credit risk models using statistical and econometric techniques to assess member risk profiles, including banks, credit unions, and insurance companies. Design, implement, and enhance models in R (and/or Python) for credit risk measurement, stress testing, benchmarking, and scenario analysis.
Data Analytics & Processing: Leverage Databricks and other cloud-based platforms to process and analyze large-scale financial datasets efficiently. Perform data mining, statistical analysis, and predictive modeling to identify trends, correlations, and emerging risks within member portfolios.
Automation & Monitoring: Automate recurring analytics and controls (e.g., score recalculations, risk rating refreshes, sensitivity checks) using R, SQL, and VBA where appropriate. Monitor model performance and drift; propose recalibration or redevelopment based on statistical evidence and business need.
Credit Analysis & Underwriting: Perform credit analysis and risk ratings for depository members, including quarterly reviews and ongoing monitoring of financial condition and liquidity/funding profiles. Analyze and recommend approval for new and/or continuing borrowers, aligned with credit policy and risk appetite.
Stakeholder Collaboration & Reporting: Partner with Relationship Managers and borrowers to structure transactions and address risk considerations. Prepare and deliver reports and presentations to senior management, regulators, and the Credit Committee. Develop clear visualizations and dashboards to communicate model insights and portfolio risk.
Requirements
Education:
Bachelor's or Master's degree in Mathematics, Statistics, Quantitative Finance, Econometrics, or a closely related analytical field
Experience:
1–4 years of experience in credit risk analysis, banking, fixed‑income, or institutional underwriting
Skills:
Demonstrated foundation in statistical modeling, probability, and quantitative methods applied to credit risk
Proficiency in R for statistical modeling and analytics
Advanced Excel skills (including advanced functions; VBA a plus)
Strong written and verbal communication skills with the ability to distill complex analyses for non-technical audiences
High attention to detail, intellectual curiosity, and sound judgment
Effective time management; comfortable working both independently and within a team environment
Other:
Familiarity with regulatory filings, GAAP, and financial statement analysis for financial institutions
Preferred Qualifications
Experience with SQL and Databricks for large‑scale data processing
Experience with financial data platforms such as S&P Capital IQ / SNL, Bloomberg, or similar
Familiarity with Tableau and Bloomberg
Knowledge of U.S. banking industry dynamics, credit risk principles, and regulatory environment for depository institutions
Benefits
Competitive Salary: Highly competitive compensation and bonus package
Health and Wellness: Comprehensive medical, dental, and vision insurance; Lifestyle Spending Account providing an annual stipend to support wellbeing activities
Work‑Life Balance: Five weeks of vacation for new employees; 11 paid holidays per year; allocation of remote days to use as needed throughout the year within our collaborative, in‑office operating model
Professional Development: Training opportunities through upskilling, mentorship programs, and tuition reimbursement; Buddy Program pairing new hires with tenured employees
Retirement: 401(k) and pension plan
Additional Perks: Central downtown location at the Old Post Office with easy access to public transportation and breathtaking rooftop views
Seniority level:
Entry level
Employment type:
Full-time
Job function:
Finance and Sales
Industries:
IT Services and IT Consulting
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Risk Analyst
Location:
Chicago, IL (In-Office)
Base pay range $80,000.00/yr - $125,000.00/yr
About The Company We are a government-sponsored financial institution serving as a strategic partner for banks and financial institutions across Illinois and Wisconsin. Our mission is to provide competitively priced funding, a reasonable return on investment, and support for community investment activities. We are committed to fostering a high-performing, engaged workforce and supporting communities from urban centers to rural areas.
Job Summary We are looking for a Risk Analyst to join our Credit Risk team in Chicago. The ideal candidate will be quantitatively strong with rigorous statistical training (e.g., econometrics, probability, time-series) applied to credit risk, proficiency in R programming, and experience with financial statement analysis. This role will involve developing and maintaining credit risk models, performing credit analysis for depository members (banks and credit unions), and collaborating with Sales Directors to recommend credit structures aligned with our risk appetite.
Key Responsibilities
Model Development & Maintenance: Develop and maintain advanced credit risk models using statistical and econometric techniques to assess member risk profiles, including banks, credit unions, and insurance companies. Design, implement, and enhance models in R (and/or Python) for credit risk measurement, stress testing, benchmarking, and scenario analysis.
Data Analytics & Processing: Leverage Databricks and other cloud-based platforms to process and analyze large-scale financial datasets efficiently. Perform data mining, statistical analysis, and predictive modeling to identify trends, correlations, and emerging risks within member portfolios.
Automation & Monitoring: Automate recurring analytics and controls (e.g., score recalculations, risk rating refreshes, sensitivity checks) using R, SQL, and VBA where appropriate. Monitor model performance and drift; propose recalibration or redevelopment based on statistical evidence and business need.
Credit Analysis & Underwriting: Perform credit analysis and risk ratings for depository members, including quarterly reviews and ongoing monitoring of financial condition and liquidity/funding profiles. Analyze and recommend approval for new and/or continuing borrowers, aligned with credit policy and risk appetite.
Stakeholder Collaboration & Reporting: Partner with Relationship Managers and borrowers to structure transactions and address risk considerations. Prepare and deliver reports and presentations to senior management, regulators, and the Credit Committee. Develop clear visualizations and dashboards to communicate model insights and portfolio risk.
Requirements
Education:
Bachelor's or Master's degree in Mathematics, Statistics, Quantitative Finance, Econometrics, or a closely related analytical field
Experience:
1–4 years of experience in credit risk analysis, banking, fixed‑income, or institutional underwriting
Skills:
Demonstrated foundation in statistical modeling, probability, and quantitative methods applied to credit risk
Proficiency in R for statistical modeling and analytics
Advanced Excel skills (including advanced functions; VBA a plus)
Strong written and verbal communication skills with the ability to distill complex analyses for non-technical audiences
High attention to detail, intellectual curiosity, and sound judgment
Effective time management; comfortable working both independently and within a team environment
Other:
Familiarity with regulatory filings, GAAP, and financial statement analysis for financial institutions
Preferred Qualifications
Experience with SQL and Databricks for large‑scale data processing
Experience with financial data platforms such as S&P Capital IQ / SNL, Bloomberg, or similar
Familiarity with Tableau and Bloomberg
Knowledge of U.S. banking industry dynamics, credit risk principles, and regulatory environment for depository institutions
Benefits
Competitive Salary: Highly competitive compensation and bonus package
Health and Wellness: Comprehensive medical, dental, and vision insurance; Lifestyle Spending Account providing an annual stipend to support wellbeing activities
Work‑Life Balance: Five weeks of vacation for new employees; 11 paid holidays per year; allocation of remote days to use as needed throughout the year within our collaborative, in‑office operating model
Professional Development: Training opportunities through upskilling, mentorship programs, and tuition reimbursement; Buddy Program pairing new hires with tenured employees
Retirement: 401(k) and pension plan
Additional Perks: Central downtown location at the Old Post Office with easy access to public transportation and breathtaking rooftop views
Seniority level:
Entry level
Employment type:
Full-time
Job function:
Finance and Sales
Industries:
IT Services and IT Consulting
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