Model Risk Analyst
$75.33k - $125.5kFederal Home Loan Bank of Chicago
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
- Drive Innovation: Lead the charge in enhancing credit and financial models by challenging current methods and proposing innovative enhancements to improve model effectiveness.
- Collaborate and Influence: Work closely with model owners and stakeholders, presenting testing results and providing constructive recommendations to strengthen our risk management practices.
- Automate and Optimize: Recommend new ways to automate and improve the modeling process, ensuring efficiency and accuracy in our financial risk assessments.
- Explain and present testing results to MRM, model owners and other stakeholders;
- Work effectively with other risk analysts within MRM and perform ad-hoc analysis to support model-related initiatives;
- Review model data sources, assumptions, and underlying theory for conceptual soundness;
- Perform sensitivity analysis and attribution analysis to determine the key financial risk factor(s)/input(s) impacting the Model;
- Challenge current methods by considering additional modeling enhancements or different metrics to assess model effectiveness;
- Perform independent benchmarking, back testing and other analysis for applicable models;
- Recommend new ways to automate/improve the modeling process;
- Effectively challenge the model owners by identifying potential model weakness and provide constructive recommendations.
- Graduate Degree (MS/MA/MBA) in a quantitative discipline (e.g., Mathematics, Statistics, Financial Mathematics, Econometrics);
- 0-3 years of modeling or model validation working experience;
- Passionate about risk management and interested in model validation;
- Detail-oriented, a critical thinker and possess excellent communication skills;
- Proficient in Microsoft Office suite (Excel, Word, Access, PowerPoints)
- Knowledge in Statistics (logistic regression) and basic data analysis plus knowledge of SQL/R/Python
- Basic understanding in fixed income securities or mortgage products (CFA/FRM certifications a plus).
- Knowledge of stochastic processes or interest-rate model techniques preferred;
- Experience using machine learning techniques utilizing regression and classification algorithms preferred;
- Familiar with Tableau and level of detail (LOD) preferred
Vacancy posted 3 days ago
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