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Lead Quantitative Analyst

Location : Chicago, IL
Job Type : Direct
Hours : Full Time
Travel : No
Relocation : No

Job Description :

As a Lead Quant Analyst within the Model Risk Office, you will lead the validation of loss forecasting, stress testing, and Basel models used to measure risk and calculate capital requirements.  Validations cover all aspects of model development and performance and include forward-looking advancements in model sophistication and quality. You will enhance your technical and analytical skills, while also working with business leaders understand and influence business strategies. With a network of over 200 quantitative analysts, data scientists and statisticians, we’ve created a dynamic environment with ample opportunities for learning and growth.  



Responsibilities:
• Develop and implement validation strategies for statistical and other quantitative models used in loss forecasting, stress, and capital calculations
• Assess the quality and risk of model methodologies, outputs, and processes
• Develop alternative model approaches to assess model design and advance future capabilities
• Understand relevant business processes and portfolios associated with model use
• Understand technical issues in econometric and statistical modeling and apply these skills toward assessing model risks and opportunities
• Communicate clearly and concisely both verbally and through written communication via model validation reports and presentations
 
Basic Qualifications: 
• Master’s Degree 
• At least 2 years’ experience in quantitative analysis with Statistics, Econometrics, or Data Mining

Preferred Qualifications: 
• Doctorate in quantitative field including Statistics, Mathematics, or Economics
• 3+ years’ experience in credit risk modeling and analysis
• Proficiency with statistical and data software languages and packages
• Strong verbal and written communication skills


* SAS, preferably with R or Python




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Required Qualifications :
 
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