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Sr. Manager, Model Validation & Quantitative Analytics

Location : Washington DC
Job Type : Direct
Hours : Full Time
Travel : No
Relocation : No

Job Description :

As a Quantitative Analyst Sr. Manager within the Model Risk Office, you will lead a team or be an individual contributor in the validation of loss forecasting, stress testing and Basel-related models that are used to measure risk and calculate capital requirements associated with financial assets. You will enhance your technical and analytical skills, while also working closely with business leaders to influence business strategy. With a network of over 200 Statisticians, challenging projects with an eye on the bottom line and a focus on work/life balance, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential. 

Specific responsibilities may include, but are not limited to: 


- Contributing to model validation projects, in a leadership and/or analytic capacity


- Understanding business processes and portfolios associated with model use, and the nature of model use within those processes


- Assessing the methodologies and processes used by modeling teams to develop and manage their models, and identifying potential weaknesses and the associated materiality of the risk


- Developing project plans, setting and managing expectations, and delivering results through self and/or others 


- Benchmarking model methodologies and performance by specifying and managing the development of alternative models


- Analyzing complex data to determine correlations and data integrity issues


- Researching industry practices related to model methodologies


- Documenting validation processes and results


- Communicating validation work to management, model owners, regulators, and auditors


- Leveraging education, colleagues and training opportunities to develop solutions to business problems 


- Assisting with building the validation group, through contributions to hiring, training, and developing infrastructure such as processes and templates


 


Basic Qualifications: 
- Master’s Degree in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Physics or Technology
- At least 4 years of experience in Statistical or Econometrics modeling


 


Preferred Qualifications: 
- Doctorate in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Physics or Technology 
- 7+ years of experience in consumer or commercial risk
- 5+ years of experience in risk scoring and forecasting models 

Required Qualifications :
 
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