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Analyze large and highly complex mortgage and credit risk datasets to reveal trends and provide input into decision making process
Develop statistical models for use by Actuarial, Pricing and Structured Transaction teams covering traditional and structured products such at Credit Risk Transfers (CRT), Insurance Linked Notes, and Mortgage Risk Transfers
Convert raw data into meaningful formats that drive thoughtful and insightful analysis
Ensure analytic approaches are in line with model development best practices.
Maintain model libraries and documentation as well as provide input to model governance and model risk
Extensive Mortgage Modeling, Econometrics, Data Science and Analytics experience
Advanced proficiency in statistical modeling techniques such as linear regression, logistic regression, GLM and other machine learning techniques
Strong knowledge of machine learning tools/languages (e.g. SAS, R)
Practical experience of querying tools/languages (e.g. SQL, SAS) and basic programming concepts and principles.
Advanced proficiency in MS Excel; able to convert raw data into meaningful formats for analysis.
Excellent presentation & communication skills
Graduate degree in mathematics, actuarial science, finance or related field preferred
For immediate consideration, please forward resume and contact details to: email@example.com
Ashton Lane Group is a boutique executive recruitment firm serving the Banking, Insurance, and Alternative Investment sectors. For the latest opportunities, visit www.AshtonLaneGroup.com
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