Statistical Analyst – Structured Products Data Science

Job Overview

Responsibilities:

• 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

Requirements:

• 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:

Ashton Lane Group is a boutique executive recruitment firm serving the Banking, Insurance, and Alternative Investment sectors. For the latest opportunities, visit

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