7/29/2019 Quant Analyst - Chart s

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Position Profile: Quantitative AnalystScope and ResponsibilitiesJ ob Highlights

Identify and execute analytical opportunities that significantly improve AIGs profitability. Role emphasises building and deploying decision support

analytics for e.g. risk selection, policy pricing, and monitoring model performance

Support the end-to-end delivery of a science project by taking ownership of the underlying data and sophisticated analyses

Report to a Science Business Manager or Director Requires:

Skills in data manipulation, model building and validation, creative problem solving and high quality analysis

Training in statistics (ideally, machine learning), data mining and predictive analytics

Experience of programming in at least one data analytics environments (e.g., Python, SAS, R, Matlab, C/C++, etc.)

Knowledge of (and/or experience in) time-series analysis (e.g., exponential smoothing), classification (e.g., logistic regression and SVM),

handling missing data (e.g., imputation techniques), clustering/segmentation, and other such research topics is a plus

Leadership Skills Technical Skills and Expertise

Demonstrated ability in analytical roles employing statistical models and

business intelligence

Education in Statistics, Engineering, Economics, Operational Research

or similarly quantitative disciplines required, Masters level preferred

Demonstrated ability to problem solve creatively, towards innovative

practical solutions with real business impact

Commercial Insurance experience an advantage but not critical

Work as part of a Science project team on projects within EMEA, or global projects run from EMEA. This might include:

Building and/or refining predictive statistical models to improve insights and enhance data driven business strategies, and ultimately the

profitability of AIG

Performing primary research and data mining in SAS (or other packages) to identify new analytical opportunities to improve business processes

Building upon existing code to further improve the analytical framework and business impact for our user base

Conducting technical training among colleagues and end users to explain and encourage more analytical discipline in business processes (e.g.

underwriting, claims fraud detection, receivable collections etc.)

Key responsibilities

Ability to manage oneself, and mentor junior analysts, in delivering

complex analyses

Proactive get-it-done approach to working across AIG to get to

impact

Intellectual curiosity and the ability to take initiative in creative

problem solving

Good communication and influencing skills

Commitment to delivering highest quality output

Able to multi-task across more than one project