The Specialist (Financial Modeling Analyst) will contribute to highly visible enterprise-wide modeling programs, dedicated to a specific area of the business.
The models make estimates that are a key input to management decisions and are reported to Senior Management and the Board of Directors on a regular basis.
The role will be to execute corporate-wide standards for model development. The incumbent will be responsible for identifying problems that can be solved by the application of financial theory and building models which improve the firm's operations.
The incumbent may work in one of five disciplines, each responsible for a different type of modeling : 1) Credit Risk Modeling2) Treasury Modeling3) Market Risk Modeling4) Pricing Modeling5) Forecasting Execute corporate-wide standards for model development by creating options for theoretical frameworks, collecting data needed, supporting assumptions, and reviewing outcomes.
Work will align to the development scope established by more senior colleagues. Support the validation of models,, the incumbent is expected to provide testing and analysis at the request of Model Risk Management.
Support the use of models,, the incumbent is expected to execute models in accordance with approval conditions and communicate results to management.
The incumbent will be responsible for performance monitoring of models, identifying possible deterioration by comparing outcomes to established thresholds.
No formal supervisory responsibility. Primarily responsible for the accuracy and quality of own work . Modified based upon local regulations / requirements.
Master's Degree / PhD in a quantitative discipline, including engineering, mathematics, physics, statistics, economics. The candidate must have a superb quantitative and analytical background with a solid theoretical foundation coupled with strong programming, documentation and communications skills.
0-2 years of experience. Must have experience with complex quantitative modeling, numerical analysis, and computational methods using programming languages (such as C / C++, C#, Java, FORTRAN, MATLAB, SAS) as well as mathematical / statistical software packages.
Must be extremely focused, detail oriented, results oriented and highly productive. Must have a proven track record of being able to efficiently and effectively conduct independent research, analyze problems, formulate and implement solutions, and produce quality results on time.
The candidate must have excellent scientific and technical documentation and presentation skills, assertiveness & influencing skills, and the skills to explain abstract theoretical concepts to a non-expert audience in easy-to-understand language.