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As the world's leading provider of business software, SAP delivers products and services that help accelerate business innovation for our customers. We believe that doing so will unleash growth and create significant new value - for our customers, SAP, and ultimately, entire industries and the economy at large. Today, more than 46,100 customers in more than 120 countries run SAP applications - from distinct solutions addressing the needs of small businesses and midsize companies to suite offerings for global organizations.

PURPOSE AND OBJECTIVES
The Banking Industry has been identified as a strategic growth and investment area for SAP and we are planning a significant increase in business for the coming years. SAP is already well positioned in the global Banking Software market for this growth. To leverage existing momentum and to add additional industry expertise we are looking to further strengthen and enhance our research and development team for the SAP Analytical Banking solutions. This position involves working with model development, and the application of the models in the client environment and within software products under development.

EXPECTATIONS AND TASKS
- Assists in product development and client support of the financial services science applications
- Propose and lead innovative mathematical approaches to solving complex business problems, utilizing available research at your disposal.
- Designing, coding, and maintaining financial KPI (key performance indicator) components
- The individual in this position must be able to contribute on all project phases including design, implementation, and support functions
- Designing and validating statistical modeling applications for clients
- Designing and maintaining algorithms for non linear constrained optimization
- Designing data structures for demand model, KPIs, and optimization
- Validate science results from the applications (KPIs, demand forecasts, and optimization)


WORK EXPERIENCE
- PhD or MS and 2-3 years of relevant experience in advanced degree work or industry is highly preferred.
- Strong mathematics and science background with sound analytical/computational skills and proficiency in Linear Algebra, statistics, numerical methods, mathematical modeling, linear and non linear optimization
- Statistics, Econometrics, Mathematics, Operations Research discipline, or Physics/Engineering discipline with primary focus on mathematical modeling and statistical analysis
- Working experience in a modeling environment such as MATLAB
- At least two years of hands-on experience in model development and quantitative research
- Experience with SAP applications, BI, ABAP a great plus


TRAVEL
Up to 25% overnight travel may be required

EDUCATION AND QUALIFICATIONS/SKILLS AND COMPETENCIES
- Bachelor's degree in Statistics, Mathematics, Computer Science or related degree
- 2+ years developing statistical modeling applications, optimization algorithms, and numerical computation
- Experience in basic financial analysis (banking and/or insurance profitability, margin analysis, cost analysis, or loss forecasting)
- 2+ years Programming in C++/Java