Evalueserve is a global professional services provider offering research, analytics, and data management services. We- re powered by mind+machine - a unique combination of human expertise and best-in-class technologies that use smart algorithms to simplify key tasks. This approach enables us to design and manage processes that can generate and harness insights on a large scale, significantly cutting costs and timescales and helping businesses that partner with us to overtake the competition.

We work with clients across a wide range of industries and business functions, helping them to make better decisions faster; reach new levels of efficiency and effectiveness; and see a tangible impact on their top and bottom line.

Position at a glance :

The position will be part of the Methodology and Analytics team with Financial Performance Management (FPM). The Methodology and Analytics team is responsible for the development of new allocation methodologies, along with associated financial analysis and modeling to assess the pro forma impact of these methods. The team also works with finance and business experts across the company to refine and enhance new methodologies as they are introduced and tested.

The position's primary responsibility is to lead the development and refinement of quantitative models used by the FPM team (primarily SAS and Excel-based). These quantitative models will be focused on calculating items such as asset and liability funds transfer pricing (based on instrument-level buildups), liquidity charges, and other components critical to assessing the impact of new allocation methodologies.

Key Responsibilities may include :

- Construction of models used to create complex financial pro formas for the FPM team.

- Assist in sourcing and organizing large financial datasets and other information needed for FPM's analysis.

- Creating forecasting tools to run sensitivity analyses of various funds transfer pricing methodologies in alternate interest rate environments.

Required qualifications :

- Excellent interaction and communication skills in English.

- Degree in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometric, computer sciences, or business/social and behavioral sciences with a quantitative emphasis.

- 5+ years of experience in one or a combination of the following: reporting, analytics, or modeling.

- 3+ years SAS programming.

- Advanced Microsoft Excel skills.

- Strong analytical skills with high attention to detail and accuracy.

- Able to collaborate with teams in different functions.

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.