Nomis Solutions is the leading provider of Pricing and Profitability Management solutions to the financial services industry. We are headquartered in San Bruno, California, with offices in London and representation in New York, Toronto, Atlanta, and Johannesburg, South Africa. We've been leading the charge to move an entire industry from a cost-plus pricing methodology to a pricing methodology based on deep understanding of customer demand and price elasticity. In the process, we've analyzed and priced over $400 billion in consumer accounts across a wide variety of banking products and generated over $400 million in measurable profit improvements for our customers. We feel that this is a great "win-win" opportunity: we can help banks make money by better targeting and pricing their products so that the right customers get the right product at the right price.

We've developed the industry's first price optimization software and enhanced it over several generations to its current version, in the process winning several awards for our software. As a result of the growth we are experiencing, we are looking for passionate, strong software engineers to contribute to the next generation of the pricing platform that is extremely scalable, cloud based, service-oriented and super-intuitive.

For more information on Nomis please visit our web site at http://www.nomissolutions.com

We are looking for an experienced and hands-on Modeling Consultant to join our San Bruno, California team.

Job Duties:

• Deliver price optimization solutions for the financial services industry.
• Develop mathematical models of price-response and use them to generate pricing, configuration and installation recommendations; recommend changes to customer pricing and sales process, pricing analysis and optimization software.
• Work with large volumes of customer data to develop statistically stable and robust models of customer price response and use these models to determine the optimal set of prices.
• Utilize creativity and use of a broad range of quantitative approaches to meet the needs of customers in different parts of the financial services industry.
• Employ effective written and spoken expression of the underlying concepts, models and algorithms as well as their strengths and shortcomings.

Education:

• Master's in quantitative field (including Economics, Business, Mathematics, Computer Science, Statistics, Operations Research, any Engineering field) or closely related.

Experience:

• 2 years of experience in quantitative field.

Background:

• Background is high-value analytic-based projects using client data. Quantitative analysis through the use of SAS or another software analysis package. Familiarity with demand forecasting, statistical estimation and regression, classification, data mining and non-linear optimization. Ability to communicate technical and analytic approaches and results.

Location:

• San Bruno, CA

How to Apply:
By mail to Job #NSSML att'n R. Whittow, Nomis Solutions, Inc., 1111 Bayhill Drive, Suite 230, San Bruno, CA 94066