Monday, February 2, 2009

Analytic Science Consultant with Fair Isaac , Bangalore

Role & Responsibilities:


Responsibilities include:

• Gather, examine, and analyze data; execute analytic components of projects; write technical specifications for manipulating data; produce reports, graphs, and summaries.

• Use Model Builder, Fair Isaac's proprietary analytic software tool, to complete assigned project tasks.

• Develop solutions within the project framework related to characteristic generation, characteristic audit and model validations.

• Assist and develop technical documentation for predictive model projects, Basel II projects and ad-hoc projects.

• Assist in the production of operational and administrative reports for senior leadership, including production of revenue forecast, staffing forecast and contract review summaries.

• Provides regular updates to project managers, working with colleagues around the globe.

• Maintains quality control and ensures the maintenance of project documentation.

• Maintains a strong personal base of knowledge with respect to analytic software tools, JAVA programming, SAS programming, financial services industry trends and issues



Expereince & Qualification:


BS in a technical field, or equivalent professional experience beyond the baccalaureate degree.

• At least 1 year experience with JAVA, C++ or SAS, with proven experience using advanced programming language procedures.

• Familiarity with different types and forms of data preferred, including main frame, common database formats and tools used to access and analyze data in such formats.

• Course work in probability, statistics and quantitative methods required, including at least one semester of an applied statistics class.

• Knowledge of statistical methods and quantitative analysis preferred.

• Demonstrated attention to detail and skills to develop and review technical documentation.

• Demonstrated knowledge of MS office, with advanced knowledge of MS Excel.

• Experience with the Oracle E-Business suite preferred.

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