Statistical Modeler
Listed on 2026-02-28
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Engineering
Mathematics -
Finance & Banking
Data Scientist, Mathematics
Technical/Functional Skills :
Should be experienced on SAS Enterprise Guide, SAS Enterprise Miner and other Statistical tools and packages. Knowledge on Statistics and Modeling is preferred. Strong understanding of structure and knowledge of Banking and Insurance Industry
Product knowledge
Ability to analyze issues, identify trends and recommend solutions
Write, Speak and present effectively to customers
Excellent knowledge of statistics, mathematics and financial modeling
Strong technical skills and problem solving ability. Strong background in statistical modeling and experience with statistical tools such SAS Enterprise Guide, SAS Enterprise Miner, SASS or SPSS.
Working with other statisticians to build predictive models and enhance various analytical products
QualificationsUnderstand customer needs and market requirements to identify relevant analytical factors for analysis
Build statistical models through the application of correlation analysis, multivariate regression, linear and non-linear regression and multi-dimensional clustering.
Interpret quantitative findings to draw relevant insight
Good verbal and written communication skills
Demonstrated project management skills and the ability to work on multiple projects on a concurrent basis and be able to meet deadlines
Ability to work in a team environment and to collaborate with other internal staff to coordinate model validations
Additional InformationJob Status:
Full Time
Eligibility: EAD GC or GC or US Citizens
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