Luxoft is an emerging global leader in high-end software application development.
Luxoft is a global IT outsourcing and software development company with 7000 employees across 19 locations. It was recently recognized as Leading Central and Eastern European Service Provider in the 2010 Global Services 100 list. Luxoft is famous for flexible delivery models, world's best IT talent pool, low attrition rates, best-of-breed processes and highest security and quality standards.
Luxoft is trusted long-term partner for world class leaders such as Avaya, Boeing, Dell, Deutsche Bank, IBM.
Currently we are looking for
Currently we are looking for
VR-7961
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SAS FF (Fraud Framework) Developer
Miejsce pracy: London
Nr Ref.: VR-7961
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Luxoft - Leading Central and Eastern European IT Service Provider. Learn more about Luxoft at www.luxoft.com
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Responsibilities:
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Analysis frauds and development in SAS Fraud Framework. |
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Requirements:
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The ideal candidate should have the below credentials: Minimal 3 years experience in using SAS VA and Fraud Framework. Knowledge of SAS Base/ E-miner or other tool stacks would be an advantage Application level Exposure to most or at least some of the key techniques of Statistical/ Predictive Modeling- Logistic Regression, Response Models, Bayesian Methods, Time Series Forecasting, Panel Regression Working knowledge of SQL and popular relational databases Self-motivated and able to sustain himself/herself without direct supervision Strong analytical, presentation & persuasive abilities with excellent interpersonal skills and strong oral and written communication skills Key Skills:
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Apart from what
everyone else offers, we offer: |
The aim of this project is to build an efficient CCA (Cancel Correct Amend Fraud Detection) platform for Top Level management in leading Investment bank. CCA belongs to a class of IT verticals called Fraud Detection (Data Mining). Data mining projects are viewed under the umbrella of Cross Industry Standard Process and have 6 major phases: business understanding, data understanding, data preparation, modeling, evaluation and deployment. Using SAS in project for:
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