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Data Analyst in Deerfield, IL at CRS Group

Date Posted: 4/13/2018

Job Snapshot

Job Description

Data Analyst – Banking, Financial or Insurance


 I am seeking an data analytics professional with work experience in Banking, Financial or Insurance area in developing and evaluating business rules and strategies using advanced statistical techniques. The Fraud Strategy group analyzes vast amounts of account behavior and transactional data to develop and improve processes, models, and rules to manage fraud losses while balancing customer experience. These efforts are constantly monitored and adjusted, and combined with advanced analytics in order to address continuously changing fraud behaviors domestically and internationally.


Skills:


Candidate is expected to have a strong analytical background and a proven track record of utilizing advanced analytics (such as logistic regression and decision tree analysis) and machine learning techniques in solving business problems. Experience in fraud prevention/detection strategy is a plus.



•         Minimum 3 years of work experience in analytics/strategy roles preferably in credit card space or overall payments / financial services industry



•         Extensive SAS and SQL programming skills, preferably in multiple environments.



•         R Studio / programming



•         Agile methodologies - Scrum



•         Basic understanding of card transaction processing infrastructure and fraud prevention strategies



•         Results oriented with energy, drive, commitment, and resilience to excel in a collaborative and open business environment.



•         Excellent communication (oral and written), presentation, interpersonal, and organizational skills



•         Evidence of successfully leading, inspiring and empowering a team of analysts.


B.S. degree in Statistics, Mathematics, Operation Research, Economics, Engineering or a related quantitative field.


Job Requirements

Responsibilities:



•         Assess trends, propose hypotheses and analyze data to detect constantly evolving fraud patterns.



•         Develop, implement, monitor and refine best-in-class fraud detection strategies that leverage historical data, customer usage profile and real time transactional data. Use standard analytic methods such as decision trees to analyze and improve fraud performance. Take ownership of fraud prevention strategies and manage fraud losses in assigned area of responsibility



•         Develop/run effective performance tracking mechanisms to ensure that strategies are performing as expected; and incorporate the learnings to improve strategies in a timely manner.



•         Provide support on ad-hoc analytical & strategic projects that aim to enhance the capabilities of the larger group



•         Prepare and present analytic results and new strategic processes in professional and informative way to management.



•         Define test cases, perform UAT on fraud too