This site uses cookies. To find out more, see our Cookies Policy

Project Manager, Fraud Analysis in Riverwoods, IL at CRS Group

Date Posted: 6/27/2018

Job Snapshot

Job Description

Project Manager, Fraud Analysis
Duration: 10 month contract
Location: Riverwoods, IL
Overview: The CRS Group is currently looking for a Project Manager, Fraud Analysis for one of our clients in the Riverwoods area. The CRS Group is a nationwide Staffing Firm who works primarily with Fortune 500 and Fortune 1000 corporations.
Job Description:
  • Analyst, Fraud Analysis is 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

Duties and 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 tools

  • 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

ss #81813
Qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information.