The Fraud Operations Analyst will contribute to the development of new techniques and the improvement of processes and work-flow for Fraud Operations. The Analyst will identify problems and work directly with Fraud Operations to solve and implement solutions. The candidate will apply analytical thinking and knowledge of data analysis tools and methodologies. Other responsibilities include:
Requires attention to detail when making judgments and recommendations based on the analysis of factual information.
Provides in-depth and sophisticated analysis with interpretive thinking to define problems and develop innovative solutions. Influences strategic functional decisions through advice, counsel or provided services that have direct impact on the business. Persuades and influences others through developed communication and diplomacy skills with colleagues in other areas and occasional external customers
Designs/analyzes complex reports to satisfy management requirements.
Possesses a comprehensive understanding of how own area and others collectively integrate to contribute towards achieving business objectives.
Acts as advisor or coach to new or lower level personnel in the business processes and procedures of area supported.
Working with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
Identifies and compiles data sets using a variety of tools (e.g. SQL, SAS, Python, HUE, Hadoop) to help predict, improve, and measure the success of key business to business outcomes
Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
Candidates for this role may often be referred to as Data Scientists
3-5 years relevant experience
Have the ability to retrieve and manipulation data
Possess analytic ability and problem solving skills
Work experience with SAS, Python, HUE, Hadoop
Willing to learn and can-do attitude
Excellent communication and interpersonal skills, be organized, detail oriented, flexible and adaptive to matrix work environment
Ability to build partnerships with cross-function leaders
Bachelors/University degree or equivalent experience, preferably in Statistics/Quantitative Analytics
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