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Job Title: Tableau /Python /Bigdata Developer (Credit Card Fraud domain)

Location: New York, NY (ONSITE)

Duration: 12+months

Job Description:

• Bachelor's degree or equivalent working experience with minimum of 8+ years of IT experience.

Responsibilities:

• Assist in the identification, development and evolution of Fraud KPIs focused upon customer service, compliance, and commercial goals
• Partner with Fraud Operations and Disputes Strategy to assess emerging fraud risks and effectuate prevention controls
• Ensure fraud program is well positioned to limit fraud losses while maintaining positive customer experience by identifying and implementing state of the art fraud prevention tools
• Execute strategies to ease customer friction as it pertains to fraud controls; maximize fraud hit rate for cases set up for manual review
• Build and maintain subject matter expertise in the Fraud and Disputes policies and procedures
• Participate in product, product strategy, data architecture decisions and partner with technology and Operations teams
• Research and remain current on the latest industry trends and recommend tools, services, and practices for improvement
• Create executive level presentations on an ad hoc basis, concisely and effectively communicating to senior management with visual representation of analysis and proposals for necessary enhancements
• Create trend report and analysis leveraging coding language and tools such as Python, PySpark, SQL and Excel
• Create and manage dashboard reports for management review
• Functions as a key connection of non-technical operational leadership roles to technical data teams and translating the business objective into data requirements and standard reporting

Required Skills:

• Bachelor's degree in Business, Data Analysis, Finance, Computer Science, Information Systems, Information Technology Management or related field.
• 10+ years' experience in Fraud Risk Management role(s) within Financial Services industry with focus on Fraud prevention and/or Disputes in the deposits space
• Strong understanding of all fraud typologies and industry best practices for fraud prevention in the Deposits space
• Experience in development and maintenance of onboarding, authentication and transaction decision engines
• Strong working knowledge of statistical techniques including regression, clustering, neural network and ensemble techniques
• Demonstrated analytical skills and techniques with strong knowledge of data visualization tools, such as Tableau
• Experience dealing with large data sets (structured or unstructured)
• Ability to interpret data to develop action plans to improve business processes
• Ability to learn quickly and adapt to projects and deadlines
• Passion for delivering a great customer experience at scale
• Strong communication skills and the ability to build relationships with internal stakeholders
• Strong judgment and comfort with ambiguity

• Prior experience must include three (3) years with the following:
• Experience with large datasets using Big Data tools and platform (Hadoop, Pig, Hive, Python, Pyspark)
• Writing SQL coding from raw data tables to refined business analytic views.
• Tableau Dashboard Creation
• Business requirement writing
• Data flow troubleshooting

NOTE:
THESE EMAILS ARE GENERATED BY KEYWORD AND I APOLOGIZE IF THESE SKILLS SETS DO NOT MATCH YOUR EXPERTISE, OR IF THE LOCATION IS OUT OF RANGE.
We do have other opportunities available. If you are interested, please send me your latest resume.

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