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Role: Tableau Python Bigdata Developer

Location: New York City NY-Onsite

Responsibilities

**Profiles must have strong experience in Credit Card Fraud domain. Any CV missing this experience is not to be considered**

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

Basic Qualifications

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.