Help understand the main customer issues around fraud and compliance.
Understand the nature of the data that is going to be provided.
Work with the customer to create and finalize a data schema that meets their needs.
Help populate the tables with data and do data regressions to understand the key parameters that may be indicative of fraud.
Train the customer on using the Simility platform including the ability to write custom rules, triggers, etc.
Help customers go live find their main compliance/fraud issues.
Provide feedback from customers to the product development team in an effort to continually improve the product.
Lead and participate in special projects/initiatives: innovate and implement large-scale quality improvements to processes and/or systems by conducting data analysis and making recommendations, troubleshooting technical issues, and refining processes around customer support.
Qualifications and Experience:
BA/BS Degree in Computer Science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience.
A minimum of 2 years of experience in Data Analysis, Research, Risk and Fraud Investigation or Internet Industry.
Experience in one of the following areas: internet technology, online search, eCommerce, online payments or online advertising and publishing,
Policy enforcement/user trust/risk/fraud investigation/product abuse.
Project Management experience and attention to detail with the ability to gets things done.
Strong process improvement, prioritization, and multi-tasking capabilities.
Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, charisma, and ability to work with your team to make a big impact.
Knowledge of database structures and/or working with Unix/Linux.
Outstanding leadership, influencing, communication, interpersonal and teamwork skills.
Qualification*B.E, B.Tech, Bsc-IT, Msc-IT, MSC Statistics
Experience*2 Year- 7 Years
Salary*Best in Industry