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Responsibilities
The role will be responsible for several key areas:
• Development of new fraud strategies using statistical and analytical techniques including decision trees, random forests and other quantitative methods. Goal will be to identify and mitigate new and emerging fraud threats.
• Identifying new sources of data (internal or vendor-provided) that can enrich our existing fraud detection processes, be added to our decision systems, and allow for new detection strategies to be developed. Will require close coordination with partners in Fraud Technology.
• Optimization of existing detection strategies to determine areas where rules can be adjusted to decline fewer false positives and improve the ROI and overall performance of our fraud strategies
• Development of both ad-hoc and more standardized reporting (MIS).
• Candidate need to work on any of the given products - Credit Card / Debit Card / Deposit / Check /Reporting / ATO/New Accts/Digital
Requirements
Education:- Advanced degree, preferably in Statistics/Mathematics, Computer Sciences, Engineering from a premier institute
Certifications If Any
Technical certifications in SAS, SQL preferred
Exp Range: 6 to 9 years of relevant experience using SAS, SQL data analytics
U.S financial services experience preferable
Foundational skills –
• Bachelor’s degree is required, preferably in a quantitative discipline such as mathematics, statistics, operations research, engineering, computer science, finance or business. Post graduate degree is a plus.
• The candidate must be at an advanced to expert level in SAS and SQL. Should also have familiarity with other programming languages such as Python, R or Java. Knowledge of data extraction tools such as Hive or HUE will be useful.
• Must have 6 to 9 years of relevant experience in analytics. Strong preference working in financial services, particularly fraud or cyber security.
Desired skills –
• Candidate must have a proven track record of building and deploying analytical solutions that have resulted in material financial results.
• Ability to work in a fast-paced, dynamic environment is critical. Must have exceptional organizational, project management and communications skills Bachelor’s degree is desired, preferably in a quantitative discipline such as mathematics, statistics, engineering, computer science, finance or business. Post graduate degree is a plus.
• Familiarity with other programming languages such as Python, R or Java will be preferred.
• Knowledge of data extraction tools such as Hive or HUE will be preferred.
Shift Timings : 11 30 AM to 8 30 pm/ 12:30 PM to 9:30 PM
Location: Mumbai
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