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Manager

Location Mumbai, India
Posted 28-October-2021
Description
Process Overview:
Building out Strategies, Analytics & Process Integration team in India driving improved fraud detection & loss reduction


:

Experienced analytical professional to join our team as a Fraud Strategy Analyst. In this role, you will be expected to look through significant quantities of data from various sources to identify and stop fraud.


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

Experience range:

6 to 9 years of relevant experience using SAS, SQL data analytics
U.S financial services experience preferable
Understanding of business domains like Fraud/Compliance/Risk preferable

Foundational Skills:

Bachelors 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.
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


Desired Skills:

Bachelors 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.
Experience
Min 6 to 9 Years.

 
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