Bank Of America Senior Manager 

India, Maharashtra, Vasai-Virar 

734798378

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*

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

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 skillsBachelor’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.

Work Timings*

11: 30 AM to 8:30 PM, 12: 30 AM to 9:30 PM