Fraud Analytics Manager

Manager

Job Description:

About Us

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection.  Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

 Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Global Business Services

Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations.

Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation.

In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services.

Process Overview

Building out Strategies, Analytics & Process Integration team in India driving improved fraud detection & loss reduction

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).

• Associate should have the deep understanding of Application Fraud – Credit Card and Deposits area.

• Proactively managing fraud risk by promptly responding to immediate threats while keeping an eye toward future risks, vulnerabilities, and changes to the fraud landscape

• Driving initiatives to challenge the status quo, relentlessly optimizing fraud strategies, using new tools and techniques, and approaches

• 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 : 5 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

• 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 5 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/Gift City (Ahmedabad)/Hyderabad / Chennai

Experience Level

Mid Level