Manager

Bank of America; Mumbai City; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Bank of America is seeking a senior analytics professional to drive fraud detection strategies across India with offices in Mumbai and Hyderabad. The role focuses on building data-driven solutions using SAS/SQL and collaborating with cross-functional partners.

The ideal candidate has 5–8 years of analytics experience, an advanced degree, and familiarity with Python/R/Java; experience in U.S. financial services is a plus.

Qualifications

• Advanced degree in statistics, mathematics, computer science or engineering.
• 5–8 years of analytics experience with SAS and SQL.
• Certifications in SAS and SQL preferred.
• Familiarity with Python, R or Java.
• Experience in U.S. financial services preferred.

Responsibilities

• Develop fraud strategies using statistical methods and analytics to detect threats.
• Identify new data sources to enrich fraud detection and feed decision systems.
• Optimize rules to reduce false positives and improve ROI and performance.
• Develop ad-hoc and standard MIS reporting for leadership.
• Contribute to check fraud detection using centralized data sources.
• Collaborate with business, operations and geo teams to align with goals.

Skills

SAS

SQL

Python

R

Java

Education

Advanced degree in Statistics/Math/CS/Engineering

Tools

Hive

HUE

Job description

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. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. 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

Job Description

This position/role requires interaction across multiple business partners to aide in determining key priorities and project direction for their team. Key functions involve working with the Transformation pillar teams to setup the data infrastructure, data mart designs and maps, maintain repository of centralized data definitions and methodologies, working with other partners within Client protection group to understand data needs, share reporting with leadership, and establish routines with various stakeholders for data reviews and make recommendations where gaps exist. Integrates the analysis with other corporate units to ensure alignment with business and corporate objectives.

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 will be part of check fraud detection team and will be working on designing financial center strategies leveraging internal and external data sources
• Collaborate with business, operations, and technology teams across geo-locations to align with strategic goals

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: 5-8 years of relevant experience using SAS, SQL, Data analytics

Experience in U.S. financial services is preferred.

Foundational skills –

• The candidate must be at an advanced to expert level in SAS and SQL.
• Familiarity with other programming languages such as Python, R or Java.
• The candidate must have 5-8 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 , Hyderabad