Manager

Bank of America

📍Chennai, Tamil Nadu, India
Posted May 26, 2026

Job Overview

Position

Manager

Company

Bank of America

Location

Chennai, Tamil Nadu, India

Work Type

On-site

Job ID

li-4418978245

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. 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*
ARQ supports global businesses of the Bank with solutions requiring judgment application, sound business understanding and analytical perspective. The domain experience in the areas of Risk Management, Loss Mitigation and Prospecting Support provide solutions for fraud loss reduction, risk mitigation and cost optimization. The division comprising of highly qualified associates operates from five locations i.e., Mumbai, Gurgaon, Chennai, GIFT & Hyderabad. We facilitate information advantage with Strategic/Analytical solutions across Bank by supporting multiple lines of business and control functions.

Responsibilities
This role is part of Fraud Advanced Analytics group where the incumbent will be expected to work with our Data Science Executive as well as our internal analytics, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, reducing false positive declines at the point-of-sale, improving client experience, and ensuring the Bank minimizes its total cost of fraud. Some tasks that this role may be responsible for include (but are not limited to):

  • Development and optimization of algorithms to detect anomalies in portfolio level behavior.

  • Analysis of the emerging threats, in collaboration with Strategy and Policy partners, and expansion/refinement of the monitoring for known high risk behaviors.

  • Design and implementation of visual dashboards supporting anomaly detection alerting process

  • Assist with the deployments of the monitoring algorithms in coordination with various Tech partners.

  • Work with Data Science team on development of the advanced anomaly detection techniques, including unsupervised machine learning.

  • Initial triage of the monitoring alerts to understand the drivers behind the anomalous behavior.

  • Hands on experience in SAS, PySpark and Hive

  • Strong SQL skills with commensurate experience in a large database platform

  • A strong willingness to learn new technologies and ability to think critically.

  • Robotic process automation to reduce the need for manual, repeatable processes

Requirements
Education
– Advanced degree preferably in Applied Sciences, Engineering from a premier institute

Certifications if Any
- Technical certifications in SAS, Spark, SQL, Python are preferred.

Experience –

  • 4 to 7 years of relevant experience in analytics, with minimum 2+ year of hands-on experience in Pyspark, SAS, Tableau, SQL, Hive and data analysis. Experience with model development and fraud analytics are preferred·

  • Proficiency with visualization software such as Tableau and presentation software such as PowerPoint

  • U.S financial services experience preferable

  • Ability to think outside the box and excellent drive/desire to dig in, learn and make a difference.

Shift Timings: 11:30 to 8:30, 12:30 to 21:30

Location: Mumbai/Chennai/GIFT City

Interview Prep

AI-powered insights to help you prepare

Key Skills

Required:
Preferred:

Practice Questions

💡Technical Questions (3)
  • 1.How would you approach developing and optimizing an algorithm to detect anomalies in portfolio-level behavior using PySpark and SQL?
  • 2.Can you explain your experience with unsupervised machine learning techniques for advanced anomaly detection, particularly in a fraud context?
  • 3.Walk me through how you would design and implement a visual dashboard to support an anomaly detection alerting process.
🎯Behavioral Questions (3)
  • 1.Tell me about a time you collaborated with technology, product, or policy partners to deploy an analytical solution.
  • 2.Describe a situation where you had to triage an alert or anomaly to understand the drivers behind the behavior. What was the outcome?
  • 3.Give an example of a time you used Robotic Process Automation (RPA) or another method to eliminate manual, repeatable processes.
🧩Situational Questions (2)
  • 1.You notice a sudden spike in false positive declines at the point-of-sale, negatively impacting client experience. How would you handle this?
  • 2.An emerging fraud threat is identified by the Strategy team, but there is no labeled data available to train a traditional supervised model. What is your approach?

Resume Keywords

Make sure these keywords appear on your resume

Fraud AnalyticsAnomaly DetectionUnsupervised Machine LearningPySparkSASHiveAdvanced SQLRobotic Process AutomationDashboard DesignRisk MitigationFalse Positive ReductionAlert Triage

Interested in this position? Apply directly on LinkedIn.

Apply on LinkedIn →