Manager

Bank of America; Mumbai Suburban; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Bank of America is seeking an experienced professional for model validation work in fraud management. The ideal candidate will drive reduced losses by collaborating with internal and external partners to develop and validate fraud algorithms, document methodologies, and visualize outcomes.

Applicants should possess an advanced degree in a quantitative discipline and have 5 to 7 years of relevant experience. Key skills include proficiency in SAS or SQL, communication abilities, and analytical insights.

Qualifications

• 5 to 7 years of relevant experience.
• Experience with SAS or SQL required; proficiency with Python or PySpark preferred.
• Excellent communication and organizational skills.

Responsibilities

• Develop approval documentation for fraud scores and algorithms.
• Conduct periodic model validations on scores.
• Partner with strategies teams to communicate model performance.
• Develop best practices for fraud model governance.
• Create dashboards and MIS reports to visualize model performance.

Skills

SAS

SQL

Python

PySpark

Tableau

PowerPoint

Education

Advanced degree in Statistics, Mathematics, Computer Science, Engineering

Tools

Hive

HUE

Pig

Job description

Overview

Bank of America is 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.

Global Business Services

Global Business Services delivers technology and operations capabilities to lines of business and staff support functions through a centrally managed, globally integrated delivery model. It is recognized for flawless execution, sound risk management, operational resiliency, operational excellence, and innovation. In India, operations are conducted by BA Continuum India Private Limited (BACI), a non‑banking subsidiary of Bank of America.

Process Overview

Driving reduced losses and customer friction by performing model validation work on a portfolio of fraud models. This role supports the Consumer Client Protection organization and partners with vendors, independent model risk management, technology, and business strategy teams to document, deploy, and assess performance of fraud models.

Responsibilities

• Work with vendors and internal modeling partners to develop approval documentation for new fraud scores and algorithms, including comprehensive write‑ups on model construction, testing, validation, methodology, sampling, performance, and other relevant details.
• Conduct periodic model validations on scores, monitoring key metrics such as precision, recall, rank ordering, detection of PSI, and other metrics to ensure models perform well and do not deteriorate.
• Partner with strategies teams to communicate model performance and trends, providing insights into deteriorating or underperforming scores and supporting adjustments to prevent losses.
• Work with Model Risk Management (MRM) to close out follow‑up items on partially or conditionally approved models.
• Develop best practices for fraud model governance that balance rapid deployment needs with internal and regulatory concerns.
• Create dashboards and MIS reports to visualize model performance, trends, and potential issues.
• Support automation initiatives within the team and pursue automation of repetitive tasks.

Requirements

Education

• Advanced degree, preferably in Statistics, Mathematics, Computer Science, Engineering, or another quantitative discipline from a premier institute.
• Technical certifications in SAS or SQL preferred.

Experience

5 to 7 years of relevant experience.

Foundational Skills

• Experience with SAS or SQL is required; proficiency with Python or PySpark strongly preferred. Knowledge of other data extraction tools such as Hive, HUE, or Pig is also beneficial.
• Proficiency with visualization software such as Tableau and presentation software such as PowerPoint.
• Excellent communication and organizational skills.
• Strong analytical thinking, drive, and a desire to dig in, learn, and make a difference.

Desired Skills

• Bachelor’s degree, preferably in a quantitative discipline such as mathematics, statistics, engineering, computer science, finance, or business. A postgraduate degree is a plus.
• U.S. financial services experience preferred.
• Understanding of business domains such as Fraud, Compliance, or Risk preferred.

Shift Timings

11:30 AM to 8:30 PM

Location

Mumbai, Gandhinagar, Chennai, Hyderabad