Assistant 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. 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

ARQ supports global businesses of the Bank with solutions requiring judgment application, sound business understanding and analytical perspective. We support onshore teams in the areas of Financial Research & Analysis, Quantitative Modeling, Risk Management and Prospecting Support provide solutions for revenue enhancement, risk mitigation and cost optimization. The division comprising of highly qualified associates operates from four locations i.e. Mumbai, Gurgaon, Hyderabad and GIFT.

Individual will be closely working with teams across Consumer and Small Business Card portfolios, Digital Analytics, Consumer Credit Strategies team providing qualitative and quantitative analytical support to Consumer Credit Borrowing Strategies team on the state side.

GWIM Analytics and Reporting team, will be involved in designing, running and maintaining daily, weekly and monthly dashboards and provide meaningful insights on current business trends. The incumbent will be required to liaise with onshore partners across global locations on a regular basis to understand the requirements, get fresh reporting requirement, and provide clarifications, among other things.

Fraud detection team reviews potentially fraudulent transactions exceptioned out by the fraud filters and decisions them basis judgmental review for products like New Accounts, Checks, Deposits & Online. The team also provides fraud support through activities like closure fulfillment of deposit accounts & loss allocation as well as specialized fraud work like defect analysis, secondary closure review and hold audit.

C&SBC is responsible for the research and timely resolution of fraud claims , billing disputes & Payment queries on consumer, commercial and small business credit/debit card account. The key actions involves processing Chargeback to recover money from merchant, accepting or denying merchant response on chargeback processed and various other exception actions like providing provisional credit, Fraud reporting and merchant Credit adjustment.

Responsibilities

• Develop and enhance sophisticated analytical systems that support enterprise-wide banking strategies, including credit risk, fraud analytics, customer segmentation, and operational efficiency.
• Research, extract, and integrate datasets from multiple banking data warehouses and source systems (e.g., loan servicing systems, card platforms, deposits, risk engines).
• Collaborate with cross-functional partners-Risk, Finance, Technology, Compliance, and Product-to convert business requirements into analytical deliverables.
• Conduct end-to-end data management activities, including data collection, validation, profiling, transformation, and quality assurance for critical banking datasets.
• Design, build, and automate executive dashboards and reports using BI tools, applying statistical techniques to highlight portfolio performance and emerging risk trends.
• Perform deep-dive portfolio analysis on credit behavior, delinquency trends, loss forecasting, segmentation, and operational bottlenecks to drive strategic recommendations.
• Support the development, optimization, and tuning of ETL pipelines, production jobs, and analytical processes across the risk and operations lifecycle.
• Contribute to risk modeling initiatives including PD/LGD/EAD calculations, early warning indicators, stress testing, and model monitoring while adhering to regulatory and governance standards.
• Critically assess and challenge models on conceptual soundness, assumptions and limitations, data, developmental evidence in support of modeling choices, performance, implementation, and documentation.
• Implement model governance for various lines of businesses that involves monitoring model performance and identifying plans to mitigate performance issues.
• Understand the core methodology in AI solutions and the context in which it will be deployed to identify potential risks/gaps.
• Build predictive models and machine-learning based models as needed and propose solutions and strategies to tackle business challenges.

Requirements

Education: MBA/ PGDM / Maters in Economics / Quantitative Technique & Economics/ Mathematics Statistics/ Data Sciences

Certification if any- NA

Experience Range- Fresher / 0 years

Foundational Skills

• Knowledge about interfacing models with software applications for enhancing usability
• Knowledge of factor models and machine learning will be preferred, Business process skills,
• Analytical problem solving, Technical skills (MS Office: Excel & PowerPoint), Communication skills

Good to have skills

• Banking industry knowledge/ background would be an added advantage