Bank of America is hiring for an FRESHER entry level Assistant Manager Fraud Analytics and Data Science role in India

Position: Assistant Manager Fraud Analytics and Data Science

Company: Bank of America

Location: Mumbai, Gurugram, Hyderabad, Gandhinagar, India

Job type: Full-time

Job mode: Onsite / In-office

Job requisition id: JR-26030448

Years of experience: Fresher / 0 - 3 years

Company description

• Bank of America is a premier global financial institution serving individuals, small businesses, wealth management clients, and large institutions.

• Guided by a purpose to make financial lives better, the bank drives Responsible Growth across all operational facets and global markets.

• Global Business Services delivers centralized technology and operations capabilities for Bank of America's international lines of business.

• Operating in India through BA Continuum India Private Limited, the organization maintains operations across Mumbai, Gurugram, Hyderabad, and GIFT City.

• The company actively maintains a collaborative in-office corporate culture designed to support employee engagement, teamwork, and personal growth.

• Fostering an inclusive workplace, the organization embraces diverse backgrounds including veterans, community college graduates, and skilled professionals.

• Comprehensive employee support programs encompass competitive compensation, career development paths, and holistic health and financial wellness benefits.

• The division emphasizes flawless execution, risk mitigation, operational resilience, and ongoing technical innovation across all standard banking operations.

• The organization upholds stringent principles of equal opportunity, non-discrimination, and accessibility for all employees and global applicants.

• Committed to community impact, Bank of America creates sustainable financial solutions that positively affect clients, teammates, and global shareholders.

Profile overview

• The Assistant Manager in Fraud Analytics and Data Science delivers high-impact quantitative support to global financial operations.

• Operating within the FEO division, this role designs and implements solutions requiring keen analytical judgment and business acumen.

• Key responsibilities center on consumer borrowing strategies, credit card portfolios, digital analytics, and wealth management support functions.

• The incumbent creates, runs, and maintains complex daily, weekly, and monthly analytical dashboards for global business leadership.

• Regular communication with international onshore teams ensures seamless requirement gathering, clarification, and insight delivery across regions.

• Positioned within the Consumer Client Protection Organization, the role collaborates across fraud analytics, operations, and claims management.

• The Fraud Detection Operations team identifies and resolves complex transaction exceptions, new account fraud, and deposit irregularities.

• The Consumer and Small Business Claims team addresses credit and debit card fraud claims, billing disputes, and payment inquiries.

• Key operational activities include chargeback processing, loss allocation, hold auditing, defect analysis, and merchant credit adjustments.

• The Assistant Manager builds and deploys statistical architectures to identify emerging risk patterns, minimize operational losses, and optimize efficiency.

• Advanced quantitative strategies are applied to consumer credit behavior, delinquency forecasting, loss modeling, and operational bottleneck reduction.

• The position offers direct engagement with cutting-edge analytical tools, enterprise data warehouses, and machine learning models in banking.

• Associates actively participate in model governance, evaluating model accuracy, conceptual soundness, and mitigation strategies for identified gaps.

• Working within a highly skilled team, the professional directly contributes to enterprise risk management and customer data protection.

• The role provides an outstanding career accelerator for early-career analytics professionals aiming to lead data innovation in banking.

Qualifications

• Holds a Master of Business Administration, Post Graduate Diploma in Management, or Master's degree in Quantitative Disciplines.

• Academic specializations in Economics, Quantitative Techniques, Mathematics, Statistics, or Data Sciences are strongly aligned with expectations.

• Open to fresh graduates or candidates with 0 years of professional work experience demonstrating strong foundational skill sets.

• Demonstrates foundational understanding of interfacing mathematical and analytical models with software applications for real-world usability.

• Prior coursework or exposure to factor models, statistical analysis, and machine learning frameworks is preferred.

• Possesses strong business process understanding and structured analytical problem-solving skills to navigate complex operational workflows.

• Proficient in standard technical office software tools, including Microsoft Excel and Microsoft PowerPoint for data evaluation and presentation.

• Exhibits strong verbal and written communication skills suitable for routine international stakeholder management and reporting routines.

• Basic understanding or background familiarity with the global banking industry, financial instruments, and retail credit is beneficial.

• Capable of extracting, transforming, validating, and profiling extensive datasets across diverse enterprise data repositories and source systems.

• Familiarity with database systems, loan servicing software platforms, card transaction engines, and central risk analytics repositories.

• Basic knowledge of relational database structures, custom querying techniques, and structured analytical pipeline construction workflows.

• Understanding of core credit risk metrics, including Probability of Default, Loss Given Default, and Exposure at Default.

• Demonstrates critical thinking ability to assess model logic, underlying assumptions, operational limits, performance stability, and documentation quality.

• Meets the mandatory minimum age requirement of 18 years at the time of application submission and onboarding.

Additional info

• Equal access and inclusive opportunities are provided to all qualified job seekers, regardless of disability status or background.

• Dedicated application assistance channels are available for individuals with disabilities requiring specific accommodations during online submission.

• Strict corporate policies maintain a workplace free from illegal drugs, unauthorized alcohol, and unlawful discrimination across all locations.

• Non-discrimination protections extend across race, religion, color, sex, sexual orientation, gender identity, age, national origin, and disability.

• The role follows an established in-office attendance schedule to promote continuous collaboration, learning, and peer engagement.

• Hiring managers provide role-specific workplace attendance details and schedule guidelines upon candidate selection and job offer issuance.

• Flexible working accommodations for disability or religious reasons must be formally submitted prior to the official start date.

• Standard employee compensation plans, health insurance coverages, and supplemental benefits are governed by official corporate plan documents.

• Financial products and investment services offered through Merrill Lynch or affiliated entities carry inherent risks and lack FDIC insurance.

• The role operates out of primary facilities in Mumbai, Gurugram, Hyderabad, or GIFT SEZ Gandhinagar with modern infrastructure.

• Candidates will experience robust onboarding and ongoing professional mentorship tailored to fast-track career growth in analytics.

• Cross-functional collaboration exposes associates to Risk, Finance, Technology, Compliance, and Product Management business units.

• Enterprise data security practices require adherence to global risk governance, regulatory compliance, and information protection protocols.

• Successful team members gain direct exposure to global banking architectures, proprietary fraud filters, and advanced machine learning tools.

• Application processing requires timely submission through official Bank of America talent career portals and verified recruitment forms.

Please click here to apply.