Assistant Manager

Role overview

Responsibilities

• Develop fraud strategies using statistical and analytical techniques, including decision trees, random forests, and other quantitative methods.
• Identify internal and vendor-provided data sources to enrich fraud detection and decision systems.
• Coordinate with Fraud Technology partners on new data and detection strategies.
• Optimize detection strategies to reduce false positives and improve return on investment and performance.
• Develop ad hoc and standardized MIS reporting.
• Work across credit card, debit card, deposit, check, reporting, account takeover, and digital products.

Required experience and capabilities

• 2–5 years of relevant experience using SAS and SQL for data analytics.
• Advanced to expert-level capability in SAS and SQL.
• Strong analytics experience and the ability to build or deploy analytical solutions.
• Strong organizational, project management, and communication skills.

Preferred qualifications

• An advanced degree, preferably in statistics, mathematics, computer science, or engineering.
• U.S. financial services experience.
• Experience in fraud, compliance, risk, or cybersecurity.
• Technical certification in SAS or SQL.
• Familiarity with Python, R, Java, Hive, or HUE.
• A proven record of analytical solutions producing material financial results.
• A bachelor’s degree in a quantitative discipline; a postgraduate degree is a plus.

Work timings

• Listed work timings are 11:30 AM to 8:30 PM and 12:30 AM to 9:30 PM.

Job location and workplace

• The listed job locations are Mumbai, Chennai, and Gift.
• Bank of America describes an in-office culture with clear in-office expectations and role-specific flexibility.