Fraud Analytics and Innovation Senior Analyst (New Account Fraud Strategies)

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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

This job is responsible for performing more complex analysis and modeling to minimize fraud loss exposure and negative impacts to the customer experience. Key responsibilities include utilizing a variety of systems, such as Excel, SAS, SQL, Tableau, and other relational data bases, to provide analytical support on strategies, ensure goals are met, and propose policy/procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and creating mitigation strategies.

Are you an analytical thinker with a passion for combating financial crime? We are seeking a motivated Client Protection Fraud Strategy Analyst to support efforts to protect our deposit products and deliver responsible growth across the client identity and onboarding space. The Deposit New Account Fraud Risk Strategies team focuses on preventing, detecting, and mitigating financial threats against checking and savings accounts while enabling a safe customer experience.

In this role, you will support the identification of fraud trends, assist in the development of mitigation opportunities, and perform analysis that helps improve the performance of our fraud detection strategies. You will work alongside senior strategists to analyze application and transaction patterns, monitor portfolio dynamics, and contribute to operational efficiency improvements.

You will be part of a team responsible for using data-driven insights to strengthen our defenses against fraudulent activity, enhance strategy performance, and support product innovation across consumer and small business deposit products.

Responsibilities:

• Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance

• Utilizes a variety of systems, such as Excel, SAS, SQL, Tableau, and other relational data bases, to provide analytical support on strategies, ensure goals are met

• Evaluates data to assess potential fraud risk and creating mitigation strategies

• Proposes policy/procedural changes within segmentation structures to produce optimal results

• Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs

• Leads the coordination of the production of product performance reports and updates for senior management

In this role, you will:

• Support monitoring and analysis of deposit application fraud trends and portfolio performance.

• Conduct deep-dive investigations into patterns, anomalies, and emerging threats.

• Contribute analytical insights, develop mitigation strategies and improve detection effectiveness.

• Assist in developing and maintaining application and transaction monitoring routines.

• Support cross-functional collaboration by preparing data, insights, and documentation for senior strategists, operations, technology, and product teams.

• Assist in evaluating internal and external data sources that may enhance detection capabilities, coordinating closely with Fraud Technology partners.

• Help ensure risk controls and best practices are properly implemented within assigned workstreams.

• Participate in defect reviews and case analysis to identify strategy or procedural enhancement opportunities.

• Contribute to fraud requirements documentation, testing support, and performance validation for new initiatives.

• Monitor KPI dashboards and provide reporting to help assess the effectiveness of fraud strategies.

• Support strategy optimization efforts by analyzing rule performance, false positives, and customer impact.

• Identify process improvement opportunities that increase efficiency or analytic rigor.

• Partner with claims, policy, and product teams to deliver basic analysis and insights that inform decision making.

*** This position is not eligible for sponsorship.***

Required Qualifications:

• 1–3+ years of SQL and/or SAS querying/coding experience

• 1–3+ years of experience in Fraud Prevention, Strategy, Risk, Policy, or Operations

• Experience with Excel, PowerPoint, and/or Tableau

• Strong analytical and problem-solving skills

• Effective written and verbal communication skills

• Ability to work independently on assigned analyses and deliver accurate results

• Comfortable working in a fast-paced, dynamic environment

• Ability to break down problems and contribute to development of clear action plans

• Experience interpreting data and presenting findings to various audiences

Desired Qualifications:

• BA/BS in Data Science, Computer Science, Statistics, Business, or related field

• 3–5+ years of SQL or SAS experience

• Copilot/ChatGPT experience

• Experience supporting fraud strategy, risk analysis, or related analytics

• Growing fraud subject matter knowledge in areas such as KYC, Identity Theft, First-Party Fraud, or Synthetic Identity

• Experience working with deposit products or digital money movement channels

• Familiarity with data visualization and analytics tools

Skills:

• Business Analytics

• Business Intelligence

• Data Quality Management

• Fraud Management

• Monitoring, Surveillance, and Testing

• Collaboration

• Data Visualization

• Oral Communications

• Problem Solving

• Written Communications

• Analytical Thinking

• Critical Thinking

• Data and Trend Analysis

• Innovative Thinking

• Research

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Internal employees who are currently working from home are still eligible to apply. However, if selected for the role, you may be required to work onsite in accordance with the workplace excellence policy.

Shift:

1st shift (United States of America)

Hours Per Week:

40