Fraud Analytics and Innovation Senior Analyst (New Account Fraud Strategies)
Bank of America, Fort Worth, TX, United States
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.
Bank of America is committed to an in-office culture with specific requirements for office‑based attendance while offering flexibility based on role‑specific considerations. We build a successful career with opportunities to learn, grow, and make an impact. Join us!
Position Overview
This job is responsible for performing complex analysis and modeling to minimize fraud loss exposure and negative impacts to the customer experience. It utilizes systems such as Excel, SAS, SQL, Tableau, and other relational databases to provide analytical support, evaluate data for potential fraud risk, and propose policy and procedural changes within segmentation structures to produce optimal results.
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 databases, to provide analytical support on strategies and ensure goals are met.
Evaluates data to assess potential fraud risk and create 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.
Prepare 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.
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 report on 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 the 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 Communication
Problem Solving
Written Communication
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
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Bank of America is committed to an in-office culture with specific requirements for office‑based attendance while offering flexibility based on role‑specific considerations. We build a successful career with opportunities to learn, grow, and make an impact. Join us!
Position Overview
This job is responsible for performing complex analysis and modeling to minimize fraud loss exposure and negative impacts to the customer experience. It utilizes systems such as Excel, SAS, SQL, Tableau, and other relational databases to provide analytical support, evaluate data for potential fraud risk, and propose policy and procedural changes within segmentation structures to produce optimal results.
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 databases, to provide analytical support on strategies and ensure goals are met.
Evaluates data to assess potential fraud risk and create 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.
Prepare 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.
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 report on 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 the 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 Communication
Problem Solving
Written Communication
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
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