Fraud Analytics and Innovation Lead Analyst

Fraud Analytics and Innovation Lead Analyst – Fraud Strategy 1 week ago • Be among the first 25 applicants This range is provided by Bank of America. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base Pay Range $148,900.00/yr – $165,300.00/yr Job Description 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 Job Summary This role is responsible for performing more complex analysis aimed at improving portfolio risk, profitability, performance forecasting, and operational performance for consumer products and related divisions, such as credit cards. Key responsibilities include applying knowledge of multiple business and technical‑related topics, independently driving strategic improvements, large‑scale projects, and initiatives. Job expectations include working with business counterparts within the line of business and partner organizations (e.g., Risk, Product, etc.). We are searching for a motivated fraud strategy analyst to help drive real change in an organization and prevent, detect and mitigate financial threats against our checking and savings products. Responsibilities Performs complex analysis of financial models, market data, and portfolio trends to improve portfolio risk, profitability, performance forecasting, and operational performance. Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject‑matter expert on multiple business and technical‑related topics. Identifies business trends based on economic and portfolio conditions and communicates findings to senior management. Supports execution of large‑scale projects, such as platform conversions or new project integrations, by conducting advanced reporting and drawing analytics‑based insights. Responsible for oversight of deposit product application fraud, trend identification and development of mitigation strategies to manage fraud risk. Ensures effective governance and cadence on progress reviews, communication, and stakeholder updates. Guarantees seamless hand‑off to operations team for new processes. Provides recommendations on mitigation efforts, ensuring monitors are in place, and will self‑create initiatives as needed. Collaborates with cross‑functional teams to integrate fraud detection measures into existing systems and processes. Stays abreast of industry trends, emerging threats, and technological advancements to continuously enhance fraud prevention methodologies. Analyzes data and conducts investigations to identify patterns, trends, and anomalies indicative of potential fraud. Identifying new sources of data (internal or vendor‑provided) that can enrich existing detection processes and allow for new detection strategies to be developed. Ensures proper risk controls are deployed while adhering to best practices. Provides oversight on defect reviews of third‑party/scam loss cases to identify gaps in fraud strategy and/or procedural adjustments. Provides fraud requirements, testing, and development of strategies for new projects and endeavors. Designs and monitors key fraud metrics and KPIs to evaluate the effectiveness of fraud prevention. Monitors strategy performance and optimizes existing detection strategies to reduce false positives and improve ROI. Identifies process improvements and efficiencies via data analysis. Partners with claims, policy, strategy, and product teams to deliver data insights and analysis that inform critical decisions and help achieve goals. Required Qualifications 3+ years of experience in SQL and SAS querying/coding. 3+ years of experience in fraud prevention and strategic risk mitigation. Intermediate Excel, PowerPoint and/or Tableau experience. Demonstrated strong analytical skills. Strong organizational and written/oral communication skills. Self‑starter capable of generating meaningful work and driving results. Ability to work in a fast‑paced, dynamic environment. Strong strategic thinking skills with a track record of breaking complex problems down and developing clear strategy/action plans. Proven track record of proactively identifying optimization opportunities for existing processes. Ability to develop and/or optimize mitigation strategies or manage large fraud programs/initiatives. Aptitude for working across functional lines and organizational levels to drive results. Ability to present, lead, support, and influence senior management and business stakeholders. Desired Qualifications BA/BS in Computer Science, Data Science, Statistics, or a related field. Business analysis / Consulting experience. Fraud subject‑matter expertise in KYC, KYB, Identity Theft, First‑Party Fraud and Synthetic Identities. 5+ years of SAS or SQL coding experience. 5+ years of experience in fraud prevention and strategic risk mitigation. Background in Technology, Agile, Systems Integration Testing (SIT), or User Acceptance Testing (UAT). Leadership and management skills, including development of teams and individuals. Experience with multiple banking products such as Digital Money Movement (Zelle, ACH, Wires), Deposit (DDA, Checks), Cards (Credit and Debit). Skills Analytical Thinking Business Analytics Data and Trend Analysis Fraud Management Problem Solving Collaboration Innovative Thinking Monitoring, Surveillance, and Testing Presentation Skills Risk Management Data Visualization Interpretation of Relevant Laws, Rules, and Regulations Issue Management Oral Communications Written Communications Shift 1st shift (United States of America) Hours Per Week 40 Seniority Level Mid‑Senior level Employment Type Full‑time Job Function Product Management and Marketing Industry Banking #J-18808-Ljbffr