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. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

• Develop and implement robust third-party fraud and scam detection program rooted in digital space to safeguard the organization against financial fraud.
• Provide recommendations on mitigation efforts, ensuring monitors are in place, and will self-create initiatives as needed.
• Lead a team of fraud analysts in the identification, investigation, and mitigation of fraud activity.
• Collaborate with cross-functional teams to integrate fraud detection measures into existing systems and processes.
• Stay abreast of industry trends, emerging threats, and technological advancements to continuously enhance fraud prevention methodologies.
• Analyze data and conduct investigations to identify patterns, trends, and anomalies indicative of potential fraud.
• Identifying new sources of data (internal or vendor-provided) that can enrich our existing detection processes, be added to our decision systems, and allow for new detection strategies to be developed. Will require close coordination with partners in Fraud Technology.
• Drive the development of new models designed to detect fraud activity.
• Ensuring proper risk controls are deployed, while adhering to best practices.
• Provide oversight on defect reviews of 3rd party/scam loss cases to identify any gaps in Fraud strategy and/or procedural adjustments.
• Providing fraud requirements, testing, and development of strategies for new project and endeavors
• Lead the team to develop, implement, and continuously improve fraud detection algorithms and systems.
• Perform regular audits and analysis of transaction data to detect new fraud trends.
• Guiding team to develop new fraud strategies using statistical and analytical techniques. Goal will be to identify and mitigate new and emerging fraud threats.
• Design and monitor key fraud metrics and KPIs to evaluate the effectiveness of fraud prevention.
• Monitor Strategy performance and Optimization of existing detection strategies to determine areas where rules can be adjusted to decline fewer false positives and improve the ROI and overall performance of our fraud strategies.
• Systems Integration: Integrate fraud detection systems with core banking and transaction processing systems using APIs and middleware solutions. Collaborate with IT and software development teams to ensure seamless integration and functionality of fraud management systems. Manage and optimize the performance of fraud detection systems and tools.
• Policy and Strategy Development: Stay updated with the latest fraud trends, regulatory requirements, and best practices. Lead the creation and refinement of fraud detection and prevention strategies.
• Work closely with compliance, legal, risk management, and other relevant departments to align fraud management efforts with organizational goals. Conduct training sessions and workshops to educate staff on fraud detection techniques and policies.
• Identify process improvements and efficiencies via data analysis.
• Deliver accurate metrics related to fraud and claim activity. Validate the integrity and quality of data required for performing analysis.
• Partner with claims, policy, strategy, and product teams to deliver data insights and analysis that inform critical decisions and help achieve goals.

• Diversity & Inclusion Champion: Models an inclusive environment for employees and clients, aligned to company D&I goals.
• Manager of Process & Data: Demonstrates deep process knowledge, operational excellence and innovation through a focus on simplicity, data based decision making and continuous improvement.
• Enterprise Advocate & Communicator: Communicates enterprise decisions, purpose, and results, and connects to team strategy, priorities and contributions.
• Risk Manager: Ensures proper risk discipline, controls and culture are in place to identify, escalate and debate issues.
• People Manager & Coach: Provides inspection, coaching and feedback to motivate, differentiate and improve performance.
• Financial Steward: Actively manages expenses and budgets in alignment with objectives, making sound financial decisions.
• Enterprise Talent Leader: Assesses talent and builds bench strength for roles across the organization.
• Driver of Business Outcomes: Delivers results by effectively prioritizing, inspecting and appropriately delegating team work.

• 3+ years of experience in advanced to expert level in SQL and SAS
• 7+ years of work experience in large financial institution with specialization in data analytics
• 5+ years of experience in managing teams
• Ability to work in a fast-paced, dynamic environment is critical
• Must have exceptional organizational, project management and communications skill
• Candidate must have a proven track record of building and deploying analytical solutions that have resulted in material financial results
• Ability to work independently as well as effectively work in teams with individuals with a variety of skills and backgrounds
• Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes
• Basic understanding of 1st and 3rd party fraud (claims to charge-off timing, chargeback recovery rights, etc.)
• Proven strong analytical and communication skills

• Experience in managing fraud for digital products (Zelle, Wires, ACH, Bill pay)
• Have familiarity with other programming languages such as Python, R, or Java. Knowledge of data extraction tools such as Hive or Hue will be useful.
• Experience in Statistical model utilization
• 3+ years of decision tree development
• Expertise in fraud detection and management platforms, specifically SAS Fraud Management and creation of user defined variables for rule development.
• Experience in working with tools like SAS E-miner and use machine learning models to identify patterns and anomalies in transaction data indicative of fraudulent activity.
• Bachelor's degree, preferably in a quantitative discipline such as mathematics, statistics, operations research, engineering, computer science, finance or business.

• Analytical Thinking
• Business Analytics
• Data Mining
• Fraud Management
• Business Process Analysis
• Critical Thinking
• Influence
• Relationship Building
• Strategy Planning and Development
• Business Case Analysis
• Issue Management
• Leadership Development
• Process Performance Measurement
• Recruiting