Fraud Analytics and Innovation Senior Analyst

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 a diverse and 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.

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

Job Description:
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.

As the digital landscape evolves, so too do the methods employed by criminals to perpetrate financial fraud. Money mules, individuals who unknowingly or knowingly facilitate illicit financial transactions, pose a significant threat to financial institutions. This role requires a strategic thinker with the ability to develop a deep understanding of money mule tactics and the ability to create innovative solutions to detect and prevent such activities.

Responsibilities:

• Strategy Development: Develop and implement comprehensive strategies to identify, prevent, and mitigate money mule activities. Stay abreast of emerging trends and tactics employed by money mules to ensure the effectiveness of detection strategies

• Data Analysis: Leverage data analytics tools and techniques to analyze large datasets, identify patterns, and uncover indicators of money mule activity. Develop predictive models and scoring mechanisms to prioritize potential cases

• Risk Assessment: Conduct risk assessments to identify vulnerabilities in the organization's systems and processes that may be exploited by money mules. Develop mitigation strategies to address these risks

• Collaboration: Collaborate with various departments, including compliance, fraud investigations, and operations, to ensure effective coordination and information sharing regarding money mule activities

• Reporting: Prepare regular reports on money mule detection efforts, including key performance indicators, trends, and recommendations for improvement

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

• 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

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

This position is not eligible for sponsorship.

Required Qualifications:

• 2+ years of SAS/SQL coding ability

• Intermediate Excel and PowerPoint capability

• Intermediate data science skills and working understanding of statistics and accuracy metrics

• Excellent communication and presentation skills

• Ability to interact effectively and build relationships with business partners at all levels

• Proficiency in framing problems and developing impactful solutions with minimal oversight

• Experience in managing competing priorities

Desired Qualifications:

• Fraud and/or Claims background with focus on Account Takeover a plus

• Understanding of advanced data analytics and modeling techniques

• Functional knowledge of multiple products and/or channels (e.g. Credit, Debit, Digital, Call Center, etc.)

• Master's degree in a relevant field

• Certification in fraud examination or risk management

• Experience in the financial services industry

• Knowledge of anti-money laundering regulations

• Familiarity with developing Tableau dashboards

• Experience presenting to senior leaders

• Experience with hypothesis testing and/or feature prioritization

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.

Shift:

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