Fraud Analytics and Innovation Senior Analyst (Financial Center Fraud Strategy)

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.

As a Financial Center Fraud Strategy Analyst within the Client Protection organization, you will leverage your technical expertise and strategic thinking to solve complex business challenges and identify opportunities to strengthen our defenses. The Financial Center Fraud team focuses on detecting and preventing criminals who impersonate customers and attempt to steal funds at the teller counter. You will join a dedicated team of fraud professionals committed to stopping criminal activity and protecting our customers.

In this role, you will analyze complex and rapidly evolving fraud problems, working to stay one step ahead of emerging tactics. You will design and optimize sophisticated fraud defenses that minimize customer impact while maximizing loss avoidance. You will collaborate across multiple partner organizations and represent the team as a subject matter expert. We are seeking someone with strong communication skills, sound business judgment, and a results oriented mindset who thrives in a fast paced, highly adaptive environment.

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

• Strategy Development: Develop and implement comprehensive strategies to identify, prevent, and mitigate deposit fraud activities

• Stay abreast of emerging trends and tactics 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 deposit fraud 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 fraudsters. 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

• Reporting: Prepare regular reports including key performance indicators, trends, and recommendations for improvement

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

Required Qualifications:

• 2+ years SAS/SQL coding experience

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

• Intermediate Excel and PowerPoint capability

• Excellent communication and presentation skills

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

• Experience in managing competing priorities

Desired Qualifications:

• Advanced SAS/SQL coding ability

• Fraud and/or Claims with focus on Deposit Fraud 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.)

• Bachelor's/Master's degree in a relevant field.

• Certification in fraud examination or risk management.

• Experience in the financial services industry

• 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.

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