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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed build a career and contribute to our shared success. This includes attracting and developing exceptional talent recognizing and rewarding performance and supporting our teammates physical emotional and financial wellness through affordable competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service community college education or a wide range of work and life experiences. These journeys foster resilience leadership and innovation strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration engagement and career development. Our approach includes clear in-office expectations while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

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.

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

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

LOB Specific Information:

Job Description:

The Alert Prioritization team within Client Protection is seeking an experienced Policy Lead to join a high-impact growing organization. This role plays a critical part in protecting client accounts while driving operational efficiency reducing customer friction and minimizing fraud losses across Consumer and Small Business products. This role is designed for a senior individual contributor who operates with significant autonomy and is seen as a subject-matter leader within Client Protection. This role will be primarily responsible for owning policy and procedures for the alert prioritization team while providing dedicated project management support for fraud initiatives.

This is a high-visibility position with broad exposure across the fraud lifecyclefrom early detection and alert generation through resolution and treatment. The role partners closely with Operations Strategy Policy and Technology teams to deliver scalable improvements in fraud risk management customer experience and operational performance.

Analysts in this role do more than analyze datathey lead change influence strategy and translate insights into meaningful initiatives that strengthen digital trust and keep the organization ahead of emerging fraud threats.

Key Responsibilities:

• Partner with cross-functional stakeholders across Client Protection strategy policy operations and technology to drive priority business initiatives
• Lead and support funded technology initiatives across multiple Lines of Business including new product launches and enhancements to client contact and treatment capabilities
• Own the delivery of fraud risk initiatives partnering with project teams while remaining accountable for outcomes and performance improvement.
• Provide quality oversight of alert prioritization processes including defect reviews and performance monitoring
• Apply independent judgment and discretion to assess risk manage competing priorities and influence outcomes at multiple levels of the organization
• Proactively manage fraud risk by responding to immediate threats while identifying emerging risks vulnerabilities and shifts in the fraud landscape
• Perform complex data and trend analysis to assess product performance fraud outcomes operational efficiency and portfolio health
• Develop insights and recommendations that support informed decision-making and improved risk and customer outcomes
• Coordinate the production of executive-level reporting and product performance updates for senior leadership

Required Qualifications:

• 1 years of project or change management experience including managing formal initiatives from planning through execution
• Demonstrated strategic thinking with the ability to break down complex problems into clear actionable strategies
• Strong understanding of fraud typologies including first-party fraud third-party fraud scams and mule activity
• Technical acumen with the ability to understand end-to-end data and process flows particularly decision engines alerting strategies and operational workflows
• Proven ability to influence outcomes and drive results in a highly matrixed environment
• Exceptional communication skills with the ability to operate both deep in the details and at an executive level
• Advanced proficiency in Microsoft Excel PowerPoint and related tools with experience synthesizing complex analysis into executive-ready materials

Desired Qualifications:

• Bachelors degree
• 2 years of experience in fraud detection or fraud risk management
• 2 years of FLASH system experience across multiple Fraud Lines of Business
• Prior experience in retail banking transactional analysis or fraud strategy
• Strong understanding of customer behavior risk signals and operational tradeoffs
• Experience in reporting performance monitoring or operational efficiency analytics with a focus on insight-led optimization

Shift:

1st shift (United States of America)

Hours Per Week:

40

Pay Transparency details

US - IL - Chicago - 110 N Wacker Dr - Bank Of America Tower Chicago (IL4110) US - MA - Boston - 100 Federal St - 100 Federal St Lp (MA5100)

Pay and benefits information

Pay range

$100000.00 - $133600.00 annualized salary offers to be determined based on experience education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits access to paid time off resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.