Fraud Analytics and Innovation Senior Analyst - Digital Fraud & Scam

Bank of America; Jacksonville (FL); On-site; USD 90,000 - 120,000; Full time

Job summary

Bank of America is seeking a fraud analytics professional to perform complex analyses driving risk reduction and profitability. You will use SAS, SQL, and Excel to build models, evaluate data, and propose policy changes within segmentation structures.

The role involves coordinating reports for senior management and supporting biometrics strategy enhancements. The position requires 2+ years of analytical experience, proficiency in SAS/SQL/Excel, and strong communication skills to interact with

Qualifications

• 2+ years of analytical experience (Payment background preferred).
• Proficient in SAS or SQL and Excel.
• Strong quantitative, critical thinking, and analytical skills.

Responsibilities

• Perform complex analyses of financial data to assess risk and profit opportunities.
• Develop models to minimize fraud loss and safeguard customer experience.
• Utilize SAS/SQL/Excel and Tableau for analytical outputs and reporting.
• Collaborate with senior management to propose policy changes based on data.
• Lead the production of product performance reports for executives.
• Run validation and testing of fraud strategies and machine learning ideas.

Skills

Business Analytics

Business Intelligence

Data Visualization

Fraud Management

Data Analysis

Problem Solving

Education

Bachelor's degree in quantitative field

Tools

SAS

SQL

Excel

Job description

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 Summary

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.

Responsible for performing more complex analysis and strategy development for multiple money movement products with the goal of maximizing profits and asset growth and minimizing risk and operating losses and/or other financial and marketing exposures.

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.
• Develops complex program models to extract data and uses multiple databases to acquire statistical and financial data.
• Support biometrics capability enhancements and strategy design.
• Build and develop logic for strategy.
• Utilizes portfolio trends to propose strategy and policy changes within segmentation structure to produce optimal results.
• Role would also include project scope leadership where candidate would be responsible for providing fraud requirements, testing, and development of strategies.
• Excels at risk/reward trade off.
• Participates in the rollout of leading-edge machine learning technology.
• Duties primarily include the regular use of discretion, independent judgment, the ability to communicate with multiple levels of management and the utilization of core leadership behaviors.

Required Qualifications

• 2+ years of analytical experience (Payment background preferred)
• Proficient in SAS or SQL and Excel
• Strong quantitative, critical thinking, and analytical skills
• Ability to communicate and interact with a high degree of professionalism with executive level personnel across the business
• Ability to work independently as well as part of a virtual team
• Innovative mindset with the ability to challenge the status quo
• Ability to proactively identify, analyze, and improve upon existing processes for optimization and to meet deadlines

Desired Qualifications

• 3+ years of fraud experience
• Bachelors degree in a quantitative discipline such as mathematics, statistics, operations research, finance, or business
• 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.)

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

Shift

1st shift (United States of America)

Hours Per Week

40