Cons Prod Strat Analyst III - Global Payment Operations Fraud Analytics

Bank of America; Kennesaw (GA); On-site; USD 70,000 - 100,000; Full time

Job summary

Bank of America in the United States is seeking an analytic professional to enhance fraud risk assessment, data management, and reporting across multiple platforms. You will leverage SQL, SAS, and BI tools to support strategy and policy changes within segmentation structures, aiming to minimize loss and improve customer outcomes.

The role requires data analytics experience, scripting skills, and the ability to work with global teams under tight deadlines.

Qualifications

• Bachelor's degree or equivalent experience in a related field.
• 1+ years experience with SQL/SAS.
• Intermediate SQL knowledge; experience with TOAD and SQL Server.

Responsibilities

• Create/update business rules to minimize false-positive fraud alerts.
• Coordinate multiple ongoing initiatives and capture project requirements.
• Analyze alerts daily and develop strategies using pattern matching and trends.
• Generate ad hoc data reports for the team.
• Collaborate with technology teams to implement changes and automate processes.
• Ensure data accuracy and controls for business insights across products.
• Develop data governance policies and manage data compliance relationships.
• Escalate and resolve data-related incidents and inquiries to inform decisions.
• Produce product performance reports for senior management.

Skills

Business Analytics

Business Intelligence

Data Quality Management

Fraud Management

Monitoring

Data Visualization

Problem Solving

Written Communications

Analytical Thinking

Critical Thinking

Data and Trend Analysis

Innovative Thinking

Research

Education

Bachelor's degree in Computer Science, Data Management, Statistics or related fields

Tools

TOAD

SQL Server

Python

Java

VB

SAS

Excel

PowerBI

Tableau

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.

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 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 and procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and create mitigation strategies.

Responsibilities:

• Primary responsibility is to create / update business rules to minimize the false-positive commercial Fraud alerts to improve efficiency and effectiveness of the CoE’s alert review process.
• Manage the multiple on-going initiatives by attending calls from various projects, understand the commercial Fraud needs from the projects, Provide requirements to the projects and track the status of these projects.
• Analyze alerts on a daily basis to chalk out strategies using different pattern matching and trending techniques
• Ability to query & analyze the data required for ad hoc requirements on the fly and generate reports for the team to use.
• Work with technology teams for requirements / testing and implementing changes to improve / automate processes.
• Ensures data is accurate, complete, and fit for performing data analyses through various testing procedures and data controls which help to identify business insights fit for purpose for a particular product set
• Develops and executes on Enterprise Data Management policies and standards, works across teams to ensure adherence, serves as a key point of contact for all topics related to data compliance, and manages operational elements of the (Enterprise Data Strategy Governance and Operations (EDSGO) relationship
• Manages data related incidents and identifies, communicates, and resolves or escalates issues as needed. Data inquiries include questions related to data issues, availability of data, and potential sourcing alternatives to inform
• Develops, manages, and executes on controls, ensuring tracking, monitoring, and resolution of any control breaches with data platform
• Partners with Business and Technology functions to drive the development of business and functional requirements documents and ensures strategic upstream resolution for data related incidents
• 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 coordination of the production of product performance reports and updates for senior management

Required Qualifications:

• Bachelor's degree in Computer Science, Data Management, Statistics or related fields or equivalent experience
• 1+ years experience in SQL/SAS
• Intermediate knowledge in SQL and using tools like TOAD, SQL Server
• Awareness of AI / Machine learning concepts and ability to implement such strategies
• Experience in data analytics and interpretation of large volumes of data
• Scripting experience with any language like Python, Java, VB, SAS

Desired Qualifications:

• Experience in financial fraud processes
• Data transformation / formatting experience and able to work with data in different formats
• Knowledge of Global Financial Crimes programs requirements
• Experience in Global Banking & Markets business process
• Logical thinking capabilities with a technical mind-set
• Advanced knowledge in using Microsoft Excel and MS Access
• Knowledge of PowerBI /Tableau
• Ability to prioritize, use own initiative, make quick decisions, be flexible and work independently
• Ability to work remotely, with teams spread globally, under pressure, meet deadlines and navigate change
• Ability to work and interact with people from a diverse range of backgrounds and opinions

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