Fraud Analytics and Innovation Lead Analyst

Bank of America•Chicago, IL

1d•$148,900 - $167,200•Onsite

About The Position

This role leads the development, implementation, and optimization of fraud strategies designed to minimize fraud loss exposure and reduce customer-experience impacts across payment card tokenization channels. The analyst uses data analysis to turn fraud trends into practical strategies that reduce losses while protecting customers. The work covers token provisioning, authentication, and token-based transactions as payment card tokenization expands across digital wallets, card-on-file merchants, and emerging payment channels. The position performs complex analysis to improve portfolio risk, profitability, forecasting, and operational performance. It works with Fraud Strategy, Digital, Operations, Payment Network partners, and other business and partner organizations to strengthen controls, reduce fraud losses, and improve customer experience. The role uses SQL, SAS, Tableau, and other relational databases to analyze fraud trends, evaluate strategy performance, identify emerging risks, develop mitigation strategies, and recommend policy and procedural enhancements.

Requirements

At least 3 years of strategy creation experience and/or fraud experience.
At least 3 years of SQL and/or SAS coding experience.
Experience analyzing large datasets and identifying actionable insights.
Ability to identify opportunities for improvement and work independently with minimal direction.
Ability to work in a fast-paced, dynamic environment.
Strong analytical, problem-solving, and communication skills.

Nice To Haves

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Finance, or a related field.
Advanced degree in a quantitative discipline.
Fraud strategy experience supporting payment cards, digital payments, tokenization, authentication, or account takeover.
Understanding of digital wallet ecosystems, including device wallets and network tokenization.
Familiarity with data visualization tools, preferably Tableau.
Proficiency coding in SQL, SAS, and/or Python.
Experience with Hadoop, Hive, Impala, or similar big data environments.
Understanding of statistical methods and performance measurement.
Excellent communication and presentation skills.
Experience presenting recommendations and results to senior leaders.

Responsibilities

Lead the creation, implementation, and maintenance of fraud strategies and controls designed to detect and prevent tokenization-related fraud.
Analyze fraud trends, customer behavior, transaction activity, and token lifecycle data to identify emerging threats and opportunities.
Conduct root cause analysis of fraud losses and control breakdowns.
Develop and implement fraud mitigation strategies.
Monitor strategy performance and recommend enhancements to improve fraud detection and reduce customer friction.
Evaluate data to assess fraud risk and develop actionable recommendations.
Recommend policy and procedural changes to optimize fraud performance.
Work with Fraud Strategy, Digital, Operations, Payment Network partners, and business counterparts to strengthen controls and improve customer experience.