Manager, Payments and Fraud Analytics

AXS • Frisco, TX

2d • Onsite

About The Position

AXS is seeking a Manager, Payments and Fraud to lead portfolio-level analytics for payment performance and fraud risk. The role uses advanced SQL, data visualization, and payments expertise to identify opportunities to increase authorization and conversion, reduce processing costs, prevent fraud and chargeback losses, and improve payment reliability across markets, channels, and providers. It focuses on analyzing portfolio trends and turning findings into business, product, routing, and risk recommendations rather than reviewing individual transactions for accept-or-decline decisions.

The manager partners with payment networks and providers, including Visa, Mastercard, American Express, ACI, Braintree, and Stripe, as well as internal Product, Engineering, Finance, Operations, and Fraud Prevention teams. The role initially leads through expertise and cross-functional influence, with expected direct people-management responsibility as the analytics team grows.

Requirements

• BA/BS degree in Analytics, Data Science, Statistics, Computer Science, Economics, Finance, Business, or a related field; equivalent relevant experience may be considered.
• 4–6 years of hands-on advanced SQL analysis using large transaction-level datasets and developing dashboards or data visualizations for business decisions.
• 4–6 years of progressive experience in payments analytics, fraud analytics, payment operations, risk, or a closely related field.
• 4–6 years of experience leading complex cross-functional initiatives, coordinating analysts’ work, or managing and developing team members.
• Advanced SQL skills, including joining, validating, segmenting, and interpreting large payment and fraud datasets.
• Advanced data visualization and dashboard development skills using Tableau, Looker, or comparable tools; experience with Snowflake or a similar cloud data platform.
• Strong knowledge of card payments, authorization and decline behavior, routing, processing economics, interchange and network fees, settlement, chargebacks, disputes, and fraud controls.
• Working knowledge of payment networks and processors or gateways, including Visa, Mastercard, American Express, ACI, Braintree, and Stripe.
• Knowledge of tokenization, 3DS, alternative payment methods, cross-border payments, and customer checkout experience.
• Ability to frame ambiguous business questions, perform root-cause analysis, quantify financial and customer impact, and recommend practical actions.
• Ability to communicate complex analysis to technical and nontechnical audiences and influence decisions across internal functions, vendors, and senior leadership.
• Leadership skills to set priorities and standards, coordinate work, coach analysts, and build a high-performing analytics function as the team grows.

Responsibilities

• Lead analysis of payment authorization, decline, conversion, routing, settlement, and processing-cost data; identify trends and quantify opportunities by market, issuer, network, gateway, payment method, and customer segment.
• Analyze portfolio-level fraud, chargeback, dispute, and loss data; identify emerging patterns and control gaps, estimate financial exposure, and recommend changes to fraud strategies, rules, tools, and operating processes.
• Build and maintain KPI definitions, SQL analyses, dashboards, and executive reporting covering payment performance, fraud, chargebacks, costs, and customer impact; establish data-quality controls and measurement methods.
• Develop business cases and lead cross-functional optimization initiatives, experiments, and post-implementation measurement for routing, authorization, fraud controls, payment methods, tokenization, 3DS, and cross-border performance.
• Monitor high-volume on-sales and significant payment or fraud events; perform root-cause analysis, coordinate stakeholders, and turn incidents into corrective actions and longer-term improvements.
• Partner with payment networks, processors, gateways, and other providers to review performance, investigate issues, evaluate capabilities, and follow through on agreed service and optimization actions.
• Advise Product, Engineering, Finance, Operations, Fraud Prevention, and senior leaders on priorities, tradeoffs, and policy or process changes; communicate findings and gain support for recommendations with financial and customer impact.
• Establish the analytics function’s operating model, priorities, documentation, and performance standards; coordinate analysts’ work and develop, coach, and manage direct reports as positions are added.

Benefits

• Medical, dental, and vision insurance
• Paid holidays, vacation, and sick time
• Company-paid basic life insurance and voluntary life insurance
• Parental leave
• 401(k) plan with a current employer match of 3%
• Flexible spending and health savings account options
• Wellness offerings
• Bonus eligibility under the current bonus plan requirements
• Training and education reimbursement
• Employee Resource Groups that foster connection, inclusion, and professional growth
• Volunteer opportunities and community engagement programs
• Full-time benefits eligibility begins on the first day of employment

What This Job Offers

• Job Type: Full-time
• Career Level: Manager