Manager, Payments and Fraud Analytics
About The Position
AXS is seeking a Manager, Payments and Fraud to lead macro-level analytics for payment performance and fraud risk. Using advanced SQL, data visualization, and payments expertise, the manager identifies opportunities to increase authorization and conversion, reduce processing costs, prevent fraud and chargeback losses, and improve payment reliability across markets, channels, and providers. This is a portfolio analytics role—not a transaction-review position making accept-or-decline decisions on individual orders—and turns analysis into business, product, routing, and risk recommendations. 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. Initially, the role leads through expertise and cross-functional influence; it is expected to take on direct people-management responsibility as the analytics team grows. The position establishes the analytics function’s operating model, priorities, documentation, and performance standards.
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, and 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 teams, vendors, and senior leadership.
- Leadership skills to set priorities, establish standards, coordinate work, coach analysts, and build a high-performing analytics function as the team grows.
Responsibilities
- Analyze payment authorization, decline, conversion, routing, settlement, and processing-cost data, identifying trends and quantifying 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, size financial exposure, and recommend changes to fraud strategies, rules, tools, and operating processes.
- Build and maintain KPI definitions, SQL analyses, dashboards, and executive reporting for 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 payment routing, authorization uplift, fraud controls, payment methods, tokenization, 3DS, and cross-border performance.
- Monitor high-volume on-sales and material payment or fraud events, perform root-cause analysis, coordinate stakeholders, and translate 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 hold partners accountable for 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 build support for recommendations.
- Establish the analytics function’s operating model, priorities, documentation, and performance standards; coordinate analyst 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.
- Eligible full-time employees can access benefits on their first day of employment.
- Bonus eligibility under the current bonus plan requirements.
- Training and education reimbursement.
- Employee Resource Groups and volunteer and community engagement opportunities.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
