Manager, Payments and Fraud Analytics - AEG

Los Angeles · AXS - Los Angeles · USD 95,000-109,000 · 4-6 years experience · Onsite · Posted Oct 15, 2026

At a glance

The Manager, Payments and Fraud Analytics leads macro-level analytics for payment performance and fraud risk at AXS. This role focuses on analyzing portfolio trends to identify opportunities for increasing authorization and conversion, reducing costs, and preventing fraud. The position involves cross-functional collaboration and is expected to evolve into a direct people-management role.

Lead deep-dive analysis of payment authorization, decline, conversion, routing, settlement, and processing-cost data.
Analyze fraud, chargeback, dispute, and loss data at the portfolio level to identify patterns and control gaps.
Build and maintain KPI definitions, SQL analyses, dashboards, and executive reporting.
Develop business cases and lead cross-functional optimization initiatives for payment routing, fraud controls, and tokenization.
Monitor high-volume on-sales and material payment or fraud events to perform root-cause analysis.
Partner with external providers like Visa, Mastercard, American Express, ACI, Braintree, and Stripe to review performance.
Advise Product, Engineering, Finance, Operations, and senior leaders on priorities and tradeoffs.
Establish the operating model, documentation, and performance standards for the analytics function.
Coordinate work across analysts and coach direct reports as the team grows.

BA/BS Degree in Analytics, Data Science, Statistics, Computer Science, Economics, Finance, Business, or a related field.
4-6 years of hands-on advanced SQL analysis using large transaction-level datasets.
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, or managing team members.
Advanced SQL skills including ability to join, validate, segment, and interpret large datasets.
Advanced data visualization and dashboard development skills using Tableau, Looker, or comparable tools.
Strong knowledge of card payments, authorization behavior, routing, processing economics, interchange fees, and chargebacks.
Working knowledge of payment networks and processors including Visa, Mastercard, American Express, ACI, Braintree, and Stripe.
Ability to communicate complex analysis to technical and nontechnical audiences.