Fraud Strategy & Analytics Manager

Rippling•New York, NY

6d•$123,000 - $205,000•Remote

About The Position

As a Fraud Strategy & Analytics Manager at Rippling, you will help safeguard clients’ financial integrity by identifying and mitigating fraud risks across the company’s financial products. You will develop and enhance fraud detection and risk mitigation strategies focused on transaction monitoring, fraud loss prevention, and incident investigation, using robust analytics and large-scale data sets. You will analyze transaction data to identify emerging fraud patterns and collaborate with data science, security, compliance, product, and engineering teams to implement effective solutions. The role offers the opportunity to use data analytics and fraud prevention expertise to drive strategic results in a fast-paced environment. The position owns fraud prevention strategies for products including Payroll, Bill Pay, and Corporate Card; develops monitoring and decisioning approaches; leads fraud analytics and investigations; and works with cross-functional teams to improve risk controls, detection tools, and customer experiences. It also involves monitoring high-risk transactions and incidents, communicating insights and recommendations to stakeholders, and continuously improving fraud risk management.

Requirements

At least 5 years of experience in fraud prevention and detection, preferably in financial technology, with a focus on payments, lending, and SaaS industries.
Bachelor’s degree in a relevant field such as Math, Statistics, or Operations Research.
Strong SQL and Python skills, including writing complex queries to analyze large datasets, identify trends, and generate fraud-related reports.
Experience with SQL-based tools such as MySQL, PostgreSQL, or similar databases.
Strong data analysis capabilities and ability to make data-driven fraud risk decisions.
In-depth understanding of payments risks and funds flows, specifically ACH and bank transfer fraud, account takeovers, wallet fraud, and corporate card transaction fraud.
Familiarity with fraud investigation tools and industry-leading third-party risk vendors.
Experience with fraud detection tools and methodologies.
Effective communication and presentation skills, including the ability to explain complex data and risk insights to varied stakeholders.

Nice To Haves

Master’s degree in a relevant field.

Responsibilities

Develop and own fraud prevention strategies across financial products, including Payroll, Bill Pay, and Corporate Card, translating emerging fraud trends and business priorities into scalable risk mitigation solutions.
Design, implement, and optimize fraud monitoring and decisioning strategies using transaction data, behavioral signals, and risk indicators to improve detection while minimizing false positives and customer friction.
Build dashboards, define key risk indicators, and monitor fraud losses, detection rates, false-positive rates, and control effectiveness to guide strategy optimization.
Lead complex fraud investigations and root-cause analyses to identify emerging patterns, control gaps, financial exposure, and sustainable prevention solutions.
Identify and proactively mitigate emerging fraud risks by analyzing transaction trends, evolving fraud typologies, and vulnerabilities across products, customer segments, and payment flows.
Partner with Data Science and Engineering to develop and enhance fraud detection models, risk-scoring methodologies, analytical tools, and automated workflows.
Collaborate with Product, Security, Compliance, Fraud Operations, and Customer Support to embed risk controls into product experiences, streamline investigations, and balance fraud prevention with customer experience and business growth.
Monitor and manage high-risk transactions and fraud incidents, make data-driven risk decisions, coordinate escalations, and drive resolution to minimize financial losses and customer impact.
Evaluate control performance, conduct post-incident reviews, and translate investigative insights into improved monitoring rules, risk policies, and prevention strategies.
Communicate fraud trends, analytical insights, and strategic recommendations to leadership and cross-functional stakeholders.