Senior Fraud Strategy Analyst

Responsibilities

Senior Fraud Strategy Analyst

• Identify emerging fraud patterns and translate insights into scalable rules, controls, and policies
• Use SQL, Python, and advanced analytics to uncover fraud trends, vulnerabilities, and opportunities
• Define fraud KPIs, loss thresholds, and monitoring frameworks tied to risk appetite and unit economics
• Build dashboards and reporting that surface emerging risks and measure strategy effectiveness
• Partner with Product and Engineering to embed fraud controls into new products and customer experiences
• Evaluate and implement third-party fraud tools, data sources, and detection capabilities
• Develop fraud strategies that enable safe expansion into new payment rails, including ACH
• Balance fraud prevention, customer friction, growth, and profitability as Mudflap scales

Work Location

We value in-person connection and have offices in both Palo Alto, CA and Austin, TX. While we prefer candidates located in these hubs for occasional meetings and team collaboration, we are open to remote team members who can travel periodically if needed.

To support our team, we offer

• Commuter benefits to ease your travel
• Lunches and snacks to keep you fueled

A

collaborative, high-growth environment where you’ll work closely with talented teammates across the company

Expectations (In this role, you will)

• Own and evolve fraud strategies across Mudflap’s payments products, including fleet card and legacy payment products
• Partner with Data Science to develop, evaluate, and improve fraud detection models

Experience (What we look for)

• 5+ years of experience in fraud strategy, risk, or payments, ideally within fintech or a high-volume payments business
• Hands-on experience developing and optimizing fraud strategies, including rules, controls, monitoring, and loss management
• Strong analytical skills with advanced SQL; proficiency with Python and spreadsheets preferred
• Experience analyzing transaction data to identify fraud patterns, vulnerabilities, and root causes
• Strong judgment balancing fraud loss, customer friction, growth, and profitability
• Experience partnering with Data Science, Product, Engineering, and Operations to implement fraud solutions
• Familiarity with card payments, ACH, digital payments, or other complex payment ecosystems
• Ability to turn ambiguous data into clear recommendations and action
• High ownership, curiosity, and comfort operating in a fast-changing environment

Perks and Benefits (What we offer)

Competitive salary and equity in a high-growth startup

Multiple health benefit options

• Responsible Time Off
• 401(k) matching

Opportunities and support for major career growth

Annual Company offsite event (Mudfest!)

The base salary range for this role is $135,000 - $185,000. This information reflects a base salary range for this position based on current market data, which may be subject to change as new market data becomes available. The candidate’s skills, experience, and other relevant factors will determine the exact compensation.

Company Overview (Who we are)

Mudflap is on a mission to transform the trucking and logistics industry by leveling the playing field for owner operators and small fleets. Backed by top-tier venture investors, including QED, Matrix Partners, Commerce Ventures, NFX, and 500 Startups and included in the Forbes Fintech 50 list, Mudflap offers fleet fuel management solutions. Our core team hails from Disney, Uber, Procore, DoorDash, Google, Meta, Capital One, Affirm and Brex.

Here are the core values that we believe in and look for in new teammates:

Be Customer Obsessed

We deeply understand customer needs and put our customers at the center of everything we do

Make it Count

Act like an owner by focusing on the impact of your work

Find a Way

Be a creative problem solver who pushes past roadblocks to win for our customers and our teammates

Sweat the Details

We keep our standards high and achieve them by paying attention to every detail

Be Curious

Use a growth mindset to question assumptions, take calculated risks and stretch the boundaries of what’s possible