Lead Fraud Operations Analyst

Apollo.io; Canada; Remote; CAD 80,000 - 100,000; Full time

Job summary

Join a leading SaaS company as a Sr. Fraud Operations Analyst, where you'll tackle complex fraud investigations and enhance operational processes. You'll work with a dynamic team to protect customer interests and develop innovative solutions for fraud detection. This role offers the chance to lead investigations, train teams, and collaborate across departments, all while working remotely in a supportive environment that values bold ideas and continuous growth.

Qualifications

• 5+ years of experience in fraud investigations or similar operations roles.
• Experience creating and providing training on complex operational processes.

Responsibilities

• Perform complex product abuse and fraud investigations.
• Investigate customer-reported events such as account takeover and anomalous activity.
• Train Customer-Facing Teams on Verification and Identification Methodologies.

Skills

SQL

Data Analysis

Investigative Nature

Communication

Tools

MongoDB

Job description

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers.Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.

About the role:

The Sr. Fraud Operations Analyst is a core Fraud team member that performs complex product abuse and fraud investigations. They will be responsible for independently handling fraud investigations, identifying fraud vulnerabilities, designing cross-team handling procedures and training Support teams on verification procedures. The ideal candidate will have experience performing technical product investigations from ticket/escalation to data analysis and source-code review. This role will challenge you to think "outside-the-box" and requires effective communication and prioritization skills.

Daily Adventures & Responsibilities:

• Fraud Escalations and Investigations
• Investigate customer-reported events such as account takeover, anomalous activity and abuse reports.
• Review, classify and respond to chargebacks and events due to fraud.
• Investigate volumetric/anomaly alerts generated by Apollo’s fraud detection services.
• Perform attribution analysis of scaled fraud events through data analysis (SQL/Python).
• Handle external brand abuse cases and takedowns.
• Build fraud event classification and retroactive analysis processes across Fraud, Security, Support, Billing and Sales.
• Identify and incorporate key data sources for manual and automated investigation enhancements.
• Perform Root-Cause Fraud Vulnerability Analysis
• Determine functional fraud vulnerabilities and partner with Product/Engineering to prioritize remediation.
• Review external fraud actor activity and leverage open source intelligence techniques for threat actor profiling.
• Train Customer-Facing Teams on Verification and Identification Methodologies
• Design low-friction KYB/KYC and asynchronous verification procedures.
• Coach and lead junior Fraud Analysts and non subject-matter experts.
• Collaborate with customer-facing Support staff regularly on customer issues.

What We're Looking For:

• 5+ years of experience in fraud investigations or similar operations roles.
• Demonstrable SQL-based querying skills (Simple queries such as inner/outer joins, CTEs). Experience with MongoDB is a significant plus.
• Chargebacks, disputes and ACH are familiar terms of which you understand the full lifecycle.
• Familiarity with rules-based fraud rule development such as Stripe Radar, Signified etc (we do not require specific vendor experience).
• Experience creating, writing, and providing training on complex operational processes for customer facing or fraud teams.
• An inquisitive and investigative nature: You are driven by curiosity and seek answers to problems by sifting through messages, logs and tangible evidence to understand the mindset and actions of an attacker.
• Willingness and strong desire to work independently and problem-solve with visionary guidance.
• Positive, learning mindset along with a detail-oriented, analytical approach to problem solving.
• Comfort with self-prioritization and letting “small fires burn.”
• You are excited about working remotely and have the skills and self-discipline to do so effectively.
• Good written and spoken English proficiency.

Why You’ll Love Working at Apollo

At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead.

We invest deeply in your growth, ensuring you have the resources, support, and autonomy toown your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins.

If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you.

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What are your compensation expectations? (please do not say negotiable) *

Do you have hands-on experience performing data analysis or investigations using SQL? If yes, please briefly describe an example of how you've applied scaled analysis techniques using SQL in a previous role. If no, please simply answer "No." *

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