Home  /  News  /  Compliance & AML
Compliance & AMLApril 22, 2025

Building a Fraud Team: A 90-Day Roadmap for Growing Operators

A practical 90-day plan for iGaming operators to build an effective fraud team, from hiring priorities to tooling and process maturity.

Building a Fraud Team: A 90-Day Roadmap for Growing Operators

For a scaling iGaming operator, fraud is not a problem you solve once. It is a capability you build incrementally. Most operators underestimate how long it takes to move from reactive alert-chasing to a structured fraud function, and they pay for that gap in chargebacks, bonus abuse, and regulatory friction. A 90-day roadmap gives leadership a realistic sequence: hire in the right order, instrument before you automate, and embed fraud logic into existing operations rather than bolting on a standalone silo.

Why Structure Matters Before Headcount

The instinct of most operators is to hire a fraud analyst and hand them a tool. That rarely works. Without clear ownership, escalation paths, and defined fraud typologies specific to your player base, an analyst spends most of their time firefighting. Structure creates the environment in which good analysts can operate effectively. Before you post a single job description, document what you are protecting: deposits, bonuses, withdrawals, affiliate traffic, or account integrity. The answer shapes every decision that follows.

Days 1 to 30: Foundation and Triage

The first month is about establishing baselines and stopping the most obvious bleeding. Priorities in this phase include:

  • Appoint an interim fraud lead, even if that person is a senior risk analyst or an outsourced compliance resource. Someone must own decisions.
  • Pull 90 days of chargeback and bonus reversal data. Categorise losses by fraud type: friendly fraud, account takeover, multi-accounting, or payment fraud. This taxonomy becomes your reporting language.
  • Map the current tool estate. Most operators at this stage have a payment gateway with basic velocity rules, a KYC provider, and possibly a third-party fraud score. Document what fires, what is ignored, and what has no coverage.
  • Define your risk appetite in writing. What chargeback rate triggers a process review? What bonus abuse threshold justifies a manual review queue? These thresholds need sign-off from the CFO and compliance officer, not just the fraud team.

Do not invest in new tooling during this phase. Understand what you have before adding complexity.

Days 31 to 60: People, Process, and Instrumentation

With a baseline established, the second month focuses on building repeatable processes and making the first targeted hires.

Hiring Sequence

For an operator processing between 5,000 and 50,000 active players, the recommended hire sequence is: fraud analyst first, then a payments risk specialist, then a data analyst who can build internal dashboards. A fraud manager should only be hired once there is a team to manage. Hiring management before individual contributors is one of the most common and expensive mistakes at this stage.

Process Documentation

Write standard operating procedures for your three highest-volume fraud scenarios before the new hires start. Onboarding is faster, decision-making is more consistent, and you create an audit trail that satisfies regulators. Each SOP should specify the trigger, the investigation steps, the decision criteria, and the escalation path.

Instrumentation

Connect your fraud signals to a single case management view. This does not require an expensive enterprise platform. A well-structured ticketing system integrated with your KYC provider, payment processor, and player data warehouse is sufficient at this scale. The goal is that an analyst can resolve a case without toggling between six browser tabs and a spreadsheet.

Days 61 to 90: Automation, Metrics, and Maturity

The third month is where manual processes start to scale. Identify the five decision rules your analysts apply most frequently and automate the lowest-risk versions of each. For example, if an account registers and requests a withdrawal within two hours of first deposit without completing any wagering, that pattern can be auto-flagged or auto-declined without manual review, provided your rules engine allows it.

Automation should codify human judgment, not replace it. Rules built without analyst input tend to generate false positives that erode player experience and generate unnecessary support load.

Metrics to Track from Day 61

  • Chargeback rate by payment method and player segment
  • Bonus abuse rate as a percentage of bonus issued
  • False positive rate on automated declines
  • Mean time to resolve a fraud case
  • Analyst case throughput per week

By day 90, you should have a functioning team of two to three analysts, documented SOPs for your core fraud scenarios, automated rules covering your highest-volume patterns, and a monthly reporting cadence to senior leadership. That is not a mature fraud function, but it is a structured one, and structure is what allows maturity to develop over the following quarters.

Where Operators Typically Stall

The most common failure point between days 60 and 90 is tool proliferation without integration. Operators add a device fingerprinting vendor, a behavioural analytics platform, and an enhanced KYC layer in quick succession, and none of them talk to each other. The result is alert fatigue and analyst burnout. Prioritise integration over coverage at this stage. Three tools that share data are more valuable than six that operate in isolation.

OnlineShine works with operators at exactly this inflection point, providing embedded fraud and compliance expertise that bridges the gap between an operator's current capability and where it needs to be, without the overhead of building a full in-house function before the business can sustain it.

FAQ

Frequently asked questions

What is the recommended team structure for a fraud function at a mid-sized iGaming operator?

A mid-sized iGaming operator with between 5,000 and 50,000 active players should build their fraud team in sequence: hire a fraud analyst first, then a payments risk specialist, then a data analyst capable of building internal reporting dashboards. A fraud manager should only be added once there is a team in place to manage, typically after the first three roles are filled and core processes are documented.

How long does it take to build a structured fraud function in iGaming?

A structured fraud function, covering documented processes, a small specialist team, and basic automation, can be established within 90 days for a growing operator. The first 30 days focus on baselining losses and mapping existing tools, the middle 30 days on hiring and process documentation, and the final 30 days on automating high-volume decision rules and establishing performance metrics. Full maturity typically takes an additional two to four quarters beyond that initial build.

What metrics should an iGaming fraud team track from the start?

From the moment automation is introduced, a fraud team should track chargeback rate by payment method and player segment, bonus abuse rate as a percentage of total bonuses issued, false positive rate on automated declines, mean time to resolve a fraud case, and analyst case throughput per week. These five metrics provide a balanced view of both fraud exposure and operational efficiency, and they form the basis of a credible monthly report to senior leadership.

What is the biggest mistake operators make when building a fraud team?

The most common mistake is adding multiple fraud and compliance tools in quick succession without integrating them, which creates alert fatigue and analyst burnout. A secondary but equally costly error is hiring fraud management before individual contributors are in place, leaving a manager with no team to lead and no operational processes to oversee. Both mistakes slow the development of a functional fraud capability and increase short-term fraud losses.

Keep reading

Related articles

Show us one brand.
We will find the leaks.

Book a 30-minute teardown. We walk through one of your brands and show you exactly where revenue, retention or compliance is slipping, no obligation.