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Fraud Analyst

Fraud Analyst (Cards and Digital Banking)

Work a fraud analyst's week at a retail bank: triage card-not-present alerts, contain an account takeover, handle a first-party dispute without accusing anyone, refer a mule account to the financial intelligence team, and propose a rule change with its precision and recall worked out.
3 hrs taught · 4.5 to 8 hrs applied 7 modules 26 lessons 4 portfolio artifacts Completion certificate Updated September 2026
Created by the CertClue team
What you'll build

Real portfolio pieces built during the course, not a certificate for its own sake. Each one is work you can show.

  • Overnight alert triage logSix overnight card-not-present alerts worked to a decision, one row each: the signals weighed in both directions, fraud, genuine or unresolved, the friction chosen and why nothing lighter would do, and the follow-up with its owner. Links a card-testing pair as one attack and passes a card alert to takeover work.
  • Account takeover case timelineAn account takeover rebuilt in time order across online banking, the contact centre, payments and the card, with each event attributed to the attacker, the customer or the bank. Marks the event that handed over control, verifies the customer on a channel the attacker never held, and records containment in an order that does not let the attacker back in.
  • Mule account referral to the financial intelligence unitA referral on an account receiving scam payments and moving them on, one row per indicator: the evidence from the data, the action fraud took inside its authority, the fact the financial intelligence unit needs, and what was withheld from the account holder. Reconciles the money and leaves the reporting decision with the unit.
  • Rule change proposal with backtestA proposal to change a card-not-present fraud rule, measured on a labeled sample: alerts, fraud caught, genuine customers declined and missed fraud for the current and proposed rule, precision and recall with the arithmetic, the alternative the rule owner asked about, and a trial with a stop condition before anything goes live.

What you'll learn

Fraud, kept short
The job, decoded
A day in the seat
The rhythm of the job
Into the simulation: a week at Tarnwick Bank
Building the portfolio
What comes next

Course content · 7 modules, 26 lessons

Sign up to unlock every lesson - the titles below show exactly what is inside.

Four lessons on the vocabulary the rest of the course runs on: what a fraud team protects and how that differs from AML, who the fraudster actually is, the two attack patterns of the simulation week, and why both kinds of mistake cost money.

What a fraud team protects, and where AML starts
Who the fraudster is: third-party, first-party and scams
The two patterns of the week: card-not-present and account takeover
The cost of both errors: missed fraud and blocked customers

Requirements

  • No prior experience in this field is required to start.
  • A computer with a reliable internet connection.
  • Comfortable using a web browser - no software to install.

Description

Every CertClue course follows the same seven-part shape: fundamentals, the role translated out of job-posting language, a real working day, the job's recurring rhythms, a multi-day simulation, the portfolio you build along the way, and a handoff into your next move. Here is what that looks like for fraud analyst.

Who this course is for

Anyone aiming to become a fraud analyst, including career changers with no background in it yet. This is the entry rung of a realistic ladder:

entry
Fraud Analyst

Works the fraud alert queue for cards and digital banking, decides whether each alert is fraud, genuine or needs the customer, contains account takeovers, and writes case notes and referrals that the disputes and financial intelligence teams can act on without re-investigating. Most analyst postings ask for 1 to 4 years' experience, so beginners usually reach this seat through a customer-facing fraud operations or fraud and disputes contact role first.

Alert triage and case notesCard-not-present and account takeover patternsCustomer verification and containmentReferral to disputes and financial intelligence teams
mid
Senior Fraud Analyst / Fraud Strategy Analyst

Owns detection rules for a product line, measures their precision, recall and customer friction on real outcomes, investigates organised rings that span many accounts, and reviews the case quality of the analysts working the queue.

Rule and model performance analysisBacktesting and rule change proposalsOrganised and cross-account fraud investigationsReviewing and coaching analysts' case quality
senior
Fraud Operations Manager / Head of Fraud Risk

Sets the fraud strategy and the loss the organisation will accept against the friction it will impose on genuine customers, runs the fraud operations team and its tooling, and answers for fraud outcomes to senior management and supervisors.

Fraud strategy and loss appetiteTeam, vendor and tooling decisionsLoss versus customer friction at portfolio scaleReporting to senior management and regulators
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