Fraud Analyst

Fraud Analyst

Expert in analyzing and mitigating financial fraud risks using data-driven strategies.

Risk
Job Family
AU$110k
Salary
Average salary in Australia
7%
Job Growth
The number of positions relative to last year
14
Open Roles
Job openings on Alooba Jobs

The Fraud Analyst role involves deep analysis of financial transactions and behaviors to identify and mitigate risks of fraud and financial crime. This position requires a blend of data analysis skills, expertise in fraud detection methodologies, and the ability to work with complex datasets. The role is critical in safeguarding against fraudulent activities and ensuring secure financial operations, making it suitable for those with a keen eye for detail and a strong analytical mindset.

What are the typical tasks and responsibilities of a Financial Analyst?

  • Analyze and report on fraud patterns, chargebacks, and dispute trends to support data-driven decision-making.
  • Develop and maintain reports and dashboards for fraud and payment metrics.
  • Provide recommendations to improve operational efficiencies and flag potential risks.
  • Support analytical requests for business case development.
  • Collaborate in defining targets and KPIs to drive operational performance.
  • Analyze large data sets to identify trends, anomalies, and fraudulent activities.
  • Design and implement real-time fraud detection rules and models.
  • Evaluate risk exposure for new products and markets, developing strategies to mitigate fraud.
  • Provide guidance on fraud scenarios to customer support teams.
  • Coordinate administration work related to payment fraud and disputes.
  • Investigate and analyze complex data sets to resolve business challenges and identify improvement opportunities.
  • Partner with internal teams for product launch risk assessments and ongoing fraud trend analysis.
  • Conduct regular fraud analysis across various departments using data analysis tools.
  • Compile and produce management information related to fraud detection and prevention.

What are the typical role requirements of a Financial Analyst?

  • Strong analytical skills with the ability to manipulate and visualize large data sets.
  • Proficiency in at least one programming language (SQL, Python, R, etc.).
  • Advanced knowledge of credit and debit card association rules regarding chargebacks.
  • Experience with fraud management systems and order management systems.
  • Proven track record in data analysis using SAS/SQL or other analytical tools.
  • Ability to manage multiple priorities and work under tight deadlines.
  • Strong communication and presentation skills.
  • 5+ years of experience in analytics, preferably in fraud or retail banking domain analytics.
  • Extensive knowledge of SQL, SAS, and data visualization/dashboarding tools.
  • Experience designing real-time rules and machine learning models for fraud detection.
  • Multinational experience in managing risk and fraud in e-commerce settings.
  • Expertise in MS Excel and SQL.
  • Experience in insurance and understanding of fraud/financial crime risk management.
  • Familiarity with industry-specific systems and tools (e.g., 'SIRA', i2).

Discover how Alooba can help identify the best Fraud Analysts for your team

Fraud Analyst Levels

Intern Fraud Analyst

Intern Fraud Analyst

An Intern Fraud Analyst is a budding professional who assists in identifying fraudulent activities by analyzing patterns and trends in data. They support the fraud prevention team in safeguarding the business against fraudulent transactions and activities. Their keen analytical skills and attention to detail are crucial in detecting anomalies that could indicate fraud.

Graduate Fraud Analyst

Graduate Fraud Analyst

A Graduate Fraud Analyst is a budding professional who uses data analysis, pattern recognition, and industry knowledge to detect and prevent fraudulent activities. They are crucial in maintaining the integrity of an organization's operations and safeguarding customer trust.

Junior Fraud Analyst

Junior Fraud Analyst

A Junior Fraud Analyst plays a crucial role in protecting an organization from fraudulent activities. They analyze data to identify suspicious patterns and trends, and assist in implementing strategies to mitigate risks. Their keen eye for detail and strong analytical skills make them an invaluable asset in maintaining the integrity and security of business operations.

Fraud Analyst (Mid-Level)

Fraud Analyst (Mid-Level)

A Fraud Analyst at the mid-level is a skilled professional who uses data analysis techniques to detect and prevent fraudulent activities. They apply their analytical skills to identify patterns, trends, and anomalies that might indicate fraudulent behavior, playing a crucial role in protecting the organization's assets and reputation.

Senior Fraud Analyst

Senior Fraud Analyst

A Senior Fraud Analyst is a seasoned expert in identifying, investigating, and preventing fraudulent activities. They leverage their analytical skills and understanding of fraud patterns to protect an organization's assets and reputation. Their role is pivotal in maintaining the integrity of the business operations and ensuring customer trust.

Lead Fraud Analyst

Lead Fraud Analyst

A Lead Fraud Analyst is an expert in identifying and preventing fraudulent activities, protecting the organization from financial and reputational harm. They use advanced analytical tools and techniques to detect unusual patterns and activities, leading a team of analysts to ensure the organization's security and integrity.

Common Fraud Analyst Required Skills

Activation FunctionsActivation FunctionsAd Quality ScoreAd Quality ScoreAdaptabilityAdaptabilityAdobe TargetAdobe TargetAgreeablenessAgreeablenessAirtableAirtableAnalytics Project ManagementAnalytics Project ManagementAnomaly DetectionAnomaly DetectionApache TomcatApache TomcatAttention to DetailAttention to DetailBacklinkoBacklinkoBinomial DistributionBinomial DistributionBlind-spot BiasBlind-spot BiasBoxplotsBoxplotsBusiness InsightsBusiness InsightsBusiness IntelligenceBusiness IntelligenceChatbotsChatbotsClassification ModelsClassification ModelsClickstream AnalysisClickstream AnalysisCollectionsCollectionsCommunicationCommunicationConditional ProbabilityConditional ProbabilityConfidence LevelsConfidence LevelsConfusion MatricesConfusion MatricesCorrelationCorrelationCustomer AnalyticsCustomer AnalyticsData AnonymizationData AnonymizationData EthicsData EthicsData MonitoringData MonitoringData TransferData TransferDesign ThinkingDesign ThinkingDifference in DifferencesDifference in DifferencesDisplay MarketingDisplay Marketing
DoubleClick
DoubleClick
English GrammarEnglish GrammarEnthusiasmEnthusiasmError of DecompositionError of DecompositionEvent TrackingEvent TrackingFeature DependenciesFeature DependenciesFinanceFinanceFinancial ModelingFinancial ModelingFor LoopsFor LoopsForecastingForecastingFraud AnalyticsFraud AnalyticsGoal-OrientedGoal-Oriented
Google Ads
Google Ads
Google Sheets
Google Sheets
Google Tag ManagerGoogle Tag ManagerGraph AnalyticsGraph AnalyticsGroovyGroovyHashed DataHashed DataHomoscedasticityHomoscedasticityHTMLHTMLIllusory CorrelationIllusory CorrelationKanbanKanbanLinear RegressionLinear RegressionMethodologiesMethodologiesMetricsMetricsMonday.comMonday.comOffline MarketingOffline MarketingOutlier RemovalOutlier RemovalPerlPerlPhishingPhishingPresentationsPresentationsProbabilityProbabilityProspectingProspectingPrototypingPrototypingRandom Number GenerationRandom Number GenerationRFM AnalysisRFM AnalysisSales FunnelsSales FunnelsSummary StatsSummary StatsTableauTableauTechnical WritingTechnical WritingTrend AnalysisTrend AnalysisType 2 ErrorType 2 ErrorTypes of DataTypes of DataTypeScriptTypeScriptUIUIUI DesignUI DesignUser ExperienceUser ExperienceWebsite HeatmapsWebsite HeatmapsWritten CommunicationWritten Communication

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