Fraud Support Analyst

Indra Group

. Monitor system activity, transaction data and operational reports to identify suspicious behaviour, anomalies, fraud patterns and emerging risks .

Posted 10/22/2026full-timeRedhill • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in fraud analysis, risk assessment, and transaction monitoring, with strong analytical skills to interpret complex datasets and produce actionable insights. Proficient in utilizing reporting and data-analysis tools to support fraud investigations and operational readiness.

Highest-signal resume keywords

Fraud AnalysisSQLPower BIData Analysis ToolsFraud Detection

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Fraud PreventionRisk AnalysisTransaction MonitoringData InterpretationAnomaly DetectionOperational ReportingControl TestingEvidence DocumentationFraud Risk Register ManagementIncident Management

Soft Skills

Analytical SkillsClear CommunicationCollaborationAttention to DetailJudgement

Tools & Technologies

ExcelBMC HelixPowerShellOracleSQL Server

Certifications & Qualifications

ITIL FoundationFraud Qualification

Industry Keywords

Contactless PaymentsDigital WalletsTicketing SystemsEMV PaymentsChargebacksFraud Case ManagementData ProtectionInformation SecurityRegulated EnvironmentsTransport Ticketing

Tech Stack

Tools & technologies

Cyber SecurityOracleSQL

About the role

Key responsibilities & impact

Monitor system activity, transaction data and operational reports to identify suspicious behaviour, anomalies, fraud patterns and emerging risks
Perform initial and detailed analysis of potential fraud events, validating findings across relevant data sources and documenting evidence and rationale
Support fraud investigations by gathering and analysing transaction records, system logs, case information and other relevant data
Produce daily, weekly, periodic and ad hoc fraud reports, dashboards and trend analysis with clear findings and recommended follow-up actions
Maintain accurate case records and support updates to the Fraud Risk Register, action logs and supporting documentation
Assess whether mitigation measures, detection rules, reports, hotlists and operational controls are functioning effectively, highlighting gaps or unintended impacts
Escalate suspected or confirmed fraud according to agreed procedures, priorities and reporting timelines
Work with Back Office Support, IT, cybersecurity, payments, retail, Service Desk, incident management and other operational teams to investigate and resolve fraud-related issues
Support review, testing and refinement of fraud detection rules, monitoring scripts, dashboards, automated alerts and analytical tools
Contribute to identifying new fraud typologies across open-loop payments, closed-loop ticketing, retail agents, staff activity and third parties
Keep up to date with fraud trends in public transport, contactless payments, digital wallets and ticketing systems, sharing relevant insights with the wider team
Contribute to lessons learned, knowledge articles, operational procedures, training materials and fraud awareness activities
Handle fraud-related information securely and comply with information security, confidentiality and data protection requirements
Initially support operational readiness during project transition by capturing knowledge, validating procedures and preparing the service for continued operation
Post-transition, provide ongoing support to critical back-office applications and fraud management services and help create and monitor reports to reduce fraud across the client network

Requirements

What you’ll need

Experience in fraud analysis, fraud prevention, revenue protection, risk analysis, payments operations, transaction monitoring or a comparable analytical role
Strong analytical skills and ability to interpret large or complex datasets, identify anomalies, test hypotheses and communicate evidence-based conclusions
Experience using reporting, dashboarding or data-analysis tools
Practical knowledge of SQL, Power BI, Excel or similar tools is advantageous
Ability to investigate issues systematically, correlate information from multiple sources and maintain clear, auditable records
Understanding of transactional systems, back-office processes, incident management or the payment and ticketing lifecycle
Clear written and verbal communication skills, with ability to explain technical or analytical findings to operational and non-technical stakeholders
Ability to prioritise competing cases, work accurately to reporting deadlines and operate effectively in a complex, high-volume environment
Strong collaboration skills and confidence working across technical, operational, cybersecurity and customer-facing teams
High standards of integrity, confidentiality, judgement and attention to detail
BA/BSc in Information Technology, Computer Science, Engineering or a related discipline, or equivalent professional experience
Applicants must pass baseline security/background checks
Applicants must have the right to work in the United Kingdom; Indra is unable to sponsor work visas
Desirable: experience in transport ticketing, account-based ticketing, contactless payments, retail-agent schemes or digital platforms
Desirable: familiarity with EMV payments, digital wallets, tokenisation, hotlists or deny lists, chargebacks, card-not-present fraud, fare evasion or concessionary travel products
Desirable: exposure to rule-based fraud detection, anomaly detection, machine-learning outputs or fraud case-management tools
Desirable: experience supporting fraud risk registers, investigations, control testing, operational reporting or governance meetings
Desirable: knowledge of data protection, information security and evidence-handling requirements in regulated or critical operational environments
Desirable: ITIL Foundation or equivalent practical Service Management experience
Desirable: Oracle, SQL Server, PowerShell, BMC Helix, security, PCI DSS or relevant transport/payments certification
Desirable: formal Fraud qualification
Personal qualities include analytical, structured and attentive-to-detail approach; sound judgement; collaboration; service orientation; self-motivation; resilience; curiosity; improvement focus; and ability to interpret and adhere to existing procedures

Benefits

Comp & perks

25 days per annum plus 8 days bank holidays, with options to buy/sell days
Pension – 4% employee and 4% employer
Private medical insurance, including dental and optical
Life assurance
Income protection
Employee assistance programs
Flexible/remote working options
Charitable initiatives
Formal and informal social events
Learning and development programs
Innovative and collaborative work environment