Hybrid Fraud Reduction Manager

at Indra Group

• Job title: Fraud Reduction Manager
• Job type: Contract
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Cyber Security
• Location requirements: Hybrid, London, United Kingdom

About the role

• Fraud Reduction Manager analyzing fraud patterns across digital and physical transport technology scenarios. Leading investigations and coordinating with teams to safeguard system integrity.

Responsibilities

• Continuous monitoring of system activity and field-based device behaviour to identify fraud patterns, suspicious transactions, physical misuse, retail irregularities and emerging risks.
• Leading fraud investigations across digital, operational and retail environments, coordinating with technical, field, cybersecurity and customer‑facing teams to resolve issues efficiently.
• Managing fraud risk, maintaining clear documentation of identified risks, and driving mitigation actions.
• Developing and executing the Fraud Reduction Plan, defining priorities and implementing targeted initiatives.
• Overseeing fraud analytics workflows, dashboards and reporting to ensure timely insights.
• Chairing internal fraud analysis meetings and contributing to multi‑stakeholder governance forums.
• Engaging with external partners such as operators, payment ecosystem organisations, retail agents and suppliers.
• Leading and coordinating a multidisciplinary fraud reduction team and promoting best practices.
• Supporting enhancements to fraud detection tools, rulesets, automation and system capabilities.
• Promoting fraud awareness, training and continuous improvement across all involved teams.

Requirements

• Bachelor’s degree in a relevant analytical, technical or business discipline (e.g., Engineering, Computer Science, Information Systems, Mathematics, Statistics, Business Administration or Economics).
• Proven experience in fraud prevention, risk management or revenue protection, ideally within payments, fare collection, transport or digital platforms.
• Strong analytical skills and ability to interpret data, detect anomalies and generate insights.
• Demonstrated experience leading fraud investigations and coordinating cross‑functional teams.
• Understanding of system behaviours, field device operation, back‑office processes and transaction lifecycle management.
• Excellent communication and reporting capabilities for senior stakeholders.
• Ability to prioritise effectively, manage time‑critical incidents and operate in complex environments.
• Leadership skills including team coordination, mentoring and the promotion of best practices.
• **Desirable**
• Familiarity with AI‑based fraud detection tools and the use of machine‑learning techniques to identify behavioural patterns and anomalies
• Exposure to contactless payments, digital wallets, tokenisation, ML‑based anomaly detection or concessionary/retail agent schemes.
• Master’s degree (MSc or MBA) in areas related to data analytics, cybersecurity, risk and security management or complex operational systems.
• Educational background in Industrial Engineering, Systems Engineering or similar, providing understanding of operational processes, system interactions, and transport environments.
• Certified Fraud Examiner (CFE)
• CRMA, CISM, CISSP, or ICA certifications in Financial Crime / AML / Fraud Prevention

Benefits

• Holidays: 25 days per annum + 8 days bank holidays (options to buy/sell days)
• 35 hour working week
• Pension – 4% employee and 4% employer
• Private medical insurance (including dental & optical)
• Life assurance
• Income protection
• Employee assistance programs
• Flexible/remote working options
• Charitable initiatives
• Social events (formal & informal)
• Learning and development programs
• Innovative & collaborative work environment