About Us

Onmo is seeking a Head of Fraud and Financial Crime to lead and enhance our fraud
prevention and detection capabilities through a data-driven and strategic approach.
This role will be pivotal in shaping and executing the fraud and financial crime strategy,
working cross-functionally with data, technology, product, and operations teams to
ensure robust, scalable frameworks are in place.
The successful candidate will bring strong leadership and analytical expertise to drive
effective decision-making, operational efficiency, and continuous improvement across
all areas of fraud and financial crime management.

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Key Responsibilities
• Develop and execute the fraud and financial crime strategy across the customer
lifecycle.
• Lead the design of policies, controls, and frameworks to detect and prevent
fraud, AML, CTF, and sanctions breaches.
• Implement and optimise fraud analytics, transaction monitoring, and machine
learning models using tools such as SQL and Python.
• Take ownership of operational fraud functions, including investigations,
chargebacks, SAR reviews, and suspicious activity escalation.
• Manage the end-to-end fraud and financial crime lifecycle – from prevention and
detection to investigation, reporting, and recovery.
• Stay ahead of emerging risks, including synthetic identity, account takeover, and
digital payment fraud.
• Drive continuous improvement of KYC/CDD processes, working closely with
compliance and legal teams.
• Ensure adherence to regulatory frameworks (FCA, PSD2, AMLD, FinCEN, GDPR),
and maintain audit readiness
• Lead cross-functional collaboration with product, engineering, and data teams
to integrate financial crime controls into platforms.
• Act as a key contact for external partners including regulators, law enforcement,
and industry bodies.

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Key Requirements
• 8+ years’ experience in fraud prevention, financial crime, or risk within fintech,
payments, or banking.
• Proven ability to lead high-performing teams across both strategic and
operational fraud functions.
• Strong working knowledge of fraud typologies (e.g. card fraud, social engineering,
ID fraud) and AML/CTF regulations.
• Hands-on experience with SQL and/or Python for data analysis, alerting, and
automation.
• Operational leadership experience across case management, fraud ops, SARs,
and customer interactions.
• Confident in working with fraud detection systems, transaction monitoring tools,
and behavioural analytics.
• Excellent communication, stakeholder management, and decision-making
skills.
• Strong analytical mindset, comfortable working with data and cross-functional
teams