Overview
In this role, you will help safeguard our customers and the business by conducting financial crime screening and investigations. You will work within a small, high‑ownership team to assess risk on new applications and existing accounts, using screening tools against PEPs and sanctions lists. You’ll review profiles and transactions to identify suspicious activity and take appropriate action, including reporting where required. The role blends data‑driven decision making with collaboration and process improvements, supported by AI and automation to enhance efficiency. This position offers hybrid work in London/Kent and a meaningful chance to contribute to a fast‑growing fintech on a mission to
Pay / Benefits
- Health coverage
- Retirement & savings
- Flexible working
- Employee referral programme
- Office meals & snacks
- Sustainable commuting
Responsibilities
- Conduct financial crime screening checks and investigations on new applicants and existing customers
- Use screening tools to match data against PEPs and sanctions lists and assess risk
- Review customer profiles and transactional activity to identify financial crime risks and take appropriate action
- Submit internal Suspicious Activity Reports when required
- Support the Financial Crime Team with additional tasks as the business grows
- Assist with onboarding reviews and ongoing monitoring of accounts
- Monitor activity and transactions and escalate risks to mitigate financial crime
Key requirements
- Collaborate effectively within a diverse team
- Analytical mindset with strong attention to detail
- Strong decision-making and clear written documentation of decisions
- Effective communication with customers, applicants, and senior management
- Proficient time management and ability to meet targets
- Previous financial crime experience is advantageous (screening and KYC)
- Experience leveraging data, automation, and AI to enhance efficiency in financial crime prevention
- Demonstrated ability to use data, machine learning, and AI to optimize fraud detection strategies
- collaboration
- analytical thinking
- communication
- screening tools
- KYC processes
- automation and AI technologies for financial crime prevention
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