Anti - Money Laundering Officer for the leading Crypto Brand in the Philippines. Overseeing AML compliance procedures and collaborating with legal teams in financial regulations.
About the role
- Senior Financial Crime Manager in a fast-growing company overseeing AML operations and compliance. Leading financial crime reviews and collaborating with business on compliance matters.
Responsibilities
- Join the second line Financial Crime team, reporting to the Head of Financial Crime
- Carry out a variety of tasks including ensuring AML operations are effectively monitored
- Deal with high-risk AML escalations
- Lead periodic financial crime reviews
- Provide guidance to the business on financial crime matters
- Prepare key management and regulatory reports
- Contribute to broader compliance work including regulatory and ad hoc projects
Requirements
- 5+ years’ experience in second line financial crime assurance , preferably within fast paced business environment
- Strong regulatory knowledge including Money Laundering Regulations, POCA, JMLSG guidance and the ability to interpret and apply complex regulations in a practical way
- Experience in designing and delivering second line assurance programmes and overseeing the effective testing of financial crime controls and outcomes
- Excellent data analysis skills
- Effective in communicating and presenting to senior management
- Excellent stakeholder management skills
- Fluency in English
- Ability to work autonomously with minimal guidance
- A relevant financial crime qualification such as the ICA, CISI or ACAMS would be beneficial
Benefits
- Opportunity to join a fast-growing, award-winning and super ambitious company
- Work with a friendly team of highly motivated individuals
- Be in an environment where you are listened to and can actually have an impact
- Thriving collaborative and inclusive company culture
- Company shares
- Company pension scheme
- Hybrid working environment
- Home office furniture allowance
- Private Medical Insurance
- Personal Annual Learning and Development budget
- Health Cashback Plan – cashback on everyday healthcare like dental and opticians
- Cycle to work scheme – spread the cost of a new bike and accessories
- CycleSaver – save on bike share subscriptions and have a more sustainable commute
- Wellhub subscription to a variety of gyms and wellbeing apps
- Enhanced parental pay & leave
- 25 days holiday + bank holidays with additional days added with length of service.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
Director of Anti - Money Laundering investigations at Fidelity, leading a team to handle financial crimes compliance and regulatory requirements.
CO
Investigator supporting Anti - Money Laundering processes at Capital One. Review alerts, conduct research, and document results to ensure compliance with regulations.
AML Senior Analyst gathering and analyzing documentation for KYC profiles at PwC Financial Crime Unit. Evaluating AML risk ratings and supporting junior staff in project environments.
KYC & Onboarding Analyst supporting customers during the registration and verification process at Play North. Reviewing documents, assisting with issues, and contributing to the KYC lifecycle.
AML Analyst supporting financial institutions in preventing financial crimes. Responsibilities include research, documentation analysis, and compliance with policies in Poland and abroad.
AML Analyst in PwC's Financial Crime Unit supporting Brazilian Portuguese clients with compliance. Engaging in research and analysis pertaining to financial crime and regulations.
Global Financial Crime Modernization Lead driving financial crime systems modernization at Manulife. Requires extensive experience in compliance and technology transformation roles.
AML Monitoring Officer specializing in transaction monitoring and alert handling at financial institution. Ensuring compliance and collaborating with external AML vendors in Limassol, Cyprus.
Senior Manager leading financial crimes model validation at RBC. Collaborating to validate machine learning models and enhance detection capabilities against financial crimes.