Financial Crime Officer
Finom
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Spain
Responsibilities
- Review and Escalate Cases: Conduct thorough reviews of complex and high-risk cases escalated by the First Line of Defense (CDD and Transaction Monitoring teams).
- Model Validation: Validate the results of internally developed Machine Learning models to ensure their accuracy and effectiveness before they are deployed into production.
- Regulatory Reporting: Prepare and submit Suspicious Activity Reports (SARs) to Financial Intelligence Units (FIUs) across multiple jurisdictions, and manage responses to information requests from competent authorities.
- Due Diligence: Perform comprehensive due diligence on employees and investors as part of our internal control measures.
- Process Enhancement: Actively contribute to the enhancement of our Transaction Monitoring and Customer Due Diligence (CDD) risk engines and related processes.
- Operational Support: Support departmental process improvement initiatives, including drafting and reviewing system requirements for financial crime-related features.
- Training & Collaboration: Deliver regular internal Anti-Money Laundering (AML) training sessions and collaborate with colleagues to optimize processes.
- Project Management: Take responsibility for initiating and managing ad-hoc projects within the department to ensure operational efficiency.
Who you are
- Proven experience in a financial crime, AML, or compliance role, with a strong focus on case review and escalation.
- 1-2 year of proven experience in the Second Line of Defense (Compliance function) within a regulated financial institution, or at least 3 years of relevant experience in the First Line of Defense
- Demonstrated experience preparing and submitting Suspicious Activity Reports (SARs).
- Knowledge of AML/CFT regulations and the ability to apply them in a practical setting.
- Experience with due diligence processes for individuals and/or entities.
- Strong analytical skills with the ability to review complex data and identify suspicious patterns.
- Excellent communication and collaboration skills, with the ability to work effectively across different teams.
- A proactive and independent work style, with the ability to manage multiple projects simultaneously.
Preferred Qualifications
- Experience with Machine Learning model validation or a similar technical role.
- Familiarity with financial crime risk engines and related technology.
- Relevant professional certifications (e.g., ACAMS, CFE, etc.).
This job is no longer accepting applications
See open jobs at Finom.See open jobs similar to "Financial Crime Officer" General Catalyst.