Investigating financial crime risk for TD Bank with high complexity investigations. Collaborating with various stakeholders and leading project initiatives within the team.
About the role
- 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.
Requirements
- 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: Experience with Machine Learning model validation or a similar technical role.
- Preferred: Familiarity with financial crime risk engines and related technology.
- Preferred: Relevant professional certifications (e.g., ACAMS, CFE, etc.).
Benefits
- Make a genuine impact on the product
- Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
- Work in the EU
- Enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
- Become a stock options holder
- Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
- Receive unwavering support and care
- Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
- Work & Swim program
- Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
- Equal Opportunity Statement: At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Location requirements
SG
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