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- Tasks: Lead data governance for anti-money laundering and compliance, ensuring accuracy and risk management.
- Company: Join a dynamic fintech company focused on innovative solutions in global trade compliance.
- Benefits: Enjoy flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in compliance while collaborating with tech teams to drive innovation.
- Qualifications: Bachelor’s degree in relevant fields and two years of experience in big data analysis required.
- Other info: Fluency in English is essential; Chinese proficiency is a plus.
The predicted salary is between 43200 - 72000 £ per year.
Main responsibilities include:
- Responsible for the governance of underlying anti-money laundering/sanctions/global trade compliance data to ensure the accuracy and completeness of data used by strategies, models, and systems.
- Drive the identification and management of anti-money laundering/sanctions/global trade compliance risks using data-driven methods, assisting compliance officers in formulating effective risk control plans.
- Support site compliance teams in responding to regular or ad-hoc internal and external regulatory inspections, providing regulatory reporting and data support.
- Innovate with technical and algorithm teams to enhance automation in quantitative strategy qualification and improve manual review efficiency through big model-driven methods.
Requirements:
- Bachelor’s degree or above in relevant fields such as statistics, mathematics, computer science, etc.
- At least two years of experience in big data risk control analysis and modeling, preferably in industries such as banking, third-party payment institutions, or fintech, with a preference for anti-money laundering/sanctions/global trade compliance experience.
- Proficient in SQL data processing and skilled in using at least one professional analysis tool, such as SAS, Python, R, etc.
- Strong project management experience, good team collaboration skills, and ability to work under pressure.
- Fluent in English listening, speaking, reading, and writing; proficiency in Chinese communication is preferred.
Contact Detail:
World First Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fraud & AML Analytics Manager
✨Tip Number 1
Familiarise yourself with the latest trends and regulations in anti-money laundering and sanctions. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in this rapidly evolving field.
✨Tip Number 2
Network with professionals in the fraud and AML analytics space. Attend industry conferences, webinars, or local meetups to connect with others who can provide insights or even refer you to opportunities at StudySmarter.
✨Tip Number 3
Brush up on your SQL and analytical skills by working on real-world projects or case studies. Being able to showcase your technical abilities in a practical context can set you apart from other candidates.
✨Tip Number 4
Prepare for potential interview questions by practising how you would approach risk control analysis and data governance scenarios. Think about specific examples from your past experience that highlight your problem-solving skills and project management capabilities.
We think you need these skills to ace Fraud & AML Analytics Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in anti-money laundering, sanctions, and global trade compliance. Emphasise your skills in data analysis, project management, and any specific tools like SQL, SAS, Python, or R.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about fraud and AML analytics. Mention specific projects or experiences that demonstrate your ability to manage risks and work with compliance teams.
Showcase Your Technical Skills: Clearly outline your proficiency in SQL and any other analytical tools you are familiar with. Provide examples of how you've used these skills in previous roles to drive data-driven decisions.
Highlight Team Collaboration: Discuss your experience working in teams, especially in high-pressure environments. Provide examples of successful collaborations that led to effective risk control plans or improved compliance processes.
How to prepare for a job interview at World First Ltd
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL and any analysis tools like SAS, Python, or R during the interview. Be prepared to discuss specific projects where you used these skills to drive data-driven decisions.
✨Demonstrate Your Experience in Risk Control
Share examples from your past roles that illustrate your experience in big data risk control analysis and modelling. Focus on how you identified risks and contributed to effective risk control plans, especially in the context of anti-money laundering or sanctions.
✨Prepare for Regulatory Questions
Since the role involves responding to regulatory inspections, be ready to discuss your understanding of compliance regulations. Familiarise yourself with common regulatory frameworks and be prepared to explain how you've supported compliance teams in the past.
✨Emphasise Team Collaboration
Highlight your project management experience and ability to work under pressure. Discuss instances where you collaborated with technical teams to innovate solutions, as this will show your capability to enhance automation and improve efficiency.
