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- Tasks: Lead a team to enhance financial crime detection through advanced analytics and model optimisation.
- Company: Global banking organisation with a focus on innovation and compliance.
- Benefits: Competitive daily rate, hybrid working, and exposure to cutting-edge analytics.
- Why this job: Make a real impact in the fight against financial crime while developing your analytical skills.
- Qualifications: Experience in financial crime analytics and strong data science skills required.
- Other info: Dynamic role with opportunities for professional growth in a global environment.
5 month contract, £600 per day inside IR35. London/Hybrid, 3 days in the office. My client is a Global Banking organisation seeking a highly skilled Financial Crime Analytics Lead or Data Scientist to join their EMEA Financial Crime Operations team. You will work within the Intelligence & Analytics function, responsible for enhancing the effectiveness of transaction monitoring and sanctions screening systems. This is a hands-on, data-driven role with a focus on leveraging advanced analytics, optimisation techniques, and model validation to strengthen financial crime detection across multiple jurisdictions. This role will suit an expert in Financial Crime Analytics or a Data Scientist with a background in transaction monitoring and sanctions.
Key Responsibilities
- Lead a specialist analytics team to develop, optimise, and enhance segmentation, tuning, and monitoring logic in transaction monitoring and sanctions screening programs.
- Coordinate and implement detection scenarios to identify potential financial crime activity.
- Support the design, tuning, and optimisation of automated monitoring and sanctions screening models, ensuring high alert quality and efficiency.
- Contribute to the development and validation of models, including scenario calibration, segmentation logic, and optimisation frameworks.
- Collaborate with regional analytics teams to share learnings and implement global improvements in financial crime detection.
- Assist in updating policies, procedures, and governance frameworks related to transaction monitoring and sanctions screening activities.
- Translate complex analytical insights into actionable recommendations for operational teams, senior management, and regulators.
- Oversee model validation, memorialise assumptions, and ensure regulatory alignment with AML, sanctions, and financial crime compliance standards.
Key Skills/Experience
- Proven track record in transaction monitoring and financial crime detection, with experience in sanctions screening highly desirable.
- Strong experience in a global banking organisation, consultancy, or regulatory environment, with strong analytical and problem-solving skills.
- Hands-on experience with data engineering and data science techniques: building scalable analytics pipelines, model development, and optimisation frameworks.
- Transaction monitoring system experience would be advantageous such as Actmize, Fiserve AML, SAS AML, FICO TONBELLER, Oracle Mantas.
- Advanced analytical tools and programming languages, experience of Python is essential, advantageous to have exposure to SQL, Spark, Databricks, Snowflake, Pandas, or similar.
- Strong knowledge of financial crime regulations, including AML, sanctions, and monitoring requirements across EMEA jurisdictions.
- Excellent written and verbal communication skills, with the ability to present complex analytical insights clearly to senior management and regulatory bodies.
- Degree or equivalent industry-standard qualification in a quantitative, technical, or finance-related discipline.
Financial Crime Analytics Lead employer: Magnit Global
Contact Detail:
Magnit Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Crime Analytics Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking and financial crime sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytics projects, especially those related to financial crime detection. This will give potential employers a taste of what you can bring to the table, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AML regulations and transaction monitoring systems. Be ready to discuss how you've used advanced analytics in past roles. We want to see that you can translate complex insights into actionable recommendations!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that Financial Crime Analytics Lead role!
We think you need these skills to ace Financial Crime Analytics Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Financial Crime Analytics Lead role. Highlight your experience in transaction monitoring and financial crime detection, and don’t forget to mention any relevant tools like Python or SQL that you’ve used.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Talk about your hands-on experience with data science techniques and how you've contributed to enhancing financial crime detection in the past.
Showcase Your Analytical Skills: In your application, be sure to showcase your analytical skills. Provide examples of how you've used advanced analytics and optimisation techniques to improve transaction monitoring systems. This will help us see your problem-solving abilities in action!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Magnit Global
✨Know Your Analytics Inside Out
Make sure you brush up on your knowledge of financial crime analytics and the specific tools mentioned in the job description, like Python and transaction monitoring systems. Be ready to discuss how you've used these tools in past roles to enhance detection and monitoring.
✨Prepare Real-World Examples
Think of specific instances where you've led a team or implemented successful analytics strategies. Use the STAR method (Situation, Task, Action, Result) to structure your answers, showcasing your problem-solving skills and ability to translate complex data into actionable insights.
✨Understand Regulatory Frameworks
Familiarise yourself with the financial crime regulations relevant to EMEA jurisdictions. Be prepared to discuss how you've ensured compliance in previous roles and how you would approach updating policies and procedures in this new position.
✨Communicate Clearly and Confidently
Practice explaining complex analytical concepts in simple terms. Since you'll be presenting insights to senior management and regulators, being able to communicate effectively is crucial. Consider doing mock interviews with friends or colleagues to refine your delivery.