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- Tasks: Lead Transaction Monitoring model strategies and optimise quantitative models for compliance.
- Company: Major UK financial institution with a focus on employee wellbeing.
- Benefits: Flexible working model and commitment to employee wellbeing.
- Why this job: Make a real impact in anti-money laundering efforts while developing your skills.
- Qualifications: Master's or PhD in a quantitative discipline, Python and Machine Learning proficiency.
- Other info: Join a dynamic team with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
A major financial institution in the UK is seeking an experienced professional to lead Transaction Monitoring model strategies within their Group Strategic Analytics team. The role requires expertise in developing and optimizing quantitative models, with a keen focus on compliance and anti-money laundering.
The ideal candidate will have a Master's or PhD in a quantitative discipline, proficiency in Python and Machine Learning, and a hands-on approach to model deployment.
The organization promotes a flexible working model and a commitment to employee wellbeing.
Hybrid Quantitative Data Scientist – AML Monitoring in London employer: Deutsche Bank
Contact Detail:
Deutsche Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Quantitative Data Scientist – AML Monitoring in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial sector, especially those working in analytics or compliance. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models and any relevant projects you've worked on. This is your chance to demonstrate your expertise in Python and Machine Learning, so make it shine!
✨Tip Number 3
Prepare for the interview by brushing up on AML regulations and transaction monitoring strategies. We want you to be ready to discuss how your experience aligns with the role and how you can contribute to their compliance efforts.
✨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.
We think you need these skills to ace Hybrid Quantitative Data Scientist – AML Monitoring in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in developing and optimising quantitative models, especially in the context of compliance and anti-money laundering. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AML monitoring and how your background in Python and Machine Learning makes you a perfect fit for our team. We love hearing your story, so make it personal!
Showcase Your Technical Skills: Since this role requires proficiency in Python and Machine Learning, be sure to mention specific projects or experiences where you’ve used these skills. We’re looking for hands-on experience, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Deutsche Bank
✨Know Your Models Inside Out
Make sure you can discuss your experience with quantitative models in detail. Be prepared to explain how you've developed and optimised these models, especially in the context of anti-money laundering. Use specific examples from your past work to demonstrate your expertise.
✨Brush Up on Python and Machine Learning
Since proficiency in Python and Machine Learning is key for this role, ensure you're comfortable discussing relevant libraries and frameworks. You might be asked to solve a problem or explain a concept during the interview, so practice coding challenges and review your ML projects beforehand.
✨Understand Compliance and AML Regulations
Familiarise yourself with the latest compliance standards and anti-money laundering regulations. Being able to articulate how your work aligns with these regulations will show that you’re not just technically skilled but also aware of the broader implications of your role.
✨Showcase Your Hands-On Approach
This role values a hands-on approach to model deployment, so be ready to share experiences where you’ve taken initiative. Discuss any projects where you’ve implemented models in real-world scenarios, highlighting your problem-solving skills and adaptability in a dynamic environment.
