Fraud Surveillance Data Science Engineer (Hybrid)

Fraud Surveillance Data Science Engineer (Hybrid)

Full-Time 60000 - 80000 € / year (est.) Home office (partial)
Deutsche Bank AG

At a Glance

  • Tasks: Enhance fraud detection using Python, SQL, and GCP to build ML models.
  • Company: Deutsche Bank AG, a leader in financial services with a focus on innovation.
  • Benefits: Competitive salary, private healthcare, and 30 days of holiday.
  • Other info: Hybrid role with a commitment to diversity and inclusion.
  • Why this job: Join a diverse team and make a real impact in fraud detection.
  • Qualifications: Experience in data science and proficiency in Python and SQL.

The predicted salary is between 60000 - 80000 € per year.

Deutsche Bank AG is looking for a Data Science Engineer in London to enhance fraud detection capabilities using cutting-edge technology. You will use hands-on Python, advanced SQL, and GCP to build ML models and data pipelines.

This hybrid role offers great benefits including a competitive salary, private healthcare, and 30 days of holiday. A commitment to diversity and inclusion is emphasized, making it an attractive workplace for all candidates.

Fraud Surveillance Data Science Engineer (Hybrid) employer: Deutsche Bank AG

Deutsche Bank AG is an excellent employer for a Fraud Surveillance Data Science Engineer, offering a dynamic work environment in London that fosters innovation and collaboration. With a strong commitment to diversity and inclusion, employees benefit from a competitive salary, private healthcare, and generous holiday allowances, alongside ample opportunities for professional growth and development in the rapidly evolving field of data science.

Deutsche Bank AG

Contact Detail:

Deutsche Bank AG Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Fraud Surveillance Data Science Engineer (Hybrid)

Tip Number 1

Network like a pro! Reach out to current employees at Deutsche Bank on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.

Tip Number 2

Show off your skills! Prepare a mini-project or a portfolio showcasing your Python and SQL prowess. This hands-on evidence of your abilities can really make you stand out during interviews.

Tip Number 3

Practice makes perfect! Get comfortable with common data science interview questions, especially those related to ML models and data pipelines. We can even do mock interviews together to boost your confidence.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re all about diversity and inclusion, so don’t hesitate to show us what makes you unique!

We think you need these skills to ace Fraud Surveillance Data Science Engineer (Hybrid)

Python
Advanced SQL
GCP (Google Cloud Platform)
Machine Learning (ML) Models
Data Pipelines
Fraud Detection
Data Science

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience with Python, SQL, and GCP in your application. We want to see how you've used these tools in real-world scenarios, so don’t hold back!

Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention how your background aligns with enhancing fraud detection capabilities, as it shows us you’re genuinely interested in the position.

Be Yourself:We value diversity and inclusion, so let your personality shine through in your application. Share your unique experiences and perspectives that make you a great fit for our team.

Apply Through Our Website:For the best chance of success, make sure to submit your application through our website. It’s the easiest way for us to review your details and get back to you quickly!

How to prepare for a job interview at Deutsche Bank AG

Know Your Tech Inside Out

Make sure you’re well-versed in Python, advanced SQL, and GCP. Brush up on your coding skills and be ready to discuss specific projects where you've used these technologies. Practising coding challenges can also help you feel more confident.

Showcase Your Problem-Solving Skills

Prepare to discuss how you've tackled complex data problems in the past. Think of examples where you’ve built ML models or data pipelines, and be ready to explain your thought process and the impact of your work.

Understand Fraud Detection

Familiarise yourself with current trends and challenges in fraud detection. Being able to discuss relevant case studies or recent advancements in the field will show your genuine interest and expertise, making you stand out.

Embrace Diversity and Inclusion

Since Deutsche Bank values diversity, be prepared to share your thoughts on how diverse teams contribute to better outcomes. Reflect on your own experiences and how they align with the company’s commitment to an inclusive workplace.