Fraud AI Model Engineer (Hybrid) in Whitehall

Fraud AI Model Engineer (Hybrid) in Whitehall

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

At a Glance

  • Tasks: Develop and integrate AI models to combat fraud using top-notch coding practices.
  • Company: Join Deutsche Bank AG, a leader in financial services with a focus on innovation.
  • Benefits: Enjoy hybrid working, competitive salary, and a range of attractive benefits.
  • Other info: Collaborative environment with opportunities for professional growth.
  • Why this job: Make a real difference in fraud prevention while honing your data science skills.
  • Qualifications: Experience in data science and strong programming skills in Python required.

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

Deutsche Bank AG in Whitehall is looking for a professional to drive the development of core models identifying fraud through rigorous coding and best practices. You will oversee the integration of complex data and ensure high quality of the code base.

The ideal candidate should have relevant data science experience, excellent programming skills primarily in Python, and the ability to effectively engage with stakeholders.

The position offers hybrid working, a competitive salary, and various benefits.

Fraud AI Model Engineer (Hybrid) in Whitehall employer: Deutsche Bank AG

Deutsche Bank AG is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Whitehall. With a commitment to employee growth, you will have access to continuous learning opportunities and a competitive salary package, alongside the flexibility of hybrid working arrangements that promote a healthy work-life balance.

Deutsche Bank AG

Contact Details:

Deutsche Bank AG Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Fraud AI Model Engineer (Hybrid) in Whitehall

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Apply Directly through Our Website

When you find a suitable opening like Fraud AI Model Engineer (Hybrid) at Deutsche Bank AG, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Fraud AI Model Engineer (Hybrid) in Whitehall

Data Science Experience
Programming Skills in Python
Model Development
Fraud Detection
Data Integration
Code Quality Assurance
Stakeholder Engagement

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Deutsche Bank AG, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Deutsche Bank AG. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Deutsche Bank AG

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Deutsche Bank AG!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.