At a Glance
- Tasks: Develop and implement fraud detection models using cutting-edge data science techniques.
- Company: Join Deutsche Bank's innovative Group Strategic Analytics team in London.
- Benefits: Enjoy hybrid working, competitive salary, 30 days holiday, and flexible perks.
- Other info: Diverse and inclusive workplace with excellent training and development opportunities.
- Why this job: Make a real impact in financial security while advancing your career in tech.
- Qualifications: Experience in data science, Python programming, and understanding of financial markets required.
The predicted salary is between 60000 - 80000 € per year.
Location: London
Corporate Title: Vice President
Group Strategic Analytics (GSA) is part of the Group Chief Operation Office (COO) and acts as the bridge between Deutsche Bank's businesses and infrastructure functions to deliver the efficiency, control, and transformation goals of the Bank. The TaCC team sits within Deutsche Bank's GSA and has a global remit to develop bespoke anomaly detection models to identify fraud across all products, businesses and regions in the Investment and Corporate Bank. You will be responsible for driving the development of our core models and controls to help identify fraud.
Responsibilities:
- Drive model implementation (from prototype to production), following rigorous coding, testing and documentation best practice.
- Drive the technical integration and migration of new, complex data source systems into our existing data pipelines and model ecosystems.
- Develop and evolve platform reporting statistics/data to monitor ongoing model success.
- Engage key stakeholders to understand needs and requirements.
- Provide guidance on usage and translating needs for changes or new models into technical proposals.
Qualifications:
- Relevant experience conducting data science or model development in a business setting.
- Demonstrated experience with data integration, Extract, Transform Load (ETL)/Extract Load Transform (ELT) processes and data quality assurance, especially involving new data-source systems.
- Educated to bachelor’s degree level or equivalent qualification / relevant work experience.
- Excellent programming skills, predominantly across the Python/Anaconda suite (Scikit-learn, Pandas, NumPy).
- Understanding of financial markets and risk; for example, Know Your Client (KYC), anomaly detection / machine learning, project management.
- Excellent interpersonal skills with the ability to collaborate and partner with various teams and to explain complex concepts effectively.
Skills and Experience:
- Python/Anaconda programming and data-science tool proficiency.
- Data-integration and ETL/ELT experience with new source systems.
- Financial-market risk knowledge including KYC and anomaly-detection use cases.
- Strong collaboration and stakeholder-management ability.
Benefits:
- Hybrid working – eligible employees can work remotely part of their working time.
- Competitive salary and non-contributory pension.
- 30 days' holiday plus bank holidays, with the option to purchase additional days.
- Life assurance and private healthcare for you and your family.
- A range of flexible benefits including retail discounts, a Bike4Work scheme and gym benefits.
- Opportunity to support a wide-ranging CSR programme and 2 days' volunteering leave per year.
Training and Support:
- Training and development to help you excel in your career.
- Flexible working to assist you balance your personal priorities.
- Coaching and support from experts in your team.
Equal Opportunities:
We value diversity and as an equal-opportunities employer we make reasonable adjustments for those with a disability, such as the provision of assistive equipment if required (for example, screen readers, assistive hearing devices, adapted keyboards). If you have a disability, health condition, or require any adjustments during the application process, please contact our Adjustments Concierge at adjustmentsconcierge@db.com. We welcome applications from all people and promote a positive, fair and inclusive working environment.
Quantitative Developer, Trading and Client Controls (TaCC) in City of Westminster employer: Deutsche Bank AG
Deutsche Bank is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the Quantitative Developer role. Located in London, employees benefit from a hybrid working model, competitive salary, generous holiday allowance, and comprehensive health benefits, alongside ample opportunities for professional growth and development through expert coaching and training. The bank's commitment to diversity and inclusion ensures a supportive environment where every employee can thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer, Trading and Client Controls (TaCC) in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at Deutsche Bank or similar firms. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or GitHub repositories, make sure to highlight them. Demonstrating your coding prowess in Python and data integration can really set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of financial markets and risk management. Be ready to discuss how your experience with anomaly detection and KYC can benefit the TaCC team.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team!
We think you need these skills to ace Quantitative Developer, Trading and Client Controls (TaCC) in City of Westminster
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Developer role. Highlight your experience with data science, model development, and any relevant programming skills, especially in Python. We want to see how your background aligns with what we're looking for!
Showcase Your Projects:Include specific projects or examples where you've implemented models or worked with ETL processes. This gives us a clear picture of your hands-on experience and how you can contribute to our team at StudySmarter.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate straightforward communication that gets to the heart of your qualifications.
Apply Through Our Website:Don't forget to apply 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 you're keen on joining the StudySmarter family!
How to prepare for a job interview at Deutsche Bank AG
✨Know Your Models
Make sure you understand the core models and controls related to anomaly detection. Be ready to discuss how you would drive model implementation from prototype to production, and share any relevant experiences you've had with similar projects.
✨Brush Up on Data Integration
Familiarise yourself with ETL/ELT processes and be prepared to talk about your experience with data integration, especially involving new data-source systems. Highlight any specific challenges you've faced and how you overcame them.
✨Showcase Your Programming Skills
Since Python and the Anaconda suite are key for this role, be ready to demonstrate your programming skills. You might be asked to solve a coding problem or explain your approach to a data science task, so practice articulating your thought process.
✨Engage with Stakeholders
Prepare to discuss how you would engage with key stakeholders to understand their needs. Think of examples where you've successfully collaborated with different teams and how you translated complex concepts into actionable proposals.
