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 private healthcare.
- Other info: Receive training and support from industry experts with excellent career growth opportunities.
- Why this job: Make a real impact in financial security while advancing your career in a dynamic environment.
- 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
Overview: 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. We welcome applications from all people and promote a positive, fair and inclusive working environment.
Quantitative Developer, Trading and Client Controls (TaCC) employer: Deutsche Bank AG
Deutsche Bank is an exceptional employer, offering a dynamic work environment in London where innovation meets collaboration. As a Quantitative Developer in the Trading and Client Controls team, you will benefit from a competitive salary, hybrid working options, and extensive training opportunities to advance your career. The inclusive culture promotes diversity and provides a range of flexible benefits, ensuring that employees can thrive both professionally and personally.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer, Trading and Client Controls (TaCC)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Deutsche Bank. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or models you've worked on, make sure to highlight them in conversations. It’s all about demonstrating what you can bring to the table.
✨Tip Number 3
Prepare for those tricky technical interviews! Brush up on your Python skills and be ready to discuss your experience with data integration and anomaly detection. Practice makes perfect!
✨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 genuinely interested in joining the team.
We think you need these skills to ace Quantitative Developer, Trading and Client Controls (TaCC)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Developer role. Highlight your experience with Python, data integration, and any relevant projects that showcase your skills in anomaly detection and model development.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for the TaCC team. Share specific examples of your past work that align with our goals, especially around fraud detection and stakeholder engagement.
Showcase Your Technical Skills:Don’t forget to emphasise your programming skills, particularly with Python and data science tools. We want to see how you’ve used these skills in real-world scenarios, so be specific about your contributions.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
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 prepared to discuss how you would drive model implementation from prototype to production, and share examples of your past experiences in model development.
✨Data Integration Mastery
Brush up on your ETL/ELT processes and be ready to explain how you've handled data integration with new source systems. Highlight any specific challenges you've faced and how you overcame them, as this will show your problem-solving skills.
✨Stakeholder Engagement
Demonstrate your excellent interpersonal skills by preparing to discuss how you've engaged with key stakeholders in previous roles. Think of examples where you translated complex needs into technical proposals, as this is crucial for the role.
✨Programming Proficiency
Since strong programming skills in Python/Anaconda are essential, be ready to showcase your expertise. You might even want to prepare a small coding example or discuss a project where you used libraries like Scikit-learn, Pandas, or NumPy effectively.
