At a Glance
- Tasks: Drive model development to detect fraud and enhance trading controls.
- Company: Deutsche Bank, a leading global bank with a commitment to diversity.
- Benefits: Competitive salary, 30 days holiday, private healthcare, and flexible working options.
- Other info: Opportunities for training, development, and community volunteering.
- Why this job: Join a dynamic team tackling complex data challenges in finance.
- Qualifications: Experience in data science, strong Python skills, and excellent communication.
The predicted salary is between 60000 - 80000 € per year.
Location: London
Corporate Title: Vice President
Group Strategic Analytics is part of Group Chief Operation Office (COO) which acts as the bridge between the Bank’s businesses and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. The Trading and Client Controls (TaCC) team sits within Deutsche Bank's Group Strategic Analytics. With group-wide responsibility for model development, GSA takes a cross-business and cross-functional approach to solving complex quantitative encounters. The TaCC team has a global remit, across all products, businesses and regions in the Investment and Corporate Banks, to develop bespoke anomaly detection models. Our subject matter and datasets are complex, continually evolving and varied, so we are recruiting people who are highly motivated and highly skilled. You will be responsible for driving the development of our core models and controls to help identify fraud. As part of this, you will take ownership of a problem set, manage stakeholders, and drive growth of a high-quality code base.
What we’ll offer you:
- Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them.
- 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.
- The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year.
Your key responsibilities:
- Drive model implementation (from prototype to production), following rigorous coding, testing, and documentation best practice.
- 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/new models into technical proposals.
Your skills and experience:
- Previous relevant experience conducting data science or model development in a business setting.
- 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).
- Excellent analytical and data science skills, including ability to independently drive research.
- Excellent communication skills, both written and verbal. Ability to manage multiple stakeholders is beneficial.
- Understanding financial markets, risk (for example, Know Your Client (KYC), anomaly detection/Machine Learning, project management).
How we’ll support you:
- 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.
- A range of flexible benefits that you can tailor to suit your needs.
- 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).
About us:
Deutsche Bank is the leading German bank with strong European roots and a global network. Deutsche Bank in the UK is proud to have been named The Times Top 50 Employers for Gender Equality 2025 for six consecutive years. Additionally, we have been awarded a Gold Award from Stonewall and named in their Top 100 Employers 2024 for our work supporting LGBTQ+ inclusion. We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.
Senior Data Scientist - Model Developer in London employer: Deutsche Bank
Deutsche Bank is an exceptional employer, offering a dynamic work environment in London that prioritises employee development and wellbeing. With a commitment to hybrid working, competitive benefits including generous holiday allowances, and a strong focus on diversity and inclusion, employees are empowered to thrive both professionally and personally. The opportunity for growth within the Group Strategic Analytics team, coupled with access to expert coaching and a supportive culture, makes Deutsche Bank a standout choice for those seeking meaningful and rewarding careers in data science.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Model Developer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Deutsche Bank on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with Python and model development. We want to see how you tackle complex problems!
✨Tip Number 3
Showcase your passion for data science! During interviews, share examples of projects you've worked on, especially those involving anomaly detection or KYC. Let us see your enthusiasm and expertise shine through.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our team at Deutsche Bank.
We think you need these skills to ace Senior Data Scientist - Model Developer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience in model development and data science, especially any relevant projects that showcase your skills in Python and anomaly detection.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of how you've driven model implementation or engaged with stakeholders in previous roles. Make it personal and engaging!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use your application to show how your analytical abilities and programming expertise have led to successful outcomes in past projects. We love seeing real-world applications of your skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets into the right hands and allows us to keep track of all applicants efficiently.
How to prepare for a job interview at Deutsche Bank
✨Know Your Models
Before the interview, make sure you’re well-versed in the models you’ve worked on. Be ready to discuss your approach to model development, including the coding practices you follow and how you ensure quality in your work. This will show your technical expertise and commitment to best practices.
✨Engage with Stakeholders
Since the role involves managing multiple stakeholders, prepare examples of how you've successfully engaged with different teams in the past. Think about how you identified their needs and translated them into actionable insights or technical proposals. This will demonstrate your communication skills and ability to collaborate effectively.
✨Showcase Your Analytical Skills
Be prepared to discuss specific analytical challenges you've faced and how you overcame them. Use real-world examples that highlight your problem-solving abilities, especially in areas like anomaly detection or KYC. This will help illustrate your experience and analytical mindset.
✨Understand the Financial Landscape
Brush up on your knowledge of financial markets and risk management concepts relevant to the role. Being able to speak confidently about these topics will not only impress your interviewers but also show that you understand the context in which your models will be applied.
