At a Glance
- Tasks: Drive model development and tackle complex data challenges in a dynamic team.
- Company: Join Deutsche Bank, a leading global bank with a commitment to diversity and inclusion.
- Benefits: Enjoy hybrid working, competitive salary, 30 days holiday, and flexible benefits.
- Other info: Great career growth opportunities and a supportive environment focused on your wellbeing.
- Why this job: Make a real impact by developing models that detect fraud and enhance financial security.
- Qualifications: Experience in data science, strong Python skills, and a passion for financial markets.
The predicted salary is between 50000 - 70000 £ per year.
Location: London
Corporate Title: Vice President
Group Strategic Analytics (GSA) 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 TaCC team sits within Deutsche Bank’s GSA. 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 Bank, to develop bespoke anomaly detection models. Our subject matter and dataset are complex, continually evolving. 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.
- 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/new models into technical proposals.
Your skills and experience:
- 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 financial markets, 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 be able to explain complex concepts effectively.
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.
If you have a disability, health condition, or require any adjustments during the application process, we encourage you to contact our Adjustments Concierge on adjustmentsconcierge@db.com to discuss how we can best support you. Alternatively, you can share your phone number, and a member of the team will be happy to call you to talk through your specific requirements.
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.
Quantitative Developer, Trading and Client Controls (TaCC) employer: Dormont Manufacturing Co
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, and a strong focus on diversity and inclusion, employees are empowered to thrive both professionally and personally. The TaCC team provides unique opportunities for growth in quantitative model development, making it an ideal place for those seeking meaningful and impactful work.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer, Trading and Client Controls (TaCC)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Dormont Manufacturing Co!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Quantitative Developer, Trading and Client Controls (TaCC) at Dormont Manufacturing Co.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dormont Manufacturing Co.
✨Apply Directly through Our Website
When you find a suitable opening like Quantitative Developer, Trading and Client Controls (TaCC) at Dormont Manufacturing Co, 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 Quantitative Developer, Trading and Client Controls (TaCC)
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 Dormont Manufacturing Co, 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 Dormont Manufacturing Co. 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 Dormont Manufacturing Co
✨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!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨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 Dormont Manufacturing Co!
✨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.