At a Glance
- Tasks: Drive model development to combat fraud and manage stakeholder needs.
- Company: Dynamic financial firm focused on innovation and collaboration.
- Benefits: Hybrid working, competitive salary, 30 days holiday, and private healthcare.
- Other info: Join a diverse team with excellent career growth and volunteering opportunities.
- Why this job: Make a real impact in fraud detection using cutting-edge technology.
- Qualifications: Experience in data science, programming skills in Python, and strong interpersonal abilities.
The predicted salary is between 60000 - 80000 £ per year.
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.
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 translate needs for changes/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 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 explain complex concepts effectively.
Benefits
- Hybrid Working – work remotely for a part of your working time with an arrangement that fits your needs.
- 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 plus 2 days volunteering leave per year.
We value diversity and as an equal‑opportunity 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, we encourage you to contact our Adjustments Concierge.
Quantitative Developer, Trading and Client Controls (TaCC) in Whitehall employer: Deutsche Bank AG
As a Quantitative Developer at our company, you will thrive in a dynamic and inclusive work environment that prioritises innovation and collaboration. With a strong focus on employee growth, we offer extensive training opportunities, a competitive salary, and a comprehensive benefits package including hybrid working options and generous holiday allowances. Join us in our mission to combat fraud while enjoying the unique advantages of working in a supportive culture that values diversity and community engagement.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer, Trading and Client Controls (TaCC) in Whitehall
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We think you need these skills to ace Quantitative Developer, Trading and Client Controls (TaCC) in Whitehall
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!
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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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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 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.
