At a Glance
- Tasks: Join a dynamic team to develop cutting-edge trading applications and improve financial solutions.
- Company: A leading bank focused on innovation and efficiency in financial services.
- Benefits: Enjoy hybrid working, competitive salary, generous holiday, and health benefits.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact in finance while working with advanced technology and talented professionals.
- Qualifications: Experience in kdb+/Q and strong communication skills are essential.
The predicted salary is between 60000 - 80000 £ per year.
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. You will join the Quantitative Fixed Income Engineering team which builds applications that deliver quantitatively led pricing and trading solutions for the Rates, Credit and Repo businesses. Our team develops software using modern development practices to create high quality systems that can be iterated on rapidly and safely. Our KDB datastore sits on the critical path for our users for many purposes including live trading, regulatory driven reporting, structured research and ad‑hoc analytics. Performance and uptime are critical, requiring ongoing development, both for new features and maintenance, as the platform expands. You will design, implement and deliver such improvements working closely with quants, engineers and infrastructure teams in an agile environment to realise those goals.
Responsibilities and Qualifications
- Ongoing development in kdb+/q and associated application infrastructure/tooling.
- Deliver both business-driven and engineering-driven functional changes to the platform.
- Act as a KDB subject‑matter expert (SME) to translate real‑world problems into solutions that effectively use the platform.
- Take end‑to‑end responsibility for delivery, working with other IT groups to define and deliver proper hardware infrastructure, deploy kdb components and work with Support teams to establish monitoring.
- Hands‑on expertise in engineering solutions using kdb+/Q.
- Understanding of kdb+ tick architecture and table design.
- Ability to write efficient joins and aggregations in Q.
- Shell‑scripting experience in a Unix/Linux environment.
- Strong grounding in computer engineering; preferably a bachelor's degree in a technical field or equivalent qualification/work experience.
- Excellent interpersonal and communication skills, with a particular emphasis on clear technical communication with both specialists and non‑specialists.
Equality and Diversity
We value diversity and are an equal‑opportunity employer. We make reasonable adjustments for applicants with disabilities such as the provision of assistive equipment, screen readers, assistive hearing devices, or adapted keyboards.
Benefits
- Hybrid working – eligible employees can work remotely part of their 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 family.
- Flexible benefits including retail discounts, a Bike4Work scheme and gym benefits.
- Opportunity to support a wide CSR programme and 2 days volunteering leave per year.
Quantitative Trading Engineer employer: Deutsche Bank AG
As a Quantitative Trading Engineer at our esteemed bank, you will thrive in a dynamic and inclusive work culture that prioritises innovation and collaboration. With access to hybrid working arrangements, competitive salaries, and comprehensive benefits including private healthcare and generous holiday allowances, we are committed to fostering your professional growth while supporting a healthy work-life balance. Join us in a role where your expertise in kdb+/Q will directly contribute to cutting-edge trading solutions, all within a supportive environment that values diversity and community engagement.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Trading Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving kdb+/Q. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to quantitative trading and be ready to discuss your past experiences in detail.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Quantitative Trading Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Trading Engineer role. Highlight your experience with kdb+/Q and any relevant projects that showcase your skills in quantitative analysis and software development.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about this role and how your background fits with our team. Be sure to mention your hands-on experience and any specific achievements that demonstrate your expertise.
Showcase Your Technical Skills:Don’t forget to include specific examples of your technical skills, especially in kdb+/Q and Unix/Linux environments. We want to see how you’ve applied these skills in real-world scenarios, so be as detailed as possible!
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 ensures you don’t miss out on any important updates from our team.
How to prepare for a job interview at Deutsche Bank AG
✨Know Your KDB+/Q Inside Out
Make sure you brush up on your KDB+/Q skills before the interview. Be prepared to discuss your experience with kdb+ tick architecture, table design, and writing efficient joins and aggregations in Q. The more confident you are in your technical knowledge, the better you'll be able to impress the interviewers.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to demonstrate how you've translated real-world problems into effective solutions using KDB. Think of specific examples where you've taken end-to-end responsibility for a project, and be prepared to explain your thought process and the impact of your work.
✨Communicate Clearly and Effectively
Since the role requires clear communication with both specialists and non-specialists, practice explaining complex technical concepts in simple terms. This will show that you can bridge the gap between technical and non-technical teams, which is crucial for success in this position.
✨Familiarise Yourself with Agile Practices
As the team works in an agile environment, it’s important to understand agile methodologies. Be ready to discuss your experience working in agile teams, how you handle feedback, and how you adapt to changes quickly. This will demonstrate your ability to thrive in a fast-paced setting.
