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- Tasks: Innovate in quantitative trading and manage real-time trading strategies.
- Company: Join Deutsche Bank, a leading global financial institution with a focus on innovation.
- Benefits: Enjoy competitive salary, 30 days holiday, private healthcare, and flexible benefits.
- Why this job: Be at the forefront of algorithmic trading in the world's largest financial market.
- Qualifications: Strong programming skills in Python and experience in machine learning required.
- Other info: Collaborative culture that values diversity and continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
The Foreign Exchange (FX) Electronic Trading business operates on the exciting frontier between the latest quantitative algorithmic trading techniques and the biggest, most liquid, and most competitive financial market in the world. Acclaimed for innovation and client service by main industry publications, the business consistently ranks as a top FX Spot and Swap market-maker globally, winning a plethora of awards.
In a client-centric fashion, by combining market expertise, cutting edge quant research and ultra-low latency technology we aim to provide best in class pricing and risk management for our clients.
You will be responsible for innovative idea generation through to real-time disciplined management of our trading strategies across electronic and voice execution channels. We partner with sales to serve our client franchise, and technologists to evolve our offering. We thrive on innovative thinking to energize the evolution of our trading and actively seek diversity in our team to achieve this. The culture of the team is friendly, open-minded, curious, collaborative, intellectually honest, pragmatic, respectful and data driven.
What We’ll Offer You
- 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
- The focus of the role is innovation in quantitative trading, pushing the frontier of our trading sophistication and automation forward.
- This includes collaborative signal and model research, developing new electronic trading strategies, partnering with our technologists to get those into production, and working with the rest of the trading team to manage the optimisation and evolution of the system.
- There will also be opportunities to meet clients, partner with sales and work with them to optimise the liquidity we provide to our client franchise.
Your Skills And Experience
- A solid understanding and practical experience of Machine Learning (ML), including modern deep learning methods. Ideally you will have experience in Python ML and Reinforcement Learning libraries such as Tensorflow, Keras, Jax, PyTorch.
- Strong programming skills, preferably in Python, KDB, ideally also Java or C++.
- Experience in quantitative research, data analysis, econometrics.
- Educated to PhD, Master’s degree level or equivalent qualification in Mathematics, Physics, Statistics, Machine Learning, Econometrics, Computer Science or equivalent work experience.
- Able to articulate ideas in a clear and concise manner to enable effective communication across a diverse range of people and backgrounds.
How We’ll Support You
- Training and development to help you excel in your career.
- Coaching and support from experts in your team.
- A culture of continuous learning to aid progression.
- 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 (e.g. 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. We have also been awarded a Gold Award from Stonewall and named in their Top 100 Employers 2024 for LGBTQ+ inclusion.
If you have a disability, health condition, or require any adjustments during the application process, please contact adjustmentsconcierge@db.com to discuss how we can support you. You can also share your phone number for a callback.
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.
Foreign Exchange Quantitative Trader employer: Deutsche Bank
Contact Detail:
Deutsche Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Foreign Exchange Quantitative Trader
✨Tip Number 1
Network like a pro! Get out there and connect with people in the finance and trading sectors. Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative trading strategies or any projects you've worked on. This is your chance to demonstrate your expertise in Python, machine learning, and data analysis. Make it easy for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with ML libraries and how you've applied them in real-world scenarios. Practice common interview questions and think about how you can articulate your ideas clearly.
✨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 our team. So, get that application in and let’s make some waves in the FX trading world together!
We think you need these skills to ace Foreign Exchange Quantitative Trader
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills and experience with Machine Learning. We want to see how you can bring innovative ideas to the table, so don’t hold back on showcasing your expertise in Python and any relevant libraries!
Tailor Your Application: Take a moment to customise your application for the Foreign Exchange Quantitative Trader role. Use keywords from the job description to demonstrate that you understand what we’re looking for and how you fit into our team.
Be Clear and Concise: When articulating your ideas, keep it clear and to the point. We appreciate effective communication, especially when it comes to complex topics like quantitative trading and data analysis. Make it easy for us to see your thought process!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people and shows your enthusiasm for joining our team at StudySmarter!
How to prepare for a job interview at Deutsche Bank
✨Know Your Quantitative Stuff
Make sure you brush up on your knowledge of machine learning and quantitative trading strategies. Be ready to discuss your experience with Python and any relevant libraries like TensorFlow or PyTorch. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to implementing these techniques.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate how you approach problem-solving in a trading context. Think of specific examples where you've developed innovative solutions or optimised trading strategies. This role thrives on creativity, so don’t hold back on sharing your thought process!
✨Communicate Clearly
Since the team values clear communication, practice articulating your ideas concisely. You might be asked to explain complex concepts to non-technical team members, so being able to simplify your thoughts will be key. Consider doing mock interviews with friends to refine this skill.
✨Embrace Collaboration
This role involves working closely with sales and technologists, so highlight your teamwork experiences. Be prepared to discuss how you’ve collaborated in the past and how you can contribute to a friendly and open-minded team culture. Show them you’re not just a lone wolf!
