At a Glance
- Tasks: Innovate and manage trading strategies in the dynamic world of foreign exchange.
- 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 quantitative trading and make a real impact in finance.
- Qualifications: Strong programming skills and experience in machine learning and quantitative research.
- Other info: Collaborative culture with continuous learning and diverse team environment.
The predicted salary is between 36000 - 60000 Β£ 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.
The FX Electronic Trading business operates at the frontier of quantitative algorithmic trading in the world's largest and most liquid market. We aim to provide best in class pricing and risk management for our clients by combining market expertise, cutting edge quant research and ultra-low latency technology.
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.
A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. Thatβs why we are committed to providing an environment with your development and wellbeing at its centre.
You can expect:
- 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 in London employer: Deutsche Bank
Contact Detail:
Deutsche Bank Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Foreign Exchange Quantitative Trader in London
β¨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 donβt be shy about reaching out on LinkedIn. You never know who might have the inside scoop on job openings!
β¨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.
β¨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 programming languages. Practise articulating your ideas clearly, as communication is key in a collaborative environment like trading.
β¨Tip Number 4
Donβt forget to apply through our website! Weβre always on the lookout for innovative thinkers who can push the boundaries of trading. Keep an eye on our job listings and make sure your application stands out by highlighting your unique skills and experiences.
We think you need these skills to ace Foreign Exchange Quantitative Trader in London
Some tips for your application π«‘
Show Your Quantitative Skills: Make sure to highlight your experience with quantitative research and data analysis in your application. We want to see how you've used these skills in real-world scenarios, especially in relation to machine learning and programming.
Tailor Your Application: Donβt just send a generic CV and cover letter! Tailor your application to reflect the specific requirements of the Foreign Exchange Quantitative Trader role. Mention relevant projects or experiences that align with our focus on innovation and trading strategies.
Be Clear and Concise: When articulating your ideas in your written application, keep it clear and concise. We appreciate straightforward communication, so make sure your points are easy to understand and directly related to the role.
Apply Through Our Website: We encourage you to apply through our website for the best chance of success. Itβs the easiest way for us to track your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Deutsche Bank
β¨Know Your Quantitative Stuff
Make sure you brush up on your quantitative trading knowledge, especially around machine learning and algorithmic strategies. Be ready to discuss your experience with Python and any relevant libraries like TensorFlow or PyTorch. Theyβll want to see that you can not only talk the talk but also walk the walk!
β¨Showcase Your Innovative Thinking
Prepare to share examples of how you've generated innovative ideas in past roles. Think about specific projects where you pushed boundaries or developed new strategies. This role thrives on creativity, so donβt hold back on showcasing your unique approach to problem-solving.
β¨Communicate Clearly and Confidently
Since the team values clear communication, practice articulating your thoughts concisely. You might be asked to explain complex concepts to non-technical team members, so being able to simplify your ideas will be key. Consider doing mock interviews to refine this skill.
β¨Emphasise Team Collaboration
This role involves working closely with sales and technologists, so highlight your teamwork experiences. Share stories that demonstrate your ability to collaborate effectively and how youβve contributed to a positive team environment. Theyβre looking for someone who fits into their friendly and open-minded culture!