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- Tasks: Join a front-office team to develop and monitor automated trading systems.
- Company: Deutsche Bank is a leading global bank with a strong commitment to diversity and inclusion.
- Benefits: Enjoy hybrid working, competitive salary, 30 days holiday, and private healthcare.
- Why this job: Contribute to cutting-edge research and enhance trading performance in a dynamic environment.
- Qualifications: Strong degree in a relevant field, knowledge of pricing models, and experience with Python or R.
- Other info: Flexible working options and a culture of continuous learning are key aspects of this role.
The predicted salary is between 43200 - 72000 £ per year.
Location: London
Corporate Title: Vice President
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.
Strats combine expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming. Their primary output is a scalable and flexible Front Office pricing and risk management system. The technology platform underlies the trading functions of the Bank as well as management processes around the rational allocation of constrained resources, management of funding costs and capital efficiency programs.
You will join the team with the responsibility of Corporate and Private Bank Strat. You will work within a front-office team responsible for idea generation, data analysis, modelling, development and monitoring of automated trading systems. You will work as an equal partner to trading and sales, ensuring Deutsche Bank remains commercially successful and our client franchise is served with a continuous, consistent and competitive offering. The initial product focus will be Interest Rates, an area where the firm can be regarded as market leading. To retain our edge, it is necessary to enhance and optimise our trading engine with intelligence and technological advancement. You will be contributing towards cutting-edge research that is implemented within production trading algorithms, receive real-time feedback from trading outcomes and continually iterate to improve performance.
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:
- Collaboration with Sales and trading to understand the needs of our client franchise and trading business.
- Work with a focus on research tasks using modern statistical techniques and ability to present results in a rigorous manner to justify the merits of research.
- Estimate the impact new techniques would have on trading performance.
- Work collaboratively with engineers to implement new functionality within the automated trading platform.
- Diligently monitor real-time trading performance to understand if models remain performant.
- Work in unison with internal functions to ensure the firms platform obeys internal and regulatory controls.
Your skills and experience:
- Excellence in an industry relevant degree.
- Knowledge of pricing and risk models for Macro products.
- Experience with a scripting language for example Python or R for research purposes.
- Experience of handling large amounts of data and application of statistical learning techniques.
- Experience with object-orientated programming tools for example C++ or Java advantageous, preference for experience with KDB/Q.
How we’ll support you:
- Flexible working to assist you balance your personal priorities.
- Coaching and support from experts in your team.
- A culture of continuous learning to aid progression.
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 in The Times Top 50 Employers for Gender Equality 2024 for five 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. 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.
Electronic Trading Rates Quant employer: Deutsche Bank
Contact Detail:
Deutsche Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Electronic Trading Rates Quant
✨Tip Number 1
Familiarise yourself with the latest trends in electronic trading and quantitative strategies, especially in interest rates. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the field of quantitative finance and trading. Attend industry events or webinars to connect with potential colleagues and learn more about the company culture at Deutsche Bank.
✨Tip Number 3
Brush up on your programming skills, particularly in Python or R, as well as object-oriented programming languages like C++ or Java. Being able to showcase your technical abilities can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience with statistical learning techniques and how you've applied them to real-world problems. Be ready to provide examples of how your work has positively impacted trading performance.
We think you need these skills to ace Electronic Trading Rates Quant
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Electronic Trading Rates Quant position. Familiarise yourself with the key skills mentioned in the job description, such as quantitative analytics, programming languages like Python or R, and experience with pricing and risk models.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your expertise in quantitative analysis, any experience with automated trading systems, and your proficiency in programming languages. Use specific examples to demonstrate your achievements in these areas.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and the company. Discuss how your background and skills make you a perfect fit for the Electronic Trading Rates Quant position. Mention your understanding of the trading environment and your eagerness to contribute to the team’s success.
Proofread and Edit: Before submitting your application, carefully proofread your CV and cover letter. Check for any spelling or grammatical errors, and ensure that your documents are clear and concise. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Deutsche Bank
✨Understand the Role
Make sure you have a solid grasp of what an Electronic Trading Rates Quant does. Familiarise yourself with quantitative analytics, pricing models, and risk management techniques relevant to interest rates. This will help you answer questions confidently and demonstrate your knowledge.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python or R, as well as any object-oriented programming tools such as C++ or Java. Highlight specific projects where you've applied these skills, especially in relation to automated trading systems or data analysis.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your analytical thinking and problem-solving abilities. Practice explaining your thought process clearly and logically, especially when discussing how you would estimate the impact of new techniques on trading performance.
✨Demonstrate Collaboration Skills
Since the role involves working closely with sales, trading, and engineering teams, be ready to provide examples of how you've successfully collaborated in the past. Emphasise your ability to communicate complex ideas effectively and work towards common goals.
