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- Tasks: Join a dynamic team to analyse data and develop 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: Be part of cutting-edge research that directly impacts trading performance and client success.
- Qualifications: A relevant degree, knowledge of pricing models, and experience with Python or R are essential.
- Other info: Flexible working and continuous learning opportunities to support your personal and professional growth.
The predicted salary is between 72000 - 108000 £ 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.
Quantitative Strategist - Kannon Franchise Pricing Strategic Analytics employer: Deutsche Bank
Contact Detail:
Deutsche Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Strategist - Kannon Franchise Pricing Strategic Analytics
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative analytics and pricing models, especially for Macro products. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the finance and trading sectors, particularly those who work with automated trading systems. Attend industry events or webinars to make connections that could lead to referrals or insider information about the role.
✨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 demonstrate your technical proficiency can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss real-time trading performance and how statistical learning techniques can enhance trading strategies. Having concrete examples or case studies ready can showcase your analytical thinking and problem-solving abilities.
We think you need these skills to ace Quantitative Strategist - Kannon Franchise Pricing Strategic Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative analytics, modelling, and risk management. Emphasise any specific projects or roles that align with the responsibilities of a Quantitative Strategist.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills in statistical techniques and programming languages like Python or R can contribute to the team’s success.
Showcase Relevant Skills: Clearly outline your proficiency in handling large datasets and applying statistical learning techniques. Mention any experience with object-oriented programming tools, especially if you have worked with KDB/Q.
Prepare for Technical Questions: Anticipate technical questions related to pricing and risk models for Macro products. Be ready to discuss your approach to data analysis and how you would estimate the impact of new techniques on trading performance.
How to prepare for a job interview at Deutsche Bank
✨Showcase Your Quantitative Skills
Make sure to highlight your expertise in quantitative analytics and modelling during the interview. Be prepared to discuss specific projects where you've applied statistical techniques or developed pricing models, as this will demonstrate your capability to contribute effectively to the team.
✨Familiarise Yourself with Trading Systems
Since the role involves working with automated trading systems, it's crucial to have a solid understanding of how these systems operate. Brush up on your knowledge of trading platforms and be ready to discuss how you can enhance their performance through your analytical skills.
✨Prepare for Technical Questions
Expect technical questions related to programming languages like Python or R, as well as object-oriented programming tools such as C++ or Java. Practise coding problems and be ready to explain your thought process clearly, as this will showcase your problem-solving abilities.
✨Demonstrate Collaboration Skills
The role requires collaboration with sales and trading teams, so be prepared to discuss your experience working in cross-functional teams. Share examples of how you've successfully communicated complex ideas to non-technical stakeholders, as this will highlight your ability to work effectively within a team.
