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- Tasks: Design and implement predictive trading models using Python.
- Company: Join a cutting-edge firm in the heart of London, specialising in high-frequency trading.
- Benefits: Enjoy hybrid work options and collaborate with top-tier professionals.
- Why this job: Be at the forefront of trading technology and make a real impact in the financial markets.
- Qualifications: A quantitative degree in Maths, Stats, or Computer Science is essential; advanced Python skills required.
- Other info: Work with diverse technologies across CeFi and DeFi trading platforms.
The predicted salary is between 43200 - 72000 £ per year.
Quant Trader/Researcher (Systematic or Positional Strategies) – Global Market Maker – Open PackageLocationsGlobal (APAC preferred) – open to APAC relocation is advantageous
SalaryWilling to pay for the right candidates
A leading global MM is expanding its Options function and is looking for talented professionals to drive the next phase of growth. We are seeking candidates with experience in systematic, quantitative options trading or in positional / market-taking strategies.
What you\’ll do
For systematic candidates: design, develop, and refine automated trading strategies and execution models, applying quantitative techniques and data-driven insights
For positional candidates: actively manage option positions, making real-time trading decisions to capture market opportunities
Collaborate with trading, research, and technology teams to optimise strategies, execution, and risk management
Who you are
2+ years of options trading experience, either in systematic/quantitative strategies or positional/market-taking strategies
BS, MS, or PhD in a quantitative or technical field
Strong analytical skills, with a track record of applying them to trading problems
Proficient in programming (Python, C++, or similar) if applying for systematic roles
Collaborative team player, comfortable working across trading and technology teams
What you\’ll get
Work with talented professionals from all over the globe in a high-performing, collaborative environment
Competitive compensation with performance-based bonuses and profit-sharing
Comprehensive health, dental, vision, mental health, disability, and life coverage
This is a unique opportunity to join a high-performing team and contribute to either systematic or discretionary options trading strategies across global markets. APAC-based candidates are encouraged to apply.
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Quantitative Researcher employer: Durlston Partners
Contact Detail:
Durlston Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative trading and market making. Understanding the current landscape will help you engage in meaningful conversations during interviews and demonstrate your passion for the field.
✨Tip Number 2
Brush up on your Python skills, especially in relation to statistical modelling and data analysis. Consider working on personal projects or contributing to open-source projects that showcase your coding abilities and understanding of quantitative methods.
✨Tip Number 3
Network with professionals in the quantitative finance space. Attend industry meetups, webinars, or conferences to connect with others who can provide insights into the role and potentially refer you to opportunities at StudySmarter.
✨Tip Number 4
Prepare to discuss your approach to problem-solving and how you would tackle specific challenges in quantitative research. Being able to articulate your thought process and methodologies will set you apart from other candidates.
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative skills, particularly in Python and statistics. Include relevant projects or experiences that demonstrate your ability to design and implement trading models.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific technologies and trading products you are familiar with, and how your background aligns with their needs.
Showcase Relevant Projects: If you have worked on any quantitative research projects or developed trading strategies, include these in your application. Provide details about the methodologies used and the outcomes achieved.
Highlight Team Collaboration: Since the role involves working with researchers, traders, and developers, emphasise your teamwork skills. Share examples of how you've successfully collaborated in past roles to achieve common goals.
How to prepare for a job interview at Durlston Partners
✨Showcase Your Coding Skills
Since the role requires strong Python coding skills, be prepared to discuss your previous projects and demonstrate your coding abilities. Consider bringing examples of your work or even be ready for a live coding challenge.
✨Understand Market Microstructure
Familiarise yourself with market microstructure concepts and be ready to discuss how they relate to trading strategies. This knowledge will show that you can proactively identify trading opportunities, which is crucial for the role.
✨Discuss Statistical Techniques
Be prepared to talk about the statistical techniques you've used in past projects. Highlight any experience with back testing and how you've applied these techniques to improve trading signals.
✨Collaborative Mindset
The role involves working closely with researchers, traders, and developers. Emphasise your teamwork skills and provide examples of how you've successfully collaborated on projects in the past.
