At a Glance
- Tasks: Join us as a Junior Quantitative Researcher, designing trading strategies and analysing market data.
- Company: We're a cutting-edge firm in London, specialising in high-frequency trading across various platforms.
- Benefits: Enjoy hybrid work options, competitive salary, and the chance to work with innovative technologies.
- Other info: Collaborate with traders and developers to shape the future of algorithmic trading.
- Why this job: Dive into a dynamic environment where your coding skills can directly impact trading success.
- Qualifications: A quantitative degree and advanced Python skills are essential; experience in statistics is a plus.
The predicted salary is between 36000 - 60000 £ per year.
Quantitative Researcher – Single Name Credit (Semi-Systematic)
Location: London – On-site
Experience level (ideally): 2-4 years' experience
Candidate background: Open to hedge fund, investment bank or proprietary trading backgrounds
A leading global fund is looking to hire a Quantitative Researcher to join its trading team in London, focusing on semi-systematic research and signal development in single-name credit markets.
This role sits alongside Portfolio Managers and analysts, helping to develop quantitative signals, build research infrastructure, and contribute directly to investment decisions.
Role
- Develop quantitative signals and trading strategies focused on single-name credit.
- Contribute to building a shared research platform for semi-systematic investment models.
- Analyse large datasets to identify trends, inefficiencies and trading opportunities in credit markets.
- Work closely with PMs, analysts and risk teams to integrate models into the investment process.
- Contribute to trade structuring, execution insights and portfolio positioning.
Requirements
- 2 - 4 years’ experience in a quantitative research or front‑office trading environment.
- Direct experience working with single‑name credit products is required.
- Strong Python skills, particularly with libraries such as Pandas and NumPy.
- Experience developing quantitative signals, models or research tools.
- Background in a hedge fund, investment bank or proprietary trading environment is preferred.
Quantitative Researcher employer: DURLSTON PARTNERS
Join a leading conversational AI platform that is not only redefining customer experience but also fostering a high-trust work environment where your technical decisions matter. With a focus on innovation and excellence, this in-office role offers you the chance to collaborate with top-tier talent, engage in meaningful projects, and enjoy ample opportunities for professional growth in a fast-paced setting. Experience the unique advantage of working at the forefront of AI technology, contributing to solutions that impact millions.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance, especially in high-frequency trading (HFT). Understanding current market dynamics and technologies like CeFi and DeFi will give you an edge during interviews.
✨Tip Number 2
Brush up on your Python skills by working on relevant projects or contributing to open-source repositories. Demonstrating your coding abilities through practical examples can significantly impress our hiring team.
✨Tip Number 3
Engage with online communities or forums related to quantitative research and trading. Networking with professionals in the field can provide insights and potentially lead to referrals, increasing your chances of landing the job.
✨Tip Number 4
Prepare to discuss your approach to statistical analysis and backtesting during the interview. Being able to articulate your thought process and methodologies will showcase your expertise and problem-solving skills.
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 any relevant projects or experiences that demonstrate your ability to design and implement trading strategies.
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 the responsibilities outlined in the job description.
Showcase Relevant Projects:If you have worked on any projects related to quantitative research or algorithmic trading, be sure to include them in your application. Describe your role, the tools you used, and the outcomes of your work.
Highlight Team Collaboration:Since the role involves working with researchers, traders, and developers, emphasise your teamwork skills. Provide examples of how you have successfully collaborated in past roles or projects to achieve common goals.
How to prepare for a job interview at DURLSTON PARTNERS
✨Showcase Your Coding Skills
Since the role requires advanced Python coding skills, be prepared to discuss your previous projects and demonstrate your coding abilities. Consider bringing examples of your work or even a small coding challenge to showcase your problem-solving skills.
✨Understand Market Microstructure
Familiarise yourself with market microstructure concepts and be ready to discuss how they relate to trading strategies. This knowledge will show your potential employer that you can proactively identify trading opportunities and understand the nuances of different markets.
✨Discuss Statistical Techniques
Be prepared to talk about the statistical techniques you've used in past projects. Highlight your experience with back testing and how you've applied these techniques to improve trading signals. This will demonstrate your analytical skills and understanding of quantitative research.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's trading strategies, technologies used, and team dynamics. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
