At a Glance
- Tasks: Build and maintain trading tools for equity volatility strategies in a collaborative environment.
- Company: Leading global hedge fund with a focus on innovation and teamwork.
- Benefits: Competitive salary, dynamic work culture, and opportunities for professional growth.
- Other info: Join a fast-paced team with exposure to cutting-edge technology and financial datasets.
- Why this job: Make a real impact by enhancing trading workflows and analytics in finance.
- Qualifications: Degree in a quantitative field and 5+ years in quantitative development.
The predicted salary is between 80000 - 100000 £ per year.
Attribution Search is partnered with a leading global hedge fund looking to hire a Quantitative Developer with experience building trading infrastructure for Equity Volatility strategies. This is an exciting opportunity to work closely with traders and quantitative researchers, building technology that supports systematic and discretionary equity volatility trading strategies across the full investment lifecycle. The role sits within a highly collaborative front-office environment and offers direct exposure to research, trading, and production systems.
Responsibilities
- Python quantitative developer responsible for building and maintaining tools supporting equity volatility and derivatives trading strategies
- Supporting all stages of the trading strategy lifecycle, including research, backtesting, production rollout, operational readiness testing, and ongoing optimisation
- Working closely with traders and quantitative researchers to enhance trading workflows, analytics, and infrastructure
- Developing and maintaining scalable data pipelines and quantitative tooling across large financial datasets
- Contributing to cloud-based and containerised research and production environments
- Collaborating across trading, technology, and quantitative teams to deliver robust and reliable solutions
Requirements
- Degree educated in a quantitative subject such as Mathematics, Computer Science, Physics, Engineering, or similar
- 5+ years’ experience within quantitative development or systematic trading environments
- Prior experience supporting equity volatility, equity derivatives, or options-based trading strategies
- Strong ability to communicate clearly with traders and business stakeholders
- Experience with Pandas and quantitative development libraries
- Commercial experience with at least one additional language such as C#, Java, or C++
- Strong relational database knowledge and experience working with large financial datasets
Nice to have
- Experience with Docker and containerised environments
- Familiarity with AWS and Kubernetes
- Exposure to messaging systems such as RabbitMQ or Kafka is desirable
- Strong attention to detail
- Effective communicator, including within highly technical discussions
- Ability to influence and collaborate across technology and trading teams
Candidates with relevant experience are encouraged to apply to learn more.
Quantitative Developer - Equity Volatility- Hedge Fund - London employer: Attribution Search
Attribution Search offers an exceptional work environment for a Quantitative Developer in London, where innovation meets collaboration. Employees benefit from a dynamic culture that encourages professional growth through direct engagement with traders and researchers, as well as access to cutting-edge technology in a fast-paced hedge fund setting. With a focus on equity volatility strategies, this role provides unique opportunities to contribute to impactful trading solutions while enjoying the vibrant atmosphere of one of the world's financial capitals.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer - Equity Volatility- Hedge Fund - London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups or webinars related to quantitative development and hedge funds. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to equity volatility or trading strategies. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and quantitative libraries. Practice coding challenges that focus on data manipulation and algorithm design. We want you to feel confident when discussing your experience with traders and researchers!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Quantitative Developer - Equity Volatility- Hedge Fund - London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Developer role. Highlight your experience with Python and any relevant trading strategies you've worked on. We want to see how your skills align with our needs!
Showcase Your Projects:Include specific projects or tools you've developed that relate to equity volatility or derivatives trading. This gives us a clear picture of your hands-on experience and problem-solving abilities.
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. Explain why you're interested in this role and how your background makes you a great fit. We appreciate straightforward communication!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Attribution Search
✨Know Your Tech Stack
Make sure you’re well-versed in Python and any other languages mentioned in the job description, like C# or Java. Brush up on your knowledge of Pandas and quantitative libraries, as you'll likely be asked to demonstrate your technical skills during the interview.
✨Understand the Trading Lifecycle
Familiarise yourself with the entire trading strategy lifecycle, from research to production rollout. Be prepared to discuss how you've contributed to each stage in your previous roles, especially in relation to equity volatility and derivatives trading strategies.
✨Communicate Clearly
Since this role involves collaboration with traders and quantitative researchers, practice explaining complex concepts in simple terms. You might be asked to describe past projects, so think about how you can convey your experience effectively to non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios or case studies related to trading infrastructure. Think about how you would approach optimising a trading strategy or developing a scalable data pipeline, and articulate your thought process clearly during the interview.
