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For Companies At a Glance
- Tasks: Develop and optimise algorithmic trading strategies with cutting-edge technology.
- Company: Join a leading systematic multi-strategy hedge fund with a dynamic culture.
- Benefits: Competitive salary, full-time role, and opportunities for professional growth.
- Why this job: Make an impact in finance by solving complex problems in a fast-paced environment.
- Qualifications: Strong programming skills and understanding of financial markets required.
- Other info: Collaborate with experts and stay ahead in quantitative finance and technology.
The predicted salary is between 48000 - 72000 £ per year.
We are seeking a talented Quantitative Developer to join our client at a leading systematic multi‑strategy hedge fund. This individual will work closely with quantitative researchers, data scientists, and portfolio managers to develop, optimize, and deploy cutting‑edge algorithmic trading strategies. The ideal candidate will have strong programming skills, a solid understanding of financial markets, and a passion for problem‑solving in a high‑performance, fast‑paced environment.
Key Responsibilities
- Algorithm Development & Optimization: Collaborate with quantitative researchers to translate trading strategies into efficient, scalable, and low‑latency code. Continuously optimize the execution and performance of the trading algorithms across different asset classes. Design and implement scalable, maintainable systems for backtesting, real‑time data processing, and execution. Ensure the robustness and efficiency of these systems in a production environment.
- Data Integration & Management: Develop and maintain systems for acquiring, cleaning, and storing large datasets (e.g., market data, financial statements, alternative data sources). Work with data scientists to ensure the seamless integration of data into trading models.
- Risk Management and Compliance: Ensure the implementation of risk management protocols, including monitoring and reporting. Collaborate with the risk team to ensure compliance with the fund’s risk limits and regulatory requirements. Work closely with quantitative researchers, portfolio managers, and other developers to understand strategy requirements, communicate technical challenges, and ensure the smooth deployment of models into live trading.
- Performance Monitoring & Troubleshooting: Monitor and troubleshoot trading systems in real‑time, resolving issues related to latency, system failures, and other disruptions. Provide on‑call support for live trading operations.
- Research & Development: Stay up‑to‑date with the latest advancements in quantitative finance, machine learning, and financial technologies. Contribute to the development of new tools and libraries that enhance the trading platform.
Key Skills & Qualifications
- Programming Skills: Proficiency in Python, C++, Java, or similar programming languages. Strong experience in software development for financial markets, with an emphasis on low‑latency, high‑performance systems.
- Quantitative Finance Expertise: Understanding of financial instruments, trading strategies (including systematic, statistical arbitrage, and machine learning), and risk management principles.
- Experience in System Design: Proven track record of building high‑performance, scalable systems for financial applications, with experience in distributed computing, parallel processing, and cloud infrastructure (AWS, Azure, etc.).
- Mathematics & Statistics: Strong foundation in probability, statistics, linear algebra, and optimization methods. Familiarity with financial modeling techniques such as time series analysis, stochastic calculus, and Monte Carlo simulations.
- Data Management: Expertise in handling large‑scale, unstructured datasets. Experience with databases (SQL, NoSQL), data pipelines, and data storage solutions. Knowledge of big data technologies (Hadoop, Spark) is a plus.
- Understanding of Trading Infrastructure: Familiarity with order execution protocols, FIX protocol, market connectivity, and real‑time trading infrastructure. Knowledge of latency‑sensitive systems and optimization is highly desirable.
- Problem‑Solving & Critical Thinking: Strong analytical and problem‑solving skills, with the ability to think creatively in fast‑paced environments. Ability to identify and fix bugs, optimize code, and scale systems under tight time constraints.
Educational Background: Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Engineering, Physics, Financial Engineering, or a related field.
Preferred Qualifications:
- Experience working in hedge funds, proprietary trading firms, or financial technology companies.
- Familiarity with machine learning algorithms and their application to financial markets.
- Experience with low‑latency trading systems, high‑frequency trading (HFT), or market‑making strategies.
- Exposure to cloud infrastructure (AWS, GCP) and containerization (Docker, Kubernetes).
- Knowledge of multi‑strategy hedge fund models and portfolio optimization.
Personal Attributes:
- Strong team player with the ability to collaborate in a high‑pressure, fast‑moving environment.
- Self‑motivated with a passion for finance, technology, and quantitative research.
- Excellent communication skills to interact effectively with both technical and non‑technical stakeholders.
- A high level of attention to detail and a focus on delivering reliable, high‑quality code.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Finance
Quantitative Developer in London employer: H&P Executive Search
Contact Detail:
H&P Executive Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to algorithmic trading or quantitative finance. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by practicing coding challenges and understanding financial concepts. Brush up on your Python, C++, or Java skills, and be ready to discuss your thought process during problem-solving.
✨Tip Number 4
Apply through our website! We’ve got a range of opportunities that could be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Quantitative Developer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your programming skills and experience in quantitative finance. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about algorithmic trading and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in high-pressure situations. We’re looking for candidates who can think on their feet and come up with innovative solutions, so let us know how you’ve done this before!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our awesome team at StudySmarter!
How to prepare for a job interview at H&P Executive Search
✨Know Your Code
Make sure you brush up on your programming skills, especially in Python, C++, or Java. Be prepared to discuss your past projects and how you've optimised code for low-latency systems. They’ll want to see your problem-solving skills in action!
✨Understand the Market
Familiarise yourself with financial instruments and trading strategies. You should be able to explain how different strategies work and their implications on risk management. Showing that you can connect your technical skills with market knowledge will set you apart.
✨Showcase Your Systems Design Experience
Be ready to talk about your experience in building scalable systems. Discuss any projects where you’ve implemented distributed computing or cloud infrastructure. Highlighting your ability to design robust systems will demonstrate your fit for the role.
✨Communicate Effectively
Practice explaining complex technical concepts in simple terms. You’ll need to collaborate with both technical and non-technical stakeholders, so showcasing your communication skills during the interview is crucial. Make sure you can articulate your thoughts clearly!
