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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 known for innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact in finance while working in a fast-paced, dynamic environment.
- Qualifications: Strong programming skills and a solid understanding of financial markets required.
- Other info: Collaborate with experts and stay ahead in quantitative finance and technology.
The predicted salary is between 36000 - 60000 £ 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 England 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 England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with alumni from your university. 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 interviews by brushing up on your technical skills and understanding of financial markets. Practice coding challenges and be ready to discuss your thought process when solving problems. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit 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 England
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills and experience with financial markets in your application. We want to see how you can translate your technical expertise into developing cutting-edge trading strategies.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Quantitative Developer role. Mention relevant projects or experiences that showcase your problem-solving abilities in high-performance environments.
Be Clear and Concise: When writing your application, keep it clear and concise. We appreciate straightforward communication, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people!
How to prepare for a job interview at H&P Executive Search
✨Know Your Code Inside Out
Make sure you’re well-versed in the programming languages mentioned in the job description, especially Python and C++. Be ready to discuss your past projects and how you optimised algorithms for low-latency performance. Practising coding challenges can also help you demonstrate your problem-solving skills.
✨Understand Financial Markets
Brush up on your knowledge of financial instruments and trading strategies. Familiarise yourself with concepts like statistical arbitrage and risk management principles. Being able to discuss these topics confidently will show that you’re not just a coder but also understand the financial context of your work.
✨Prepare for System Design Questions
Expect questions about system design, especially regarding high-performance and scalable systems. Think about how you would approach building a backtesting system or integrating large datasets. Having a clear methodology for tackling these problems will impress your interviewers.
✨Showcase Your Team Spirit
Since collaboration is key in this role, be prepared to share examples of how you’ve worked effectively in teams. Highlight your communication skills and how you’ve navigated technical challenges with both technical and non-technical stakeholders. This will demonstrate that you can thrive in a fast-paced environment.
