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- Tasks: Join a dynamic team to develop automated trading strategies and analyze market inefficiencies.
- Company: A leading quantitative hedge fund with over a decade of successful trading experience.
- Benefits: Work in a cutting-edge environment with global offices and opportunities for growth.
- Why this job: Be part of an interdisciplinary team at the forefront of trading, modeling, and technology.
- Qualifications: Strong quantitative background in Mathematics, Statistics, Financial Engineering, or related fields required.
- Other info: Ideal for recent graduates or those with internship experience in Quant Finance.
The predicted salary is between 36000 - 60000 £ per year.
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This range is provided by Anson McCade. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
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Senior Recruitment Consultant at Anson McCade – Specialising in Quant Finance Opportunities
My client, a leading global hedge fund with a strong track record in systematic investing, is looking to hire a Quantitative Researcher to join their London-based team. This is a unique opportunity to work on cutting-edge systematic equities strategies within a collaborative and research-driven environment.
The ideal candidate will bring a solid technical foundation and prior experience in the quantitative finance space, whether from another hedge fund, proprietary trading firm, or a front-office role in investment banking. A strong background in statistical arbitrage is essential, and exposure to machine learning techniques is a strong bonus.
Key Responsibilities
- Conduct research and development of alpha-generating systematic equities strategies, with a focus on statistical arbitrage.
- Analyze large, complex datasets to uncover new trading signals and improve existing models.
- Apply machine learning methods to improve predictive power and ensure robustness of strategies.
- Perform rigorous backtesting and optimization using a Python-based infrastructure.
- Collaborate closely with portfolio managers, data scientists, and technologists to deploy strategies into production.
Candidate Profile
- Prior experience (3+ years) in a quantitative research or trading role at a hedge fund, prop trading firm, or investment bank (front office).
- Advanced degree in a quantitative field such as Mathematics, Computer Science, Physics, Engineering, or Statistics.
- Deep understanding of systematic equity investing and statistical arbitrage frameworks.
- Proficient in Python for research and prototyping – experience with ML libraries (e.g., scikit-learn, TensorFlow, XGBoost) is a strong plus.
- Strong mathematical and statistical skills, with a keen eye for detail and performance optimization.
- Comfortable working independently and as part of a dynamic, fast-paced team.
What’s on Offer
- Opportunity to join a high-calibre team at a prestigious global hedge fund.
- Exposure to leading-edge research, infrastructure, and proprietary data.
- Competitive compensation package with strong performance incentives.
- A culture that values innovation, autonomy, and continuous learning.
Seniority level
-
Seniority level
Associate
Employment type
-
Employment type
Full-time
Job function
-
Job function
Finance
-
Industries
Financial Services and Capital Markets
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Quantitative Researcher employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Make sure to showcase your quantitative skills during the interview. Be prepared to discuss specific projects or coursework that highlight your expertise in Mathematics, Statistics, or Computer Science.
✨Tip Number 2
Familiarize yourself with the latest trends in quantitative finance and automated trading strategies. Being able to discuss current market inefficiencies and how they can be exploited will set you apart from other candidates.
✨Tip Number 3
Network with professionals in the quantitative finance space. Attend industry conferences or meetups to connect with people who work at hedge funds or in quantitative research roles.
✨Tip Number 4
Demonstrate your programming skills, especially in languages commonly used in quantitative research like Python or R. Be ready to solve coding challenges or discuss algorithms during the interview process.
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Highlight Your Quantitative Skills: Make sure to emphasize your strong quantitative background in your CV and cover letter. Mention specific degrees, relevant coursework, and any projects that showcase your skills in Mathematics, Statistics, Financial Engineering, Computer Science, or Physics.
Showcase Relevant Experience: If you have experience in a Quant Finance environment, whether through internships or full-time roles, be sure to detail this in your application. Describe the projects you worked on, the tools you used, and the impact of your contributions.
Demonstrate Interdisciplinary Knowledge: Since the role operates at the intersection of trading, quantitative modeling, and technology, highlight any interdisciplinary knowledge or experience you have. This could include programming languages, statistical software, or trading platforms you are familiar with.
Tailor Your Application: Customize your CV and cover letter for this specific role. Use keywords from the job description and align your experiences with the responsibilities and qualifications mentioned. This shows that you understand the position and are genuinely interested.
How to prepare for a job interview at Anson McCade
✨Showcase Your Quantitative Skills
Be prepared to discuss your quantitative background in detail. Highlight any relevant coursework, projects, or internships that demonstrate your proficiency in mathematics, statistics, or programming. This is your chance to impress them with your technical knowledge!
✨Understand the Firm's Trading Strategies
Research the firm's trading strategies and be ready to discuss how they capture market inefficiencies. Familiarize yourself with concepts like arbitrage and statistical modeling, as this will show your genuine interest in their work and your ability to contribute.
✨Prepare for Technical Questions
Expect technical questions related to quantitative finance, algorithms, and data analysis. Brush up on your coding skills and be ready to solve problems on the spot. Practicing with common quantitative interview questions can give you a significant edge.
✨Demonstrate Interdisciplinary Knowledge
Since the role is highly interdisciplinary, be prepared to discuss how your background in fields like computer science or physics complements your quantitative skills. Show them that you can bridge the gap between trading, modeling, and technology effectively.
