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.
- 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.
- 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.
Quantitative Researcher in London employer: Anson McCade
Join a prestigious global hedge fund in London, where innovation and collaboration drive success. As a Quantitative Researcher, you'll have the opportunity to work with cutting-edge technology and proprietary data, while enjoying a competitive compensation package and a culture that fosters continuous learning and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Anson McCade!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Quantitative Researcher at Anson McCade.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Anson McCade.
✨Apply Directly through Our Website
When you find a suitable opening like Quantitative Researcher at Anson McCade, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Anson McCade, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Anson McCade. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Anson McCade
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Anson McCade!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
