Quant Researcher
We are seeking a highly analytical and intellectually curious Quantitative Researcher to join our dynamic and fast-paced team. As a Quant Researcher, you will play a critical role in developing and enhancing systematic trading strategies, conducting rigorous data analysis, and contributing to the firm's alpha generation efforts. This role is ideal for individuals who are passionate about quantitative finance, statistical modeling, and working with large datasets to uncover actionable insights.
Key Responsibilities:
- Design, develop, and implement quantitative models and trading strategies across various asset classes.
- Conduct in-depth research and statistical analysis on large and complex financial datasets.
- Backtest and validate strategies using historical data to ensure robustness and performance.
- Collaborate with portfolio managers, data engineers, and software developers to integrate research into production systems.
- Continuously monitor and refine models based on market behavior and performance metrics.
- Explore and incorporate alternative data sources to enhance predictive power and alpha generation.
Required Qualifications:
- Master's or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Engineering, or Financial Engineering.
- Strong programming skills in Python, R, or C++ for data analysis and model development.
- Solid understanding of statistical methods, machine learning techniques, and time-series analysis.
- Experience working with financial data, including equities, derivatives, or fixed income instruments.
- Familiarity with backtesting frameworks and data visualization tools.
- Excellent problem-solving skills and the ability to think critically and independently.
- Strong communication skills, both written and verbal, with the ability to explain complex concepts to non-technical stakeholders.
Preferred Qualifications:
- Prior experience in a quantitative research or trading role at a hedge fund, investment bank, or proprietary trading firm.
- Knowledge of market microstructure and execution algorithms.
- Experience with SQL and working with large-scale databases.
- Exposure to cloud computing platforms and distributed computing environments.
- Familiarity with alternative data sources and data acquisition techniques.
FAQs
Congratulations, we understand that taking the time to apply is a big step. When you apply, your details go directly to the consultant who is sourcing talent. Due to demand, we may not get back to all applicants that have applied. However, we always keep your CV and details on file so when we see similar roles or see skillsets that drive growth in organisations, we will always reach out to discuss opportunities.
Yes. Even if this role isn’t a perfect match, applying allows us to understand your expertise and ambitions, ensuring you're on our radar for the right opportunity when it arises.
We also work in several ways, firstly we advertise our roles available on our site, however, often due to confidentiality we may not post all. We also work with clients who are more focused on skills and understanding what is required to future-proof their business.Â
That's why we recommend registering your CV so you can be considered for roles that have yet to be created.Â
Yes, we help with CV and interview preparation. From customised support on how to optimise your CV to interview preparation and compensation negotiations, we advocate for you throughout your next career move.