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- Tasks: Develop and implement cutting-edge quantitative models for global macro futures markets.
- Company: Join a prestigious multi-platform Hedge Fund known for its innovative approach.
- Benefits: Enjoy a dynamic work environment with opportunities for collaboration and growth.
- Why this job: Be at the forefront of finance, using advanced techniques to shape trading strategies.
- Qualifications: 2-5 years in trading, advanced degree in a quantitative field, strong programming skills required.
- Other info: Anonymous application process available for those wanting to discuss before applying.
The predicted salary is between 43200 - 72000 £ per year.
Our client, a globally established and highly prestigious multi-platform Hedge Fund, are seeking a Systematic Macro Quant Researcher to work with a new Portfolio Manager within their Systematic business. In this dynamic and collaborative role, you will be responsible for developing and implementing cutting-edge quantitative models and strategies across global macro futures markets (excluding commodities).
Key Responsibilities:
- Quantitative Research & Strategy Development: Conduct rigorous quantitative research to identify market inefficiencies and develop systematic trading strategies. Utilize statistical, econometric, and machine learning techniques to model macroeconomic relationships and forecast asset prices.
- Data Analysis & Signal Generation: Analyse large and complex datasets, including macroeconomic indicators, market prices, and alternative data sources, to extract predictive signals. Employ advanced data science methodologies to enhance the robustness and accuracy of models.
- Model Implementation & Optimization: Collaborate with the technology and trading teams to build and implement quantitative infrastructure, models and strategies in a live trading environment. Continuously optimize and refine models to adapt to changing market conditions.
- Risk Management: Work closely with risk management teams to assess and manage the risks associated with trading strategies. Develop risk models that account for various market scenarios and stress conditions.
Requirements:
- 2-5 years’ experience in a high-performance trading environment, ideally on the buyside.
- Experience of developing and implementing successful quantitative trading strategies, preferably within macro futures markets.
- Advanced (Ph.D. or Master's) degree from a top-tier institution, in a quantitative discipline such as Economics, Finance, Mathematics, Statistics, Computer Science, or a related field.
- Strong programming skills in Python, R, or a similar language, and the ability to write clean code.
- Experience with statistical analysis, econometrics, and machine learning techniques.
- Proficiency in working with large datasets and data analysis tools.
Due to demand, we are advertising this role anonymously. If you would prefer to speak to someone before submitting a CV, please send a blank application to the role and someone will be in touch to discuss. We can only respond to highly qualified candidates.
Contact Detail:
eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Researcher - eFinancialCareers
✨Tip Number 1
Network with professionals in the quantitative finance field. Attend industry conferences, webinars, or local meetups to connect with people who work at hedge funds or in similar roles. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Stay updated on the latest trends in quantitative research and macroeconomic analysis. Follow relevant blogs, podcasts, and publications to understand what strategies are currently being implemented in the market. This knowledge can give you an edge during interviews.
✨Tip Number 3
Prepare to discuss your previous projects in detail. Be ready to explain the methodologies you used, the challenges you faced, and the outcomes of your work. This will demonstrate your hands-on experience and problem-solving skills, which are crucial for this role.
✨Tip Number 4
Familiarise yourself with the specific programming languages and tools mentioned in the job description, such as Python or R. Consider working on personal projects or contributing to open-source projects to showcase your coding skills and ability to handle large datasets.
We think you need these skills to ace Quant Researcher - eFinancialCareers
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Quant Researcher position. Familiarise yourself with the key skills needed, such as quantitative research, data analysis, and programming languages like Python or R.
Tailor Your CV: Customise your CV to highlight relevant experience in quantitative trading strategies and data analysis. Emphasise any specific projects or roles that demonstrate your ability to work with large datasets and implement models in a trading environment.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for quantitative research and your understanding of macroeconomic markets. Mention specific experiences that align with the job description and explain why you are a great fit for the role.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail, which is crucial in this field.
How to prepare for a job interview at eFinancialCareers
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience with quantitative research and strategy development. Highlight specific projects where you've successfully identified market inefficiencies or developed trading strategies, especially in macro futures markets.
✨Demonstrate Data Analysis Proficiency
Expect questions about your ability to analyse large datasets. Bring examples of how you've used statistical, econometric, or machine learning techniques to extract predictive signals from complex data.
✨Discuss Collaboration Experience
Since the role involves working closely with technology and trading teams, be ready to talk about your collaborative experiences. Share instances where you’ve worked with others to implement models or optimize trading strategies.
✨Prepare for Technical Questions
Brush up on your programming skills, particularly in Python or R. You may be asked to solve technical problems or write code during the interview, so practice coding challenges relevant to quantitative finance.
