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- Tasks: Join a dynamic team to develop and implement cutting-edge quantitative models in global macro markets.
- Company: Work with a prestigious multi-platform Hedge Fund known for its innovative approach.
- Benefits: Collaborate with world-class experts and gain exposure to diverse asset classes.
- Why this job: This role offers a chance to impact trading strategies and enhance your quantitative skills.
- Qualifications: Ph.D. or Master's in a quantitative field; strong programming and analytical skills required.
- Other info: Anonymous application process available for those who want 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 join a newly created team within their business. In this dynamic and collaborative role, you will be responsible for developing and implementing cutting-edge quantitative models and strategies across global macro markets and asset classes. You will work closely with world-class researchers, portfolio managers, and technologists to identify and capitalize on inefficiencies in a wide range of asset classes, including equity indexes, fixed income, rates, commodities and FX. You will also help to systematise processes across teams, and build out the systematic infrastructure within the business.
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:
- Strong academic background: Ph.D. or Master's degree 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.
- Familiarity with financial markets and economic theory.
- Proven track record of developing and implementing successful quantitative trading strategies, preferably within a global macro context.
- 3-5 years’ experience in a high-performance trading environment, such as a hedge fund, proprietary trading firm, or investment bank.
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.
Systematic Macro Quantitative Researcher employer: Undisclosed
Contact Detail:
Undisclosed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Systematic Macro Quantitative Researcher
✨Tip Number 1
Make sure to stay updated on the latest trends in quantitative finance and macroeconomic research. Follow relevant publications, attend webinars, and engage with online communities to deepen your understanding of the field.
✨Tip Number 2
Network with professionals in the hedge fund industry. Attend industry conferences or local meetups to connect with researchers and portfolio managers who can provide insights into the role and potentially refer you.
✨Tip Number 3
Showcase your programming skills by working on personal projects or contributing to open-source initiatives. This will not only enhance your coding abilities but also demonstrate your commitment to developing systematic trading strategies.
✨Tip Number 4
Prepare for technical interviews by practicing quantitative problem-solving and data analysis questions. Familiarize yourself with common statistical techniques and machine learning algorithms that are relevant to macroeconomic modeling.
We think you need these skills to ace Systematic Macro Quantitative Researcher
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of a Systematic Macro Quantitative Researcher. Familiarize yourself with quantitative research, model implementation, and risk management in a trading context.
Tailor Your CV: Highlight your academic background, programming skills, and relevant experience in quantitative analysis and trading strategies. Make sure to emphasize any experience with Python, R, or similar languages, as well as your familiarity with financial markets.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative research and your understanding of macroeconomic relationships. Discuss specific projects or experiences that demonstrate your ability to develop and implement successful trading strategies.
Prepare for Technical Questions: Be ready to discuss your technical skills and past experiences in detail. Prepare to answer questions related to statistical analysis, econometrics, and machine learning techniques, as well as how you've applied these in a trading environment.
How to prepare for a job interview at Undisclosed
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience with quantitative research and strategy development. Highlight specific projects where you utilized statistical, econometric, or machine learning techniques to solve complex problems.
✨Demonstrate Data Analysis Proficiency
Discuss your experience with large datasets and data analysis tools. Be ready to explain how you've extracted predictive signals from macroeconomic indicators or alternative data sources in previous roles.
✨Collaborate Effectively
Since the role involves working closely with various teams, emphasize your collaborative skills. Share examples of how you've successfully partnered with technologists or portfolio managers to implement models and strategies.
✨Understand Risk Management
Prepare to talk about your approach to risk management. Discuss any experience you have in developing risk models and how you've assessed risks associated with trading strategies in a high-performance environment.
