Quantitative Researcher
6 days ago
We are seeking a highly skilled Quantitative Researcher to join our team at Undisclosed. As a key member of our research team, you will be responsible for developing and implementing cutting-edge quantitative models and strategies across global macro markets and asset classes.
This is an exciting opportunity for an experienced researcher to leverage their skills in statistical analysis, econometrics, and machine learning techniques to drive business growth and success.
Key Responsibilities:
- 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: Analyze 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.
- 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.
- Data Analysis & Signal Generation: Analyze 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.
Requirements:
- A 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: Python, R, or a similar language, and the ability to write clean code.
- Experience with statistical analysis: Econometrics, machine learning techniques, and working with large datasets.
- Familiarity with financial markets: Economic theory, financial instruments, and trading strategies.
- Proven track record: Developing and implementing successful quantitative trading strategies, preferably within a global macro context.
- Familiarity with financial markets: Economic theory, financial instruments, and trading strategies.
- Experience with statistical analysis: Econometrics, machine learning techniques, and working with large datasets.
- Strong programming skills: Python, R, or a similar language, and the ability to write clean code.
This role requires a high level of technical expertise and the ability to work effectively in a fast-paced trading environment.
The estimated salary for this position is $120,000 - $180,000 per year, depending on experience.
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