Machine Learning Quant Researcher
1 month ago
Job Description: They are seeking both Senior and Junior Machine Learning Quantitative Researchers to join their dynamic team. As a member of their research group, you will collaborate closely with portfolio managers, data scientists, and technologists to develop and implement cutting-edge machine learning models and quantitative trading strategies.
Responsibilities:
- Research and Development: Conduct research to develop, refine, and implement machine learning models for alpha generation and risk management.
- Data Analysis: Analyze large datasets to identify patterns, correlations, and predictive signals relevant to financial markets.
- Model Implementation: Translate research prototypes into production-grade code that can be deployed in live trading environments.
- Collaboration: Work closely with portfolio managers to integrate quantitative research insights into investment strategies.
- Optimization: Continuously optimize and enhance existing models to improve performance and efficiency.
Qualifications:
For Senior Researchers:
- Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field.
- Proven track record of developing and deploying machine learning models in a financial or trading environment.
- Strong programming skills in languages such as Python, R, or C++.
- Deep understanding of financial markets and quantitative trading strategies.
- Leadership and mentorship experience is a plus.
For Junior Researchers:
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field.
- Some experience or coursework in machine learning and data analysis.
- Proficiency in programming languages such as Python, R, or MATLAB.
- Interest in financial markets and quantitative finance.
- Strong analytical and problem-solving skills.
Additional Skills:
- Experience with libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
- Excellent communication skills and ability to work effectively in a collaborative team environment.
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