
Research Scientist
2 days ago
The role involves designing and implementing statistical models and machine learning frameworks to drive investment decisions. The researcher will work with data to develop alpha-generating signals through in-depth research and analysis.
Key Responsibilities:
- Develop advanced statistical models and machine learning frameworks to generate high-quality investment ideas.
- Conduct in-depth market analysis to identify opportunities and threats.
Required Skills and Qualifications:
- A minimum of 2 years of experience in quantitative research, preferably with a strong background in mathematics or physics.
- Advanced degree in a quantitative field (PhD/Masters) is highly desirable.
- Demonstrated expertise in programming languages such as Python or R, with a proven track record of producing impactful research.
Benefits:
- Opportunities to work on a variety of strategies, including High-Frequency Trading, Market Making, Systematic Trading, and Cryptocurrency.
- Access to a network of top systematic firms, including boutique quant shops and multi-billion systematic funds.
- Competitive compensation package based on experience.
About the Role:
- Fionics Network offers a diverse range of roles, from pure research positions to trader-researcher hybrids.
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