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Quantitative Researcher
C2R Ventures • New York, NY 10261 • Posted 2 days ago via LinkedIn
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In-person • Full-time • Senior Level
Job Highlights
Using AI ⚡ to summarize the original job post
A Senior Quantitative Researcher is sought by a Quant Trading firm to develop new and improve existing equities trading strategies. The role involves analyzing terabytes of raw tick data, identifying predictive market signals, and implementing them into new trading strategies. Hands-on data analysis expertise in Python, R, or Julia, advanced statistical analysis skills, and experience with high-volume, high-dimensional data modeling are required. Some C++ experience and knowledge in Machine Learning, Pandas, Scikit-Learn, and Numpy are also desirable.
Responsibilities
- Develop new and improve existing equities trading strategies.
- Analyze terabytes of raw tick data.
- Identify predictive market signals.
- Implement identified signals into new trading strategies.
Qualifications
Required
- Hands-on data analysis expertise in Python, R, or Julia.
- Advanced statistical analysis skills.
- Experience with high-volume, high-dimensional data modeling.
- Some C++ experience.
- Experience in Machine Learning, Pandas, Scikit-Learn, and Numpy.
- MS or PhD in STEM field.
- At least 2 years of work experience outside of school (Recent grads (2023 and 2024) will not be considered).
- Financial industry experience (Equities and/or Options). Buy side preferred.
About C2R Ventures
C2R Ventures is a Talent Advisory Collective operating in the Technology, Financial, FinTech, Blockchain, and Management Consulting sectors. They prioritize strong relationships with clients and candidates to connect exceptional professionals with businesses that rely on Mathematics and Technology. Located in New York, they offer innovative recruitment solutions to match the right candidates with the right organizations.
Full Job Description
Quant Trading firm is looking for a Senior Quantitative Researcher to develop new and improve existing equities trading strategies.
You will analyze terabytes of raw tick data, identify predictive market signals, and implement them into new trading strategies.
Hands-on data analysis expertise in Python required. R or Julia, advanced statistical analysis skills and experience with high-volume, high-dimensional data modeling are required.
Should also have some C++ experience; experience in Machine Learning, Pandas, Scikit-Learn and Numpy a plus.
MS or PhD in STEM field and at least 2 years of work experience outside of school (Recent grads (2023 and 2024 will not be considered).
Financial industry experience (Equities and/or Options) required. Buy side preferred.
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