Lead Quant Researcher: High-Frequency Alpha Strategist

C2R Ventures; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

C2R Ventures is seeking a Lead Quant Researcher in New York, NY, focusing on high-frequency alpha research and trading strategy management. The successful candidate will have over 5 years of quantitative finance experience, ideally in proprietary trading or hedge funds. Responsibilities include designing models, managing execution strategies, and communicating key updates regularly. Expertise in Python and knowledge of lower-level programming are essential, while experience in machine learning is advantageous.

Qualifications

• 5+ years of quantitative finance experience, ideally at a proprietary trading firm or hedge fund.
• 2+ years of alpha research experience working with L3 tick data.
• 2+ years of high-frequency trading strategy design experience.
• Proficiency in Python and Linux environments.

Responsibilities

• Research and develop strategies to improve global trading using high-frequency techniques.
• Design, implement, and deploy tick-data features and machine learning models.
• Manage production deployments of high-frequency execution algorithms.
• Communicate updates to research leadership and business management.

Skills

Quantitative finance experience

Alpha research experience

High frequency trading strategy

Python expertise

Machine learning techniques

Low-level programming languages

Tools

Linux

Java

C++

Job description

C2R Ventures is seeking a Lead Quant Researcher in New York, NY, focusing on high-frequency alpha research and trading strategy management. The successful candidate will have over 5 years of quantitative finance experience, ideally in proprietary trading or hedge funds. Responsibilities include designing models, managing execution strategies, and communicating key updates regularly. Expertise in Python and knowledge of lower-level programming are essential, while experience in machine learning is advantageous.