Quantitative Researcher (High-Frequency)
PROFILE
Exciting opportunitiy at a cutting-edge stealth start-up that is at the forefront of pioneering groundbreaking projects. Currently seeking a skilled Quantitative Researcher to join our dynamic Greenfield Project team. This role offers a highly rewarding experience, allowing you to actively contribute to innovative ventures and share in the firm's success through PnL or equity participation. Firms focus lies in leveraging machine learning and distributed computing techniques to develop scalable software solutions. Operating within a culture that values openness, teamwork, and transparency, they pride themselves on maintaining a flat and transparent structure.
RESPONSIBILITIES
- Collaborate with a dynamic team to conduct research, develop, and optimize quantitative trading strategies
- Develop sophisticated, data-driven trading models to enhance trading performance
- Conduct trading simulations to rigorously test and refine strategies within a risk-controlled environment
- Create tools that streamline the research iteration process, enhancing efficiency
- Write programs to automate the analysis of trading strategies, contributing to a more streamlined and effective workflow
- Participate in profit-sharing through PnL and/or equity ownership, aligning your success with the firm's success
- Lead the design, implementation, and deployment of high-frequency trading algorithms
- Explore innovative trading ideas by writing software to analyze market data and micro-structure for discernible patterns
- Seize opportunities for accelerated career progression and potential leadership roles in the future
QUALIFICATIONS
- Strong STEM background with a solid foundation for quantitative research
- Demonstrate programming proficiency in languages such as Python and C++, showcasing versatile technical skills
- Hands-on experience working within a 10-microsecond timeframe
- Demonstrate experience in trading futures, showcasing your familiarity with diverse financial instruments
- Exhibit strong analytical and problem-solving skills, essential for navigating complex challenges inherent in quantitative research
- Showcase a self-motivated and entrepreneurial mindset, fostering innovation and independent thinking
- Communicate effectively and collaborate seamlessly with a team, underlining excellent communication and teamwork abilities
- Leverage a minimum of two years of experience in developing high Sharpe, latency-sensitive, software-driven (non-FPGA) FHT strategies as a Quantitative Researcher
- Possess a robust background in mathematics and statistics, providing a solid foundation for quantitative analysis
- Comfortable applying machine learning techniques to financial datasets, adding a cutting-edge dimension to your skill set
- Ability to thrive in fast-paced environment
BENEFITS
- Equity participation in the firm's success
- Unique opportunity to play a pivotal role in shaping a greenfield project, contributing to its innovative development
- Benefit from hands-on trading experience facilitated by industry-leading high-frequency traders, gaining valuable insights and mentorship
- Rapid career progression opportunities, providing a clear path for professional growth within the organization.
- Option for remote or hybrid work to accommodate the preferences of the right candidate
- All meals covered
- Access to comprehensive health and dental insurance coverage
LocationNew York / Chicago
Salary$150,000 - $250,000 p/a
How to applyTo apply, please email your CV to info@quaxitas.com