About The Role
We are seeking an exceptionally talented individual to join our team as a Senior Quant Researcher focused on HFT. Your primary objective is to help develop and refine prediction signals and quantitative models.
Duties And Responsibilities
- Analyze various data sets to generate and monetize prediction signals and alpha.
- Work with the team to monitor performance of trading algorithms and optimize where necessary.
- Optimize and enhance existing models for maximum performance and profitability.
- Perform post-trade analysis as needed.
Experience And Skills - Advanced degree in quantitative fields such as data science, statistics, mathematics, computer science, physics or engineering
- Proven expertise in high frequency strategies
- Understanding of trading markets and market microstructure
- Advanced Python coding skills
- Experience with statistics and probability theory
- Proven expertise in high frequency strategies
- Strong experience in equities
- Be an upstream thinker, proactive problem preventer and creative solution-oriented multi-tasker
- Thrive in a fast-paced environment
- Ability to develop strong relationships, being always reliable and communicative to all parties
- Demonstrate poise under pressure with impeccable attention to detail
- Desired
- Experience in futures
- Experience with machine learning
AlphaQuest will not accept unsolicited resumes from agencies for this role or any others.
The base range for this role is expected to be between $200,000 and $260,000. This does not include other aspects of compensation such as discretionary bonus and a competitive comprehensive benefits package. Actual compensation offered to a candidate will vary within the range above depending on factors such as qualifications, education, and skill level.
By submitting the application, you are consenting to AlphaQuest using your mobile phone number for SMS messaging.
About The Firm
AlphaQuest is a research-driven, alternative asset management firm headquartered in New York City with $2.3 billion in assets under management, focused on delivering truly uncorrelated investment strategies at the intersection of mathematics, data science and investing. Founded in 2001 by chief investment officer Nigol Koulajian, the firm manages assets on behalf of some of the world’s largest institutional investors. Through our collaborative approach to research, our team combines our values – intellectual humility, transparent collaboration, rapid prototyping and knowledge continuity – to improve our understanding of Alpha and tail risk, in an effort to develop quantitative investment strategies that benefit from short-term expansions in volatility and crowding, as well as longer-term shifts in the market regime. We continue to research and further broaden the application of our 25+ years of experience in measuring and capturing breakouts and breakdowns across global markets – to other asset classes, factors, investment strategies, and time frames. This includes novel ways to source convexity within futures and FX, individual equities, alternative markets, and other well-established systematic investment strategies. This research evolution has taken place while remaining faithful to one of our founding principles of delivering strong absolute returns that exhibit positive skew (right-tails).
