Senior Equity Quant Researcher - New York - AlphaQuest

    AlphaQuest
    AlphaQuest New York

    1 week ago

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    Description
    About the Role

    AlphaQuest is seeking a Quant Researcher who has a strong understanding of financial markets and will help support our equity portfolio. You will work with other researchers and developers on various research projects including design of predictive signals and the enhancement of our models and algorithms. The ideal candidate will have strong programming skills and demonstrate a passion for diving deep into data analysis, allowing for creative alpha generation driven by in-depth understanding of the data.
    Duties and Responsibilities:
    • Identify compelling differentiating factors, design novel predictive signals, back test & validate hypotheses.
    • Develop quantitative models to predict market movements and identify trading opportunities.
    • Stay updated with the latest academic research and apply relevant findings to enhance models.
    • Analyze large datasets to extract insights and inform decision-making processes.
    • Collaborate with other team members to improve existing research and trading infrastructure, as well as adding new data analysis and research tools.
    • Take a proactive approach to problem-solving, demonstrating a high level of motivation and initiative in the pursuit of innovative investing strategies.
    • Stay informed about market trends, emerging technologies, and advancements in quantitative finance.
    Experience:
    • Bachelors, Masters or Ph.D. in Computer Science, Statistics, Mathematics, Economics, Physics, or related fields. Advanced degree preferred.
    • Advanced training in Statistics, Mathematics, Finance/Financial Engineering or a related field
    • Strong familiarity with high-capacity research methodologies in cash equities
    • Proven experience in quantitative analysis, data interpretation, and statistical modeling.
    • Strong knowledge of financial markets and instruments
    • Strong programming skills in Python
    • Strong analytical and problem-solving skills with the ability to derive insights from complex data sets.
    • Excellent communication skills with the ability to present complex ideas and findings in a clear and concise manner
    • Strong collaborative and teamwork abilities to work effectively with cross-functional teams.
    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).
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