Job summary
Job post source
This job is directly from Astera Holdings
Job overview
The Sr. Quant Researcher at Astera Holdings is a senior individual contributor role focused on leading alpha generation and developing predictive trading strategies in the emerging asset class of prediction markets.
Responsibilities and impact
The role involves researching and validating new quantitative trading strategies, conducting data analysis and modeling, setting research direction, prototyping and backtesting models, collaborating on production systems, mentoring peers, and contributing to the company's core intelligence engine.
Experience and skills
Candidates should have proven senior quantitative research experience, mastery of statistical modeling and machine learning, proficiency with data science tools like Python and R, experience in quantitative finance preferably at a top-tier firm, strong first-principles thinking, scientific rigor, and alignment with company values; an advanced degree such as a PhD is preferred.
Work environment and culture
Astera Holdings fosters a culture of Radical Intellectual Honesty, Scientific Approach, and Lean Intensity, emphasizing meritocracy and collaboration in a high-performance environment.
Company information
Astera Holdings is a quantitative finance firm focused on transforming prediction markets into a scientific asset class, operating three synergistic subsidiaries and leveraging proprietary data to enhance predictive models.
Job location and travel
The position is remote with a preference for candidates located in New York.
Team overview
The candidate will report to the Chief Technology Officer and work closely with the Head of Engineering as part of a collaborative research and engineering team.
Unique job features
This role offers the freedom to pursue original research ideas with direct support from a world-class engineering team, focusing on a new and inefficient asset class with a scientific and rigorous approach.
Company overview
Astera Holdings is a diversified company specializing in the development, manufacturing, and distribution of advanced lighting and technology solutions, serving industries such as entertainment, architecture, and events. The company generates revenue through the sale of innovative LED lighting products, wireless control systems, and related accessories, catering to professional clients worldwide. Astera has built a reputation for reliability and cutting-edge design, with a history of pioneering wireless lighting technology and supporting high-profile productions and installations. Candidates should be aware of Astera’s emphasis on sustainability, user-friendly design, and continuous product innovation. Understanding the company’s global reach and commitment to quality can be advantageous when applying.
How to land this job
Position your resume to highlight your senior-level quantitative research expertise, emphasizing your ability to develop profitable trading strategies from inception to implementation, as this is central to Astera Holdings' mission.
Focus on showcasing your mastery of statistical modeling, machine learning, and time-series analysis, particularly your proficiency with Python, R, pandas, and scikit-learn, to align with the technical demands of the role.
Apply through multiple channels including Astera Holdings' corporate careers page, LinkedIn, and specialized quantitative finance job boards to maximize your application visibility.
Connect with current quantitative researchers or team members within Astera Holdings on LinkedIn, initiating conversations by referencing recent advancements in prediction markets or expressing genuine curiosity about their approach to scientific rigor and alpha generation.
Optimize your resume for ATS by incorporating keywords such as 'quantitative trading strategies,' 'alpha generation,' 'statistical validation,' 'machine learning,' 'backtesting,' and 'scientific method' to ensure your resume passes automated screenings effectively.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify the best platforms for submitting your resume, and find relevant LinkedIn contacts to network with, allowing you to focus your energy on preparing for interviews and refining your research portfolio.
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