Quantitative Researcher/Data Scientist

Nova Intelligent Systems is an innovative startup quantitative hedge fund at the forefront of automating key aspects of the research and investment process. Founded by a veteran of Two Sigma, Citadel, and Google, we're in the pre-launch phase with strong interest from institutional investors. We're seeking talented individuals excited about joining a high-potential venture in its early stages.

We're looking for an experienced Quantitative Researcher or Data Scientist to join our team and play a crucial role in developing and implementing sophisticated quantitative models and strategies. This position offers significant autonomy and the opportunity to work on complex, impactful projects at the intersection of finance, mathematics, and technology alongside our team in Durham, NC.

• Develop and implement innovative quantitative models and trading strategies.
• Conduct in-depth statistical analysis on large-scale financial datasets.
• Create and refine machine learning models for predictive analytics in financial markets.
• Collaborate with software engineers to implement and optimize quantitative strategies.
• Perform rigorous backtesting and out-of-sample testing of trading strategies.
• Contribute to the development of the firm's research infrastructure and tools.
• Stay abreast of latest developments in quantitative finance, machine learning, and related fields.
  

• 2-6 years of relevant experience in statistical analysis, machine learning, and predictive modeling techniques.
• Eagerness to work in a startup, with dynamic, fast-paced projects that immediately impact the business.
• Proficiency in working with large datasets and distributed computing environments.
• Basic familiarity programming in Rust, Scala, C, C , or Java.
  

• Experience building predictive models for systematic decision making.
• Experience building and applying models for Bayesian inference.
• Understanding of software development practices and version control systems.
• Experience with the full life-cycle of a data science project, from data engineering to data exploration to model building, deployment, and monitoring.
• Experience with cloud computing platforms (e.g., GCP, Kubernetes, etc.) for large-scale data analysis.
• Ph.D. or Master's degree in a quantitative field (e.g., Mathematics, Physics, Computer Science, Statistics, or related disciplines).
  

• Strong analytical and problem-solving skills.
• Ability to thrive in a fast-paced, dynamic startup environment.
• Creativity in developing novel quantitative approaches.
• Proactive mindset with the ability to work both independently and as part of a team.
• Intellectual curiosity and passion for financial markets.
  

• Opportunity to be an early member of a high-potential quantitative hedge fund.
• Profit-sharing plan that aligns with the company's success.
• Cutting-edge research environment with access to vast data resources.
• Collaborative team culture with direct access to leadership.
• Chance to work at the forefront of quantitative finance and machine learning.

Interested candidates who meet the above qualifications and are excited about the prospect of joining a startup quantitative fund in Durham, NC, are encouraged to apply. Nova Intelligent Systems is an equal opportunity employer and values diversity in our workforce.