Anova S. Tech

Who We Are

Anova S. Tech LLC is founded by a team of industrial veterans with deep expertise across the most demanding environments in quantitative finance and technology. Our founding members bring years of hands-on and leadership experience from top quant trading and tech firms, where they operated at the frontier of performance-critical systems.

Our collective strengths span alpha research and quantitative strategy development, scalable R&D infrastructure design and implementation, high-performance system engineering, and data-driven decision making in daily operations.

We believe that rigorous engineering discipline, combined with deep quantitative research, creates sustainable competitive advantages in financial markets.

What We Do

Anova S. Tech operates a quantitative fund that combines rigorous research, advanced technology, and systematic execution. Our work spans the full lifecycle of quantitative investing — from signal research and portfolio construction to execution optimization and risk management.

We launched our first fund in April 2026, specializing in US equities. Our approach leverages cutting-edge machine learning, robust engineering infrastructure, and disciplined risk frameworks to operate at scale with precision and reliability.

Fund Launch: April 2026 · Focus: US Equities · Strategy: Systematic Quantitative

Careers

We are building a world-class team. If you thrive in fast-paced, intellectually rigorous environments and want to solve hard problems at the intersection of machine learning and finance, we want to hear from you.

Algorithm Developer

Requirements

  • In-depth exposure to industrial applications of machine learning models, ranging from classical ML (linear models, decision trees, gradient boosting, etc.) to advanced neural architectures (transformers, deep learning)
  • Strong academic tracking record in relevant fields such as computer science, statistics, physics, or mathematics

Nice to Have

  • Experience in designing, managing, and improving complex systems (e.g. HFT, robotics, AI agents)
  • Experience in designing, managing, and improving large-scale ML training and inference pipelines
  • PhD or master degree from a top university known in STEM
  • Prior experience in startup-like environments

Full job description coming soon. Please check back later.

Interested? Reach out to us at info@anovas.tech