Quantitative Researcher
sryantra capitalEastern (KY)
Quantitative Researcher
Posted yesterday
sryantra capitalEastern (KY)
SENIORITY
Senior
About the role
You'll work with massive datasets to build the predictive models behind our automated trading systems, applying rigorous statistics and machine learning to decode microstructure and anticipate price dynamics.
What You'll Do:
Design and backtest high-frequency trading signals using statistical and machine-learning methods. Mine large-scale market data for predictive features and structural inefficiencies. Research market microstructure and exchange dynamics with rigour. Improve portfolio construction and execution to reduce slippage and lift returns. Partner with traders and developers to ship production-ready strategies. Continuously monitor and adapt live strategies as markets change. What You Bring A PhD or Master's in a quantitative field (Mathematics, Physics, Computer Science, Statistics, or related). Strong programming skills in C++, Python, or Rust. Deep grounding in probability, statistics, and time-series analysis. Experience applying ML frameworks (PyTorch, TensorFlow, scikit-learn) to financial data. Curiosity, creativity, and a rigorous scientific approach. Fluency in English is required. What You'll Get A highly competitive package, including a share of the PnL you generate. Access to proprietary datasets and world-class compute. A collaborative research culture built on innovation and intellectual honesty. Full health, dental, and vision coverage. The chance to tackle some of the hardest problems in modern finance.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.