Contact
Why Estay
A seasoned team and pioneering research in financial artificial intelligence.
We combine a mature team, with an average age of 48, with over a decade of proprietary AI trading experience. We work on a non-custodial, API-based model with institutional infrastructure partners, and our emphasis is strictly on risk mitigation, capital preservation and mathematical excellence.
We offer competitive compensation, performance-linked upside, flexible remote-working models and the opportunity to build state-of-the-art quantitative tools.
How we build
Four engineering pillars behind Smart Balanced Hedging.
Inspired by Stafford Beer, our master control model continually regulates strategies in real time instead of relying on linear, static algorithms.
Our neural architecture filters noise and identifies complex, multi-dimensional market patterns across hundreds of sources simultaneously.
Marcenko-Pastur eigenvalue cleaning and Hierarchical Risk Parity optimise capital allocation far beyond Modern Portfolio Theory.
Deep learning cannot be backtested in isolation; our technology trains continuously in real market conditions, with an emphasis on robust out-of-sample edge.
Open positions
Four roles in our core engineering and operations team.
Develop and refine our adaptive machine-learning models. Responsible for feature engineering, dimensionality reduction (PCA), loss-function design and maintaining our robust parameter-optimisation pipeline.
Architect low-latency infrastructure connecting our execution engine with the prime broker (LTP) and top-tier venues. Build automated margin rebalancing, API connectors and execution monitoring.
Design user-facing and internal dashboards for real-time tracking of portfolio performance, API-key linking, risk metrics and trade verification.
Oversee strategy behaviour around the clock: monitoring balanced hedges, funding rates, liquidity dynamics and prime-brokerage operational workflows.
Our stack
Technology and operating environment.
How to apply
Write to us and tell us which role interests you.
Send your CV and a few lines about what you would like to build to the address below. We read every application and reply personally.