Description

Simulation Research Lead - Global Proprietary Trading Firm (Remote)

Overview

We are working with a leading global proprietary trading firm seeking a Simulation Research Lead to join its quantitative research organization. The firm operates a fully systematic trading platform, managing the full lifecycle from research and simulation to live execution across global markets.

Trading spans multiple asset classes including equities, equity derivatives, options, commodities, and rates, with strategies deployed across high‑frequency and medium‑frequency time horizons. The organisation is technology‑led, highly research‑driven, and operates on a fully remote basis.

This role sits at the core of the trading process and will play a key role in improving the fidelity, scalability, and predictive power of the firm's simulation and backtesting frameworks.

Responsibilities

• Own and define simulation methodologies across trading strategies and asset classes
• Lead sim‑vs‑live validation efforts, measuring divergence and identifying root causes
• Specify and influence simulation behaviour for a Rust‑based trading platform
• Conduct ongoing research into execution modelling, adapting approaches as market conditions change
• Optimise backtesting performance and infrastructure costs through code and system‑level improvements
• Partner closely with quantitative researchers, traders, and engineers to embed best‑in‑class simulation practices

Required Experience

• Extensive hands‑on experience in algorithmic execution and systematic trading
• Strong quantitative background with expertise in:
• Market impact modelling
• Queue displacement and queue position inference
• Phantom liquidity and adverse selection
• Deep understanding of order‑book simulation, including:
• LOB reconstruction
• Matching engine logic (price‑time, pro‑rata, hybrid)
• Fill probability estimation
• Experience modelling execution latency and its impact on performance
• Strong awareness of market‑data quality challenges (stale quotes, crossed books, timestamp issues, venue normalisation)
• Proven ability to detect and prevent overfitting using robust validation techniques (e.g. walk‑forward analysis)
• Hands‑on approach to research prototyping and statistical validation
• Familiarity with relevant academic literature in market microstructure and execution

Why Apply

• Senior, high‑impact role with direct influence on trading performance
• Exposure across HFT and MFT strategies in global markets
• Fully remote working environment
• Collaboration with highly technical trading and engineering teams
• Opportunity to shape the simulation backbone of a large‑scale proprietary trading platform

If this opportunity is of interest, please apply directly or contact Jonathan Ekoh at for further information.