Full job description We are supporting a buy-side Portfolio Manager running a multi-asset tail risk and convexity-focused strategy , who is looking to add a Quant Trader to their team. The role sits directly on the investment desk and is focused on the research, implementation, and active management of live risk.
This is a hands-on position with real responsibility for capital deployment, risk management, and performance , rather than a pure research or support role.
Responsibilities
*Research and implement quantitative trading ideas across equities, rates, FX, commodities, and volatility
*Design and manage convex payoff structures aligned with portfolio-level risk objectives
*Support capital allocation decisions across tail and defensive strategies
*Actively manage positions to optimise carry, decay, and drawdown behaviour
*Analyse stress scenarios, regime shifts, and cross-asset correlation dynamics
*Monitor live exposures, risk limits, and P&L drivers in collaboration with the PM
*Improve execution, hedging, and monetisation frameworks for volatile markets
Requirements
*4–5 years of experience in a buy-side trading, quantitative, or systematic role
*Strong understanding of derivatives, volatility, and risk-based portfolio construction
*Experience working with live capital and real-time risk
*Strong programming skills (Python required; others a plus)
*Commercial mindset with a clear understanding of risk-reward trade-offs
*Comfortable operating in a lean, high-accountability investment team
The Opportunity
This role offers direct exposure to portfolio management and decision-making within a buy-side environment, working on strategies designed to perform during periods of market stress. The Quant Trader will play a key role in shaping how convexity is sourced, managed, and monetised across the portfolio.