Full job description Quantitative Researcher: Equity Derivatives Business (Pathway to Risk-Taking)
A leading global investment firm is seeking a Quantitative Researcher to join its equity derivatives business.
You will work closely with senior portfolio managers, build the tools that support their investment decisions, and have a clear opportunity to progress into a risk-taking role.
Key Responsibilities
*Risk infrastructure: Lead the development of risk systems covering:
*dividends
*equity funding sensitivities across futures and swaps
*single stock and index deltas
*options sensitivities (gamma, vega, theta)
*interest rate exposures
*Portfolio manager tools: Design interfaces that incorporate market data from external providers and allow portfolio managers to set their own dividend and funding curves by asset.
*Pricing: Work with portfolio managers to price futures and forwards using underlying inputs, and to derive dividend and funding expectations from market prices.
*Automation: Use AI and large language model tools to automate time-intensive workflows.
Research Opportunities
*Test strategies and trade structures against historical data.
*Assess new data sources, such as market commentary and earnings call transcripts, to identify investment opportunities.
*Analyse execution quality, including bid/offer spreads, transaction costs and speed of pricing.
*Support pre- and post-trade analysis and profit and loss attribution.
Career Progression
This role offers direct exposure to how positions are priced, risk-managed and executed. For candidates with strong commercial judgement and market insight, there is a genuine opportunity to progress into a risk-taking role.
Requirements
*5+ years’ experience at a bank, hedge fund or asset manager supporting Delta One or Equity Volatility strategies
*Strong Python skills
*Solid understanding of dividends, funding, forward pricing and options risk
*Strong commercial awareness and an ambition to move into a risk-taking role