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

1. Risk infrastructure: Lead the development of risk systems covering:
2. dividends
3. equity funding sensitivities across futures and swaps
4. single stock and index deltas
5. options sensitivities (gamma, vega, theta)
6. interest rate exposures

1. 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.
2. Pricing: Work with portfolio managers to price futures and forwards using underlying inputs, and to derive dividend and funding expectations from market prices.
3. Automation: Use AI and large language model tools to automate time-intensive workflows.

Research Opportunities

1. Test strategies and trade structures against historical data.
2. Assess new data sources, such as market commentary and earnings call transcripts, to identify investment opportunities.
3. Analyse execution quality, including bid/offer spreads, transaction costs and speed of pricing.
4. 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

1. 5+ years' experience at a bank, hedge fund or asset manager supporting Delta One or Equity Volatility strategies
2. Strong Python skills
3. Solid understanding of dividends, funding, forward pricing and options risk
4. Strong commercial awareness and an ambition to move into a risk-taking role