Desk Quant - Equity Volatility | Macro Hedge Fund (not a multi strat)

Undisclosed; Greater London; On-site; GBP 70,000 - 120,000; Full time

Job summary

Undisclosed, a London-based investment management firm, is seeking a Quantitative Analyst to support equity volatility traders. You will work closely with traders, with technical direction from the equities quant, and your work will feed trading decisions.

You'll build models, backtest strategies, and develop Python tools while maintaining data quality and clear communication. There is scope to expand into cross-asset volatility over time.

Qualifications

• Degree in maths, physics, engineering, CS or similar quantitative field.
• Strong understanding of equity options, Greeks and volatility structures.
• Strong Python skills to build and validate analytics.
• Attention to data quality and analytical judgement.
• Commercial awareness and clear communication.

Responsibilities

• Price, risk and scenario analysis to support equity vol trading.
• Analyse vol surfaces, skew, term structure and correlations.
• Develop models and analytics for trading and risk monitoring.
• Backtest and investigate pricing discrepancies and market behavior.
• Support Delta One analytics including dividends and forwards.
• Build Python tools with data teams for market data workflows.

Skills

Python

Equity options

Mathematics

Education

Bachelor's degree in maths/physics/engineering/CS

Tools

Pandas/NumPy

Job description

We are working with a highly collaborative investment management firm who are actively looking to hire a Quantitative Analyst to support their equity volatility traders/PMs. This will be a desk-facing role. You’ll work alongside equity volatility traders, with technical direction from the equities quant, and your work will feed straight into trading decisions. You’ll also back up Delta One products, and over time there’s scope to move into cross-asset volatility.

What you’ll be doing

• Pricing, risk and scenario analysis to support equity vol trading and trade evaluation
• Analysing vol surfaces, implied vs realised vol, skew, term structure, index vs single-stock dynamics and correlation
• Building and improving models and analytics for trading, portfolio monitoring and risk
• Looking into pricing discrepancies, market behaviour and portfolio exposures through targeted research and backtesting
• Supporting Delta One analytics, including dividends, forwards and implied funding
• Building practical Python tools and working with the quant and data teams on market data and workflows

What they’re looking for

• A degree in maths, physics, engineering, computer science or a similar quantitative subject
• A solid grasp of equity options, Greeks, skew and term structure
• Strong Python, with the ability to build and validate analytics
• Good analytical judgement, care over data quality and the confidence to question results
• Commercial awareness, curiosity, a self-directed approach and clear communication
• Comfort using AI-assisted development tools while checking the outputs yourself
• Approximately 3-6yrs experience

Nice to have

• Experience with listed equity options, vol surfaces, derivatives pricing or desk analytics
• Familiarity with exotics, correlation, dividends, funding or Delta One
• Exposure to portfolio risk, VaR, stress testing or other asset classes

This suits someone with strong quantitative foundations who wants to sit close to trading and turn traders’ questions into useful analysis.