National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Quantitative Researcher – Equity Volatility

Oxford Knight
Greater London
1 month from now
Create job alert

Salary:£150k // £250k TC

Experience:2-6 years

Summary:


Great opportunity for an alpha-strategy-focussed Python Quant Researcher to join one of the world’s most prestigious hedge funds.


This is a new specialized team at the firm – Volatility Alpha Development – made up of engineers, quants and data scientists, and you’ll work closely with different Portfolio Managers and their trading pods. You will be building a Vol Alpha library for PMs; existing vol PMs on the discretionary side and being part of the build-out and expansion of new systematic vol PMs to help decrease their onboarding time.


The successful Quant Researcher will enjoy facing off to the business and have exceptional communication skills.


Skills and Experience Required:

2-6 years’ Python programming experience; some KDB & SQL is useful


Substantial experience with equity derivatives modelling, vol surface fitting and backtesting systems
Experience with QIS Strategies, Equity Derivatives, Equity vol
Some knowledge of developing classic volatility trading strategies, e.g. dispersion, relative value, VIX complex

Rewards and Incentives:

Significant salary + bonus and growth


Greenfield work / big impact
Very collaborative culture, ideas are implemented
Work-life balance is highly valued

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Related Jobs

View all jobs

Quantitative Researcher, Equity.

Quantitative Researcher, Private Equity Co-Investments (Boston, London or Dublin)

Quantitative Equity Researcher – Asset Manager – London

Quantitative Equity Researcher – Asset Manager – London

Senior Quantitative Equity Researcher

Senior Equity Quantitative Researcher

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.

Data Science Jobs Salary Calculator 2025: Find Out What You Should Earn in the UK

Why last year’s pay survey is already out of date for UK data scientists “Am I being paid enough?” Every data professional eventually asks that question—often after a teammate reveals a hefty counter‑offer, a recruiter shares a six‑figure opening, or a headline trumpets the latest multimillion‑pound AI investment. Yet salary guides published even twelve months ago belong in a museum. Generative‑AI hype re‑priced Machine‑Learning Engineer roles, LLM fine‑tuning turned Prompt Engineering into a genuine career path, & fresh regulation forced companies to hire Responsible‑AI Officers on senior‑scientist money. To cut through the noise, DataScience‑Jobs.co.uk distilled a transparent, three‑factor formula. Insert your role, your region, & your seniority, and you’ll get a realistic 2025 salary benchmark—no stale averages, no vague ranges. This article walks you through the formula, examines the forces pushing data‑science pay ever higher, and offers five concrete actions to boost your market value within ninety days.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.