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emagine

Quant Analyst - Equities

London
£850 – £950/day
Posted 1 day ago
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Equities Quant Analyst

£850-£950pd Inside IR35

5 days on site in London

Initial 6 months

emagine is a high-end professional services consultancy and solutions firm specialising in providing business and technology services to the financial services sector, we power progress, solve challenges and deliver real results through tailored high-end consulting services and solutions.

We have created a culture of openness and integrity by building genuine and strong relationships and partnerships, enabling us to be uncompromising in our dedication in delivering the optimal service for our clients. Our commitment is not just towards our clients but we aim to foster a positive and equitable working environment with our consultants and colleagues which stems from our core values: Confident, Dedicated, Responsible, Genuine.

We are looking for a Quantitative Analyst to join a front-office equities team, focusing on the development and enhancement of quantitative models used for pricing, risk management, and trading of equity derivatives.

Key Responsibilities

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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  • Develop, calibrate, and maintain models for equity volatility surface construction and modelling.
  • Support pricing, risk, and hedging of equity derivative products.
  • Conduct quantitative research into volatility dynamics and model behaviour.
  • Partner closely with traders, structurers, risk managers, and technology teams.
  • Improve model performance, calibration methodologies, and analytics frameworks.
  • Contribute to the implementation of quantitative libraries and production tools.

Required Experience

  • Proven experience as a Quantitative Analyst within an investment bank, hedge fund, asset manager, or similar quantitative environment.
  • Strong hands-on experience with equity volatility surface modelling.
  • Deep understanding of equity derivatives, volatility modelling, and quantitative finance.
  • Strong mathematical and statistical background.
  • Proficiency in Python and/or C++.
  • Ability to communicate complex quantitative concepts to both technical and non-technical stakeholders.

Preferred Qualifications

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  • Advanced degree in Mathematics, Physics, Statistics, Engineering, Computer Science, or a related quantitative discipline.
  • Experience with local volatility, stochastic volatility, or stochastic local volatility models.
  • Knowledge of numerical methods and model calibration techniques.
  • Exposure to front-office trading environments.

Interested?

At emagine, we are committed to building an international and diverse team by embracing our different backgrounds.

If you are up to the challenge and would like to find out more, get in touch with us immediately, our internal recruitment team is always keen to hear from dynamic individuals that are looking to further their career and explore their full potential.

“emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin”

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Skills

Equity Volatility Surface Modelling
Equity Derivatives
Quantitative Finance
Python
C++
Volatility Modelling
Risk Management
Pricing Models
Mathematical Statistics
Numerical Methods
Model Calibration
Stochastic Volatility

Location

London, England, United Kingdom

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