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Equities Quant Analyst
Job Posted: a day ago
Salary: £ 150,000 - 155,000 / Annum
Job Type: Permanent
Location: London
Expire in: a month
Job Description
PLEASE DO NOT APPLY FOR THIS ROLE UNLESS YOU HAVE THE BELOW
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Education: Master’s or PhD in Mathematics, Physics, Computer Science, Financial Engineering, or similar.
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Experience: Up to 5 years in a quantitative role (trading, structuring, modelling, or financial risk).
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Technical Skills:
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C++ (expert level)
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Python (hands-on experience)
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Object-Oriented Programming (OOP)
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Strong grasp of calculus and stochastic calculus
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Financial Knowledge: Understanding of swaps, indices, futures, ETFs, and options.
The Global Equity Quantitative Analyst team is responsible for providing the mathematical and analytical foundation that supports trading, risk management, and structuring teams, as well as delivering quantitative solutions for regulatory and strategic requirements.
In this role, you will collaborate with traders, structurers, technologists, and risk professionals to develop pricing and risk management models, design analytics infrastructure, optimise trading strategies, and support real-time decision-making in a fast-paced front-office environment.
This is an exceptional opportunity to deepen your expertise by working alongside experienced traders and quantitative specialists in a highly collaborative setting.
Key Responsibilities
Develop and enhance mathematical models for pricing and risk management.
Work directly with traders to solve complex real-world trading challenges.
Partner with front-office teams (traders, sales, and structurers) to provide quantitative support for new products and trading ideas.
Collaborate with technology teams to implement models and integrate analytics into the production environment.
Continuously refine and adapt existing models to reflect market dynamics and emerging risks.
Requirements
Must Have
Master’s or PhD in Mathematics, Physics, Computer Science, Financial Engineering, or a related quantitative discipline.
Up to 5 years of experience in a quantitative or financial modelling role.
Strong programming expertise in C++ and solid hands-on experience with Python.
Deep understanding of object-oriented programming, calculus, and stochastic calculus.
Knowledge of financial instruments such as swaps, indices, futures, ETFs, and options.
Analytical mindset with strong attention to detail and the ability to communicate complex concepts clearly.
Proven ability to deliver high-quality, well-tested solutions under tight deadlines.
Nice to Have
Experience developing or supporting quantitative investment strategies.
Familiarity with Monte Carlo simulations and partial differential equations (PDEs).
Exposure to advanced financial models and numerical methods.
Programming experience with C# or other relevant languages.
Knowledge of databases and analytics infrastructure.
What’s in It for You
Opportunity to work in a front-office quantitative role with direct exposure to trading and structuring.
Collaborative, innovative, and high-performing environment.
Mentorship from experienced quants and traders to support career growth.
Competitive compensation and performance-based rewards.
Flexible work/life balance options.
The chance to make a tangible impact through cutting-edge modelling and strategic decision-makingBefore You Apply
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