Quant Developer - Equity Derivatives

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Quant Developer – Equity Derivatives, london

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Client:

Nicoll Curtin

Location:

london, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

05.05.2025

Expiry Date:

19.06.2025

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Job Description:

Equity Derivatives Quant Developer – C++, Python, CI/CD, Equities, Equity Derivatives, Pricing, Sensitivity Calculations, Algorithms, Quant Finance, Risk Management.

I am seeking an experienced C++/Python Quant Developer to join my client who is a leading investment bank based in London. In this role, you will focus on building and optimizing infrastructure for pricing, risk management, and P&L calculation. You will collaborate with Quantitative Modellers to enhance core models and ensure compliance with regulatory standards.

Key Responsibilities:

• Develop and optimize systems for pricing, risk, and P&L calculations.
• Partner with Quantitative Modellers to refine pricing models and tools.
• Create solutions to meet regulatory reporting requirements (FRTB IMA).
• Contribute to both end-of-day and real-time risk and P&L calculations.
• Build and maintain data pipelines for market data and pricing support.
• Work across teams to ensure alignment and deliver on business objectives.

Key Skills:

• C++/Python
• Equities/Equity Derivatives
• Options, Options Pricing, Managing Pricing
• Solid understanding of pricing models and stochastic processes.
• Familiarity with risk measures such as VaR, P&L forecasting, and sensitivities.
• Experience working with large data sets and distributed systems.
• Knowledge of Equity Derivatives and their pricing mechanisms.
• Advanced Excel skills and familiarity with CI/CD workflows.
• Degree in Mathematics, Finance, or a related field.

This is a contract role paying up to £1000 per day inside IR35 via an umbrella. You will be required to attend the office in London up to 3 times per week.

Equity Derivatives Quant Developer – C++, Python, CI/CD, Equities, Equity Derivatives, Pricing, Sensitivity Calculations, Algorithms, Quant Finance, Risk Management.

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