Job Title: Quantitative Developer
Duration: Six Months (with potential for extension)
Location: London (Hybrid Work Model)



Role Overview

Our Equity Derivatives Quant team within Global Banking and Markets is seeking a skilled C++/Python Quant Developer with a strong background in Structured Equity Derivatives. This role will focus on enhancing and maintaining our pricing, risk, and P&L infrastructure to support a high-performance trading platform.





Key Responsibilities

Pricing and Risk Infrastructure: Collaborate in designing and implementing infrastructure for pricing, risk management, and P&L functionalities that support the core pricing library.
Quantitative Library Development: Work alongside Quantitative Modellers to evolve and optimize the core pricing library.
Tooling and Platform Support: Build and maintain quantitative tools necessary for supporting the platform’s operational and analytical needs.




Project Focus Areas

FRTB IMA Regulatory Reporting: Develop calculation infrastructure to meet Fundamental Review of the Trading Book (FRTB) internal model approach (IMA) regulatory standards.
Risk and P&L Calculations: Design and implement end-of-day and intraday risk/P&L calculations, enabling the phase-out of legacy platforms.
Market Data Pipelines: Create automated data marking pipelines for market data processing and integration.




Collaboration and Interaction

The successful candidate will engage closely with trading desks, other quantitative analysts, Risk and Finance teams, and broader technology teams. While based in London, the role involves coordination with teams and clients across London, Paris, Hong Kong, and Bangalore, and may require occasional travel.



Requirements

Essential Qualifications and Skills

Experience: 3-7 years in a quantitative finance, IT development, or trading environment, ideally as a Quantitative Analyst.
Educational Background: Bachelor’s or Master’s degree in mathematical finance, mathematics, science, or related field from a top-tier university.
Technical Proficiency:
C++: Minimum 2 years (experience with Visual Studio 2017 preferred)
Python: Minimum 2 years
Domain Knowledge: Understanding of standard pricing models used in the investment banking sector.




Preferred Skills and Knowledge

Quantitative Expertise: Knowledge in stochastic processes, probability, and numerical analysis; backgrounds in physics, engineering, or similar disciplines are advantageous.
Data and Instrument Knowledge:
Experience with data analysis and familiarity with primary equity and equity derivatives instruments.
Knowledge of instrument pricing, sensitivity analysis, P&L prediction and explanation, and risk measures like VaR and Expected Shortfall (ES).


Technical Skill Set:
Experience with distributed computing and data serialization.
Proficiency in Excel and experience with CI/CD pipeline tools.


Soft Skills: Ability to thrive in a fast-paced environment and manage multiple priorities efficiently.


This role offers the opportunity to contribute to a globally integrated team, engage in impactful projects, and support cutting-edge trading and risk management systems.