ROLE DESCRIPTION :
Equity Derivatives Quants (a division of Global Banking and Markets) are looking for an experienced C++ / Python developer specialising in Structured Equity Derivatives with the ability to lead small teams. The candidate will be expected to :
- Assist the design and implementation of pricing, risk and P&L infrastructure surrounding the core pricing library
- Take the lead in delivering large components of that strategy, directing junior members of the team. Working with our IT organisation on their foundation components and ensuring they can run the platform to meet SLAs.
- Assist the Quantitative Modellers to develop the core pricing library
- Direct the development of the Quantiative tooling required to support the platform
The role will cover the following agendas :
Delivery of the calculation infrastructure required for FRTB IMA regulatatory reportingDesign and development of end-of-day risk and P&L calculations allowing the retirement of the legacy vendor platformDesign and development of intraday risk and P&L calculationsDesign and development of market data marking pipelinesThe candidate should expect to have day-to-day interactions with the trading desk, other quants, the Risk and Finance departments, and technology teams. While the role is London based, the team and clients are located globally with presence in London, Paris, Hong Kong and Bangalore. Occasional travel may be required.
Essential Certifications, Qualifications and Experience (For the Job - not the Job holder. Minimum requirements of the Job) :
7-10 years working as a Quantitative Analyst developing models in quantitative finance, IT development, or a trading environmentA degree in mathematical finance, science or maths from a top tier universityKnowledge of the standard pricing models used in the investment banking industryFive or more years C++ experience (preferably using Visual Studio 2017)Three or more years Python experience requiredPreviously developed coding standards and extensive experience in CI / CD pipelinesExperience of developing multi-component architecturesKnowledge of distributed computing and serialisation techniquesDesirable Knowledge, Skills & Experience :
Background in stochastic processes, probability and numerical analysis. Physics, Engineering or similar subjects is desirable, but not strictly required.Experience of data analysisKnowledge of the main instruments used in Equities and Equity DerivativesKnowledge of instrument pricing, sensitivity calculations, P&L prediction, P&L explain, VaR, ES and other risk measures.Good knowledge of Excel.Ability to work in fast-paced environment with proven ability to handle multiple outputs at one time(ref : hirist.tech)