Front Office Vanilla Interest Rate Quant

Social network you want to login/join with: col-narrow-left Client: Location: London, United Kingdom Job Category: Other – EU work permit required: Yes col-narrow-right Job Reference: aeae82f843cb Job Views: 4 Posted: 02.06.2025 Expiry Date: 17.07.2025 col-wide Job Description: Front Office Vanilla Interest Rate Quant (VP), London London Ref: FOVIR-0107 Total to £240 + Benefits Leading Global Investment Bank Yield curves, Xccy swaps, Skew, CDS, C# or C++ Our client, a leading Investment Bank, seeks to hire a VP Quant Analyst to join its expanding Front Office Quant team in London. With a solid background as a Fixed Income Quant (Front Office or Modal Val), you will provide modelling & pricing (e.g. Swaps, Curves, etc.), building tools & applications and developing the quant model library in C++ & C#. You will also assist Traders with Quant solutions and also provide quantitative solutions to the wider firm as per business needs. KEY RESPONSIBILITES: Contribute to the development of in-house quant solution, with focus on pricing, risk, model calibration and market data Assist in the extension of the pricing library to comply with the Model Risk frameworks. Improve tools used by traders. Analyze desk sensitivities (risks) and attribution of PnL, implementing changes in libraries and tools. Improve the internal market data model for certain data types, for example CDS spreads. Contribute to the effort to remove unused features from internal libraries and tools. Contribute to documentation and validation of model ESSENTIALS SKILL, EXPERIENCE 4 yrs+ in front office or model validation. Good understanding of IR derivatives (swap with multi-urve, swaptions with skew), vanilla derivatives in one other asset class Strong quant development skills in C# or C++. Contributed to production code used for valuation or risk engine for PnL & sensitivities IR curve bootstrapping expertise: e.g. choice of interpolation, choice of instruments, curve hierarchy, etc. Good understanding of risk profiles of Xccy swaps, vanilla options. Experience in changing valuation Monte Carlo, PDE, tree or numerical integration PhD or Masters in a Scientific Discipline (Hybrid working – 3 days in Office) #J-18808-Ljbffr