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- Academic excellence: A PhD (or equivalent) in Maths, Physics, or Engineering from a leading university.
- Proven expertise: A minimum of 5 years' experience as a Front Office FX Quant, with extensive knowledge of market conventions and dynamics.
- Technical proficiency: Strong skills in QuantLib and Python. Familiarity with JavaScript, C++, and Bash are advantageous.
- Independent and proactive: Capable of thriving in a startup environment, embracing its challenges and opportunities.
- Expert level of knowledge in the area of portfolio credit modelling techniques & model parameters (EPE, PFE, LGD) as well as stress testing and scenario analysis
- Experience in the area of initial margins and estimation of tail risk on futures, options and other traded products (Cleared, ETD and OTC)
- Proficiency in one or more programming languages (e.g. Python) for prototype development.
- A university Degree, with advanced degree preferable, (e.g, MSc) in relevant discipline or professional qualifications (e.g. CFA, FRM)
Quantitative Analyst - London, United Kingdom - ETRA Talent
Description
Must have the following experience
Role one:
Role Two: