Graduate Pensions Analyst, hybrid working
2 weeks ago
My client is a leading buy-side focused FinTech business delivering cutting edge trading technology for pre-trade analytics and order & execution management to some of the world's leading hedge funds and asset managers.
An opportunity to be part of one of the most exciting FinTech businesses in the City with a clear goal to become the first choice trading technology provider with asset managers and financial institutions alike, across the derivatives trading market.
They pay market leading compensation, including a lucrative commission scheme and annual discretionary bonus with ongoing opportunities for financial advancement.
They offer a hybrid office and working from home model.
They offer benefits including pension, healthcare, life insurance, 26 days holiday, 10 further days working from wherever you want in the world, onsite gym, cycle to work scheme and a range of other benefits.
Joining the Quantitative Analytics & Development team, you will play a key role in the development and enhancement of their in-house pricing and risk models, working across a range of securities and derivatives, with a focus on Credit. The models are implemented in the Quant Library, which is written in C++.
Play a key role in the building of new C++ & Python based tools and services in line with the needs of the clients.
Play a key role in the implementation of models into the pricing and risk platform using C#.
Play a key role in the monitoring and support of the Quant production system.
Strong development skills in C++ skills are essential.
Credit Derivatives experience is beneficial, however they will consider candidates from other areas of Fixed Income, especially Interest Rate Derivatives and XVA.
A Master's degree or a PhD in a mathematical or STEM discipline.
A passion for working in a FinTech environment.
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