Quant Analyst (IT)
Quant Analyst 6 Month contract initially Based: Hybrid/London - Max 2 days p/w onsite Rate: Market rates (via Umbrella company) We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can really make a difference. We a great opportunity for a number of Quant Analysts on a great program of work. This roles provides an excellent opportunity to work on critical projects in Capital Markets space, gain experience working with front-end teams and gain On-job learning of new technology & tools to deliver work. The successful candidate will be a member of The clients QA Equity & Hybrid Products team, which is part of the Global Quantitative Analytics group (QA) and is responsible for research, development and implementation of quantitative models for the equity derivatives business. It covers equity flow products, equity structured & hybrid products, quantitative index and strategies business. Key Responsibilities:
- Documentation, Testing and improvements of an internal risk model, which is owned by The QA Equity & Hybrid Products team and feeds the Credit Valuation Adjustment (CVA) for products sensitive to future implied volatility dynamics (e.g Corridor Variance Swaps).
- Liaise with Front Office, Technology and Model Validation teams, to deploy the risk model to production
- Ideally possess a Masters or PhD in Mathematics/Computer Science or related field
- Mathematically minded (knowledge of financial mathematic, ability to program numerical algorithms in C++):
- Experience in Front Office & Derivatives modelling
- Theoretical knowledge of financial engineering/structuring and financial product development
- Strong analytical and numerical skills
- Good Python programming skills
- Strong C++ programming skills (ideally worked in a C++ shared library)
- Able to explain complex ideas in a clear and coherent manner to colleagues/traders/sales/management both oral, written or in presentation
- Integrity, desire to have correct and robust mathematical models and implementation
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