Quantitative Developer - TradingHub
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About the role
We are seeking a Quantitative Developer to help design, build, and validate the models that power our industry-leading market surveillance and analytics products. As part of our metrics division, you'll collaborate with a team of engineers and quants to create and deploy market abuse metrics and detection algorithms. The successful candidate will combine excellent mathematical skills with the proven ability to engineer high-quality software in a practical setting.
Responsibilities
- Development of sophisticated pattern-detection algorithms to be utilised across all of TradingHub's product offerings
- Research and development of broad models of market dynamics across multiple asset classes
- Prototyping, testing, and validation of TradingHub's proprietary mathematical/statistical models
- Use of in-house big data language for the large-scale pricing and analysis of security and risk data
- Implementation and optimisation of the core algorithms used by TradingHub to perform deep analysis of financial data
Requirements
- Proficiency with C#, C++ or Python
- Evidence of exceptional mathematical and analytical skills
- Initial industry experience working as a quant within a financial services organisation
- Some knowledge of risk sensitivities or "Greeks" such as Delta, Gamma, DV01 etc.
- Understanding of derivatives (e.g. swaps, options, futures)
- Confidence to experiment with new ideas and technologies
- Keen to work in a fast-paced environment
Benefits
Additional Information
Compensation: Competitive (Financial Services) About TradingHub Founded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation. With a team of over 150 experts worldwide, TradingHub combines global reach with deep markets expertise to help our customers mitigate financial, regulatory, and reputational risk.
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