At a Glance
- Tasks: Build innovative fee aggregators and refactor data for structured products.
- Company: Pioneering tech start-up revolutionising financial markets with big data.
- Benefits: Competitive pay, hybrid working, and a chance to work with top industry talent.
- Other info: Dynamic environment with opportunities for growth and innovation.
- Why this job: Join a cutting-edge team and make a real impact in finance technology.
- Qualifications: MSc or PhD in STEM, C++/Python skills, and 6 years in quantitative analysis.
The predicted salary is between 108000 - 132000 £ per year.
Structured Products Quant Contract Outside IR35 1200 PDQuant Capital is urgently looking for a Structured Products Quant to join a pioneering tech start-up.
Our client is an innovative company with a pioneering new concept for the financial markets with their big data technology platform.
They have assembled a top team from across the financial markets and are looking to expand to meet high demand from clients.
The role: Building a fee aggregator for Structured Products Refactoring Fixed Income Data The successful candidate must have be: MSc or Ph D in a STEM Subject C++ and/or Python6 years in Quantitative Analysis Refactoring experience Chaos Functions Knowledge of Options Highly motivated My client is based London Hybrid working mostly remote.
Technology (Contract) in London employer: Quant Capital
At Quant Capital, we pride ourselves on being an exceptional employer, offering a dynamic and innovative work environment that mirrors the culture of leading tech giants like Facebook and Google. Our London office fosters a collaborative atmosphere where employees are encouraged to think critically and make impactful decisions, while also providing ample opportunities for professional growth and mastery of cutting-edge technology in the trading operations space. With a focus on employee well-being and a commitment to excellence, we ensure that our team members are equipped with the tools and support they need to thrive in their roles.
