Quant Analyst Modelling

Quant Analyst Modelling
To £95k Plus Options
Quant Capital is urgently looking for a Quant Analyst to join our high profile client.
Our client is a is a recently founded technology business that seeks to improve the way projects are delivered, using the power of deep learning. They are funded by well known names in the PE space.
My client is all about making construction more predictable via a comprehensive understanding of plan outcomes, and a crucial part of that is being able to deliver deep insights for very large construction schedules. They’re working on some of the largest infrastructure projects in the world, which means having the opportunity to have true impact on the world around us.
The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The atmosphere is calm and relaxed with an open dress code. This is a role for techies, those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about.
You will temporarily report to the Science Director, and work in very tight collaboration with our diverse technical teams, as well as the commercial team trying to create a completely new type of parametric insurance for projects. You will have a lot of autonomy to create new tools and explore new strategies, so will have to be self-guided in the exploration of what’s possible.
You will be responsible for ensuring that our dataset is up to scratch for testing insurance strategies.
You will create and maintain parametric backtesters, strategy descriptions languages, pricing models, and any other tools that will be relevant to creating effective insurance products.
You will collaborate with the commercial team in defining the free parameters of commercial contracts and their boundaries, as well as working with insurer and reinsurer teams on the packaging of insurance portfolios.
Quant Analysts should have:
• Strong mathematical and statistical skills
• Deep understanding of forecasting
• PhD-level (or equivalent) in a technical discipline
• Understanding of how to create pricing strategies
• Understanding of how to backtest various strategies and measure their performance
• Specialised knowledge of insurance and/or options pricing or financial services
• Knowledge of extreme statistics
• Proficiency in Python and associated Data Science libraries and tools (pandas, numpy, seaborn, matplotlib, scipy)
My client is based in the City of London but this is a Remote Role.