At a Glance
- Tasks: Develop and maintain tools for parametric insurance strategies using deep learning.
- Company: Innovative tech firm transforming construction project delivery with cutting-edge technology.
- Benefits: Competitive salary up to £95k, options, remote work, and a relaxed atmosphere.
- Other info: Enjoy autonomy in a dynamic environment with opportunities for personal and professional growth.
- Why this job: Make a real impact on global infrastructure projects while working with advanced technology.
- Qualifications: PhD-level expertise in a technical field and strong skills in Python and data science.
The predicted salary is between 85500 - 104500 £ per year.
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
- Ph D-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.
Quant Analyst Modelling employer: Quant Capital
Quant Capital is an excellent employer for those looking to thrive in the fintech sector, offering a vibrant work culture that fosters innovation and collaboration. With substantial training and development opportunities, employees can enhance their skills while enjoying a flexible hybrid work model in the heart of London. Join us to be part of a forward-thinking team that values growth and cutting-edge technology.
