Quant/Analytics Engineer – Python, SQL, Looker, dbt, Airflow, Data Analytics, Data Engineering, Data Modelling, MI, ML, GCP, Cloud, - InsureTech, City of London
A fast-growing fintech in the Insurance industry are looking to hire a Quant/Analytics Engineer to join their Analytics Engineering Team. This team sit with the business, undertaking a mixture of work, which includes contributing to the ongoing build out of their bespoke next-gen Analytics platform, as well as working directly with their Underwriting team with regards to research, modelling, pricing and risk management.
You will be provided with full support and training to continue grow your skillset, working with a tech stack comprised of Python for the backend, Airflow for scheduling and monitoring, Looker for Visualization and Google Cloud hosting.
As a result of working directly with the business and a ‘no-silo’ policy, you will also have the opportunity and be encouraged to develop your product knowledge across of the core areas the business operates in.
Desired Skills
- Circa 2 years’ commercial experience, preferably in a Start-up/Fintech environment, with good knowledge/skills in Python programming
- Good SQL and an understanding of core database concepts
- A passion for technology and topics such as Data Analytics, Data Science, Quant engineering etc. and real genuine desire to learn.
- An understanding of data/BI analysis and experience of related tools is highly desirable, especially Looker, Tableau, Airflow or related tools.
- A STEM degree, preferably in Computer Science, Physics, Mathematics etc.
This represents a great opportunity to join successful & growing Fintech who are embracing modern technology and will support your personal development.
