A great opportunity for students or recent graduates!
Do you have a strong programming skills and a foundation in mathematics or actuarial sciences? We're looking for talented individuals with a flare for statistics and an interest in financial modelling
to help shape our software!
About Us
We're a dynamic startup at the intersection of finance and technology, specialising in quantitative risk management software. Our mission is to empower business with advanced tooling to understand, quantify, and mitigate financial losses effectively.
Your Role
Improve and enhance existing mathematical models into scalable and efficient systems.
Design, develop, and maintain backend mathematical engines for our financial loss modelling applications.
Ensure high performance, reliability, and security of APIs and backend services.
Contribute to architecture decisions and improve the software development lifecycle.
Stay updated on industry trends and emerging technologies to ensure our solutions remain cutting-edge
What We’re Looking For
Education \& Experience
:
A degree in Mathematics, Actuarial Sciences, Computer Science, Software Engineering, or a related field.
Strong academic or practical background in algorithms, data structures, and mathematical modelling
Background and understanding of Machine Learning / AI advantageous
Understanding of finance advantageous
Technical Skills
:
Proficiency in backend programming languages such as Python, R, C/C++ and Go
Experience with python mathematical libraries such as scipy and numpy
Familiarity with AWS \& Git and working in a DevOps team
Proficient on unix-based systems
Problem-Solving
:
Strong analytical skills and the ability to translate mathematical models into efficient code.
A keen eye for optimisation and performance improvements in complex systems.
Exposure or experience working with start-ups and/or financial services software highly regarded.
This is a great opportunity for students or recent graduates!