Akur8 is a young, dynamic, fast growing Insurtech scale-up that is transforming insurance pricing and reserving with transparent machine learning.
Our SaaS platform leverages the power of transparent machine learning and predictive analytics to inject game-changing speed, performance and reliability into insurers’ pricing and reserving processes.
Powered by skilled R&D, Product & Actuarial teams we’ve developed unique AI algorithms that automate the insurance pricing and reserving in an unprecedented manner.
This results in a pricing solution that enables insurance companies to model risks 10 times faster with greater predictive power than traditional methods, whilst including next-generation reserving features, offering an end-to-end platform that anticipates and accounts for future claims.
Akur8 has already been selected:
In CB Insights Top 50 World Insurtech Companies 2024
In Insurtech Global’s Top 100 AIFinTech list 2024
In Fintech Global’s Top 100 AIFinTech list 2024
In CNBC’s World Top 150 Insurtech Companies 2024
With 42 nationalities on our team and offices in 8 major global cities, Akur8’s solution is international by design, serving over 320 clients across 4 continents, and focusing on mature markets to drive faster growth.
To learn more about Akur8, and what we do, click here.
Akur8 is, in all senses of the term, an equal opportunities employer. Akur8 puts diversity, equality and inclusion at the heart of its values. We examine all applications based on equal skills and applying the principles of non-discrimination.
We’re looking for a Senior Python Software Engineer that has a strong interest in both cloud-computing & Machine Learning in order to help build our complex SAAS solution alongside our world-class tech teams.
You'll have the opportunity to be part of a newly formed engineering team focusing on a new product. This team is responsible for building a new cloud-native product from the ground up, presenting an exciting technical challenge.
Our Technical Leads will form feature teams - consisting of Frontend Software Engineers, Backend Software Engineers , Product Managers & Product Designers.
You'll leverage cutting-edge technologies & architectural patterns to create a scalable, resilient, and efficient solution that meets the evolving needs of our clients in the insurance industry.
As a Python Software Engineer you’ll:
Be a reference for technical subjects such as architecture and guidelines;
Regularly work with our Product & Design teams to turn our vision into a tangible roadmaps
Maintain, evolve and evangelise Akur8’s software development best practices (clean Code, automation test, reliability) to engineers, ensuring that they're followed
Design and build complex systems, focusing on performance, scalability, security, as well as crafting an attractive UX
Testing as a part of the development process (unit, integration and E2E tests);
Collaborate with other engineers to deliver our machine learning pipelines.
As well as:
Implement new actuarial requirements as Python functions
Review and optimize existing python functions as necessary
Provide unit tests around all Python capabilities
Work with subject matter experts to research, prototype, and develop new actuarial approaches
Support actuarial data analytics by building reusable analysis functions
Help develop visualization components for actuarial results and diagnostics
REQUIRED SKILLS / EXPERIENCE NECESSARY FOR THIS ROLE:
Strong Python software development skills
Comfortable turning actuarial, financial, or mathematical concepts into robust, scalable Python code
Experience with AWS and its services
Technological environment:
Amazon AWS (and numerous AWS services), C#, Python, .NET, Entity Framework, Angular, PostgreSQL, Kubernetes, .NET Aspire, SignalR, Github
Candidates must be team players with strong interpersonal skills, have proven experience building commercial-grade business software, a successful track record developing for Amazon AWS, as well as:
A MINIMUM of 5 years postgraduate experience as a Python Developer;
Knowledge of data structures and related algorithms and their implementation in code & databases;
Python Development Experience
Ability to produce clean, modular, testable code and a good knowledge of software development best practices;
Experience with packaging, virtual environments, and dependency management
Understanding of functional and object-oriented design patterns
Vectorized computing (NumPy/Pandas)
Parallelism/multithreading for heavy computational models
Data Science & Numerical
NumPy for numerical operations
Polars or Pandas for data manipulation and wrangling
Statsmodels for statistical modeling
Scikit-learn for ML workflow fundamentals (pipelines, cross-validation, metrics)
SciPy for numerical optimization and interpolation
Aptitude for mathematics, with the ability to understand and implement statistical and financial calculations;
Soft skills
Good communication skills and a will to share your knowledge with your team;
Ability to work independently;
Excellent English skills, and ability to write and speak clearly and effectively;
Additional BONUS skills (desirable but nonessential)
Technical
Experience of backend projects in C#/.NET or similar;
Knowledge of database design in PostgreSQL;
Experience with micro service architecture.
Experience with Kubernetes.
Functional
Familiar with non-life reserving workflows, and advanced statistical modeling
Understanding of loss reserve triangles, claims development, cohorts
Ability to translate actuarial formulas into optimized Python modules
Understanding of claims-level datasets
Policy exposure aggregation
Actuarial data structures (triangles, severity/frequency data, etc.)
As a newcomer, you'll be joining a diverse, highly skilled and motivated team, with a strong Tech DNA, colleagues that are eager to share their knowledge and passion.
But it’s not all work, you’ll also be part of a dynamic team that enjoys spending time together and having fun.
In addition to this, we will provide you with:
Competitive salary + annual bonus
Health insurance , Dental and Vision coverage
Retirement Savings Plan
Generous vacation policy
Commuter benefit
Gym membership via ClassPass
IT equipment allowance
Additional benefits:
Professional development & trainings
Team fun: regular company gatherings and team events
Fun goodies.
