Job description
Model Development at hyperexponential
The hyperexponential Model Development team (MDT) is a unique blend of engineers, actuaries, mathematicians and data scientists. We don’t take on traditional “transformations” (we have brilliant partners for that) – we specialise in handling only the most difficult and interesting problems that our customers face, where only a combination of technical depth, market expertise and hx Renew knowledge will do.
Your mission
The MDT are the experts’ experts of hx Renew, knowing it top-to-bottom, inside-out - both breadth and depth. You’ll know its limits and which can be pushed. You’ll know every trick in the book, the secret combos, and the cheat codes. You’ll combine all of this with a deep knowledge of insurance technology to present ‘the art of the possible’ (and sometimes seemingly impossible!) to our customers and help develop cutting-edge tech, while working alongside some of the brightest, most ambitious people in the tech and insurance industries.
Key responsibilities
Learn the hx Renew modelling platform - you’ll ship your first models independently within days!
Build models in Python for seamless integration, using cutting edge approaches
Work directly with customer actuarial teams, partner developers and our internal development teams to solve the most complex coding problems using Python
Develop cutting-edge technical solutions while working with incredibly bright, passionate, ambitious people
Review our existing Python model development approach and contribute to our best-practice guides
Consistently contribute to and improving our internal and external training & development materials
Day-to-day quality assurance process of in-flight client and internal projects
Always seek out opportunities to improve our model development standards and ways of working
Required skills & experience
A flair for Python - we’ll take you to the next level here but you’ll need production grade Python experience to hit the ground running
Any experience using predictive modelling and advanced analytics methods (our preference would be for any exposure to insurance or reinsurance pricing techniques, but we’re open to different backgrounds)
A self-starter attitude - you can operate autonomously within a high-trust, high-accountability environment. You proactively drive your own personal development and stay up-to-date with the latest industry/tech trends and challenges
Evidence of a passion for experimenting with new approaches and technologies both through your work and extracurricular learning - we host a lot of hackathons so you won’t be short of opportunities!
Bonus points for:
- Experience working in a customer-facing role
Interview Process
Initial call with our Talent team to kick things off
Take-home Python challenge followed by Skills Interview
Manager Interview
Values Interview
We offer!
What do we offer?
Company equity
£5,000 for individual and group training and conference budget
25 days’ holiday plus 8 bank holiday days (33 in total)
Company pension scheme via Penfold
Mental health and therapy provision via Spectrum.life
Individual wellbeing allowance via Juno
Private healthcare insurance through AXA
Top-spec equipment (laptop, screens, adjustable desks, etc)
Regular remote & in-person hackathons, lunch & learns, socials and games nights
Team breakfasts and lunches, snacks, drinks fridge, fun office @ The Ministry
Huge opportunity for personal development and mastery as we grow together!
Diversity @ hyperexponential
We are committed to diversity and equal opportunity. We’re a talented and high-energy, but low-ego and kind team who believes that the more inclusive we are, the better our work and culture is. We are not yet where we want to be in terms of balance, but it is our mission to build a team that represents a variety of backgrounds and perspectives and we are working hard towards that goal.
Check out our blog at https://www.hyperexponential.com/blog
Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.
