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Hyperexponential (HX) Model Developer – REMOTE / OUTSIDE IR35 – 11233HS

Proactive.IT Appointments Limited

London

Remote

GBP 100,000 - 125,000

Full time

Today
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Job summary

A leading recruitment agency in London seeks an experienced Model Developer. The ideal candidate will develop and maintain pricing models in Python and have experience with the Hyperexponential platform. An actuarial background is a plus. This remote role offers a dynamic work environment in the London Markets Insurance sector.

Qualifications

  • Experience of developing and maintaining pricing models in Python.
  • Actuarial background with hands-on development experience is suitable.

Responsibilities

  • Develop and maintain pricing models in Python.
  • Build algorithms and user interfaces.

Skills

Hyperexponential (HX) platform / hx Renew
Python development experience
Building Algorithms and UIs
Experience developing models for London Market classes of business
Job description
Overview

11233HS

Market related

Role

Model Developer – hx Renew

Remote / Outside IR35

Role description

We are working with one of our biggest customers who are in the London Markets Insurance sector. We are looking for Model Developer who has experience of developing and maintaining pricing models in Python with HX / HX renew.

We are looking for someone who has used Python coding skills to build both the algorithm and the UI. A candidate with an Actuarial background with hands-on development experience would also be suitable.

Skills
  • Hyperexponential (HX) platform / hx Renew
  • Python development experience
  • Building Algorithms and UI’s
  • Experience developing models for London Market classes of business
Application Note

Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted.

Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation

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