Technical Pricing Actuary

MBN Solutions; London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading company is seeking a Data Scientist with an actuarial background to join their high-impact team in London. This role involves enhancing pricing models through advanced statistical techniques and collaborating with various stakeholders on innovative projects in commercial insurance. Ideal candidates will have practical experience in R, actuarial qualifications, and a problem-solving mindset.

Qualifications

• 3+ years of practical experience with R and Tidyverse.
• Strong coding skills for complex modelling challenges.
• Experience with cloud technologies is a plus.

Responsibilities

• Enhancing actuarial models with statistical and machine learning techniques.
• Developing and optimising pricing models.
• Collaborating with stakeholders to improve modelling processes.

Skills

Statistical techniques

Machine learning

Stakeholder management

Problem-solving

Education

Actuarial qualification (FIA, AIA, CERA, FSA, or equivalent)

Tools

R

Python

AWS

Snowflake

Job description

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Are you a Data Scientist with a background as an Actuary?

Do you want to work in a high-impact hub team that optimises modelling processes and applies Bayesian techniques to commercial insurance?

We are looking for a skilled Data Scientist to join a centralised team, collaborating with Data Scientists, Python developers, Actuaries and senior insurance experts to drive innovation in pricing and risk assessment by developing GLM, Gradient Boost, Bayesian and Linear Regression models for pricing models.

What You’ll Be Doing:

• Enhancing actuarial models with advanced statistical and machine learning techniques.
• Developing and optimising pricing models using R, tidyverse, Python, and cloud-based tools like AWS and Snowflake.
• Working on a variety of global commercial lines projects, with some exposure to personal lines.
• Collaborating with stakeholders across the business to improve modelling processes and decision-making.
• Supporting the integration of Bayesian models into the pricing framework.

What We’re Looking For:

Must have:

• Actuarial background with (ideally a fully or partially qualified Actuary) (eg – FIA, AIA, CERA, FSA etc or equivalent)
• 3+ years of practical experience with R, Tidyverse

Bonus if you have:

• Experience with modern cloud technologies (AWS, Snowflake, etc.).
• Strong coding and problem-solving skills, with the ability to work on complex modelling challenges.
• Excellent stakeholder management and communication skills.

If you are ready to take on a role where you can apply your actuarial expertise and data science skills in a dynamic, forward-thinking environment, we’d love to hear from you.

Apply now or reach out for more details!