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Manager - Model/Systems Development

Eames Consulting

City Of London

On-site

GBP 50,000 - 70,000

Full time

27 days ago

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Job summary

A prominent consultancy firm in London is seeking talented systems/model development specialists. You will leverage your actuarial knowledge and programming skills (Python, R, SQL, Snowflake) to develop solutions focused on optimisation and process improvement. This role offers hands-on responsibilities with opportunities to mentor junior team members. Actuarial background is key, but FIA qualification is not essential.

Qualifications

  • Experience in systems/model development within the insurance sector.
  • Ability to work hands-on while mentoring junior team members.

Responsibilities

  • Develop solutions for clients using various models.
  • Focus on optimisation, automation and process improvement.
  • Manage and develop junior team members.

Skills

Actuarial knowledge
Python
R
SQL
Snowflake
Job description

Growing international insurance and risk consultancy is seeking talented systems/model development specialists who combine actuarial knowledge with expertise across a range of programming languages (e.g. Python, R, SQL, Snowflake)

As part of the Life actuarial team you will apply your technical skills and problem‑solving capabilities across a variety of models, developing solutions for clients.

Unlike large‑scale transformation projects seen in Big 4 consultancies, this team tends to work with self‑contained small builds with a focus on optimisation, automation and process improvement.

Recent projects have included BPA models to optimise investment strategy and asset/credit work.

There will also be the opportunity to manage and develop junior team members, providing guidance while remaining hands‑on.

An actuarial background is key but FIA qualification is not essential (happy to consider candidates qualified by experience)

Please get in touch for more details:

jo.frankham@eamesconsulting.com / 07460 141467

Eames Consulting is acting as an Employment Agency in relation to this vacancy.

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