Actuary, Research & Development – 28620

The Emerald Group; City Of London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading analytics firm in London seeks a software developer to create and sustain forecasting models for mortality analysis. The role requires proficiency in R or Python and a strong analytical background. Candidates should have experience engaging with stakeholders and a familiarity with demographic research. This is a permanent position offering opportunities to work across various business units globally.

Qualifications

• Work experience in an analytical role.
• Exposure to actuarial teams in the insurance industry.
• Ability to prioritize projects based on stakeholder needs.

Responsibilities

• Develop and maintain code for mortality data analysis.
• Troubleshoot issues with forecasting models.
• Engage with stakeholders to communicate tool functionalities.

Skills

High quality coding in R or Python

Demographic/biometric research experience

Experience in an analytical role

Stakeholder engagement

Education

Qualified or part-qualified actuary

Tools

R

Python

Job description

The successful candidate will play a key role in developing and maintaining the codebase required for loading, manipulating, analysing, and visualizing mortality/longevity/improvements data, and a suite of forecasting models developed locally and served to business units across the globe

• Location: London
• Category: Research & Development
• Type: Permanent

Key Duties (Including but not limited to):

• Builds and maintains software related to modelling and forecasting mortality rates and future improvements in the markets and geographies in which the Company writes business
• Works with stakeholders across the business to help them understand the tools and models that are on offer, and troubleshoot any issues that arise
• Writes high quality code in R or Python and understands how to structure what they write such that it is readable, maintainable, and reusable
• Works with a range of stakeholders across the organization to understand their needs and prioritize potential projects
• Qualified or part-qualified actuary
• Work (or postgraduate research) experience in an analytical role
• Experience of demographic/biometric research or assumption setting
• Experience of using R or python in a work or research environment
• Exposure to working in and/or with Actuarial teams in the insurance industry