Pensions Data Science Actuary

Actuarial Futures; Greater London; On-site; GBP 100,000 - 125,000; Full time

Job summary

A leading actuarial firm in the Greater London area is seeking talented Actuarial Pensions Analysts who are passionate about using data science to enhance pension schemes. The successful candidate will develop data-driven models, collaborate with teams, and conduct in-depth analyses to identify trends and risks in pension data. This newly created opportunity promises to enrich your career while making impactful contributions in the pensions industry. Join us to shape the future of pensions with data-driven insights.

Qualifications

• Experience in developing data-driven models for pension analysis.
• Ability to collaborate with teams to implement data science solutions.
• Strong analytical skills for interpreting pension data.

Responsibilities

• Enhance pension schemes through advanced data analytics.
• Conduct analysis to identify trends and risks in pension data.
• Provide insights and recommendations to support decision-making.

Skills

Data-driven modeling

Collaboration

Data analysis

Actuarial insights

Job description

Are you dedicated to providing innovative solutions in the pensions industry? We are looking for talented, techy actuarial pensions actuaies who are passionate about leveraging data science to drive impactful results.

In this super, newly created opportunity, your mission will be to enhance pension schemes through advanced data analytics.

The successful candidate will have experience of the following:

• Developing and implementing data-driven models to analyse and optimise pension schemes.
• Collaborate with cross-functional teams to integrate data science solutions into actuarial processes.
• Conduct in-depth analysis of pension data to identify trends, risks, and opportunities.
• Provide actuarial insights and recommendations based on data analysis to support decision-making.
• Stay updated with the latest advancements in data science and actuarial practices to continuously improve methodologies.

Please get in touch for further details.