Trainee Actuarial Analyst
Have you ever thought about working as an analyst and in the heart of government? Do you enjoy analysing large datasets and helping others to make decisions that will have long-term implications for the country?
GAD is at the centre of actuarial expertise within government providing advice and analysis to government across a range of significant policy initiatives. We enable government to better understand and quantify risks and in turn result in better outcomes for the UK public.
We are looking for motivated individuals to join our analytical team.
- A level (or equivalent) mathematics at grade B or above
What the role is about
As a Trainee Actuarial Analyst, you will play a crucial role at the Government Actuary’s Department (GAD) by working with other professionals to produce high quality advice and analysis for government. This will include producing and translating analysis to government across a range of areas including:
- Applying modern analytical techniques to allow government to better understand and manage risks for important policies affecting the entire UK
- The management of costs and risks across the public service workforce, including the design and operation of public service pension schemes
- Understanding insurance risks and costs affecting government, including clinical negligence in the NHS
- Bespoke advice on financial and demographic risks facing government, including social security benefits
- Build robust analytical models and tools which will be used to automate analysis, help GAD’s clients better understand our advice and allow members of the public to calculate their individual financial impact of government policies and benefits.
- Analyse data to gauge its quality and suitability, understand developing trends and process the data to feed into advice.
- Manage your time to deliver your analysis to time and budget; you may also be responsible for project management.
- Proactively develop your knowledge and understand data science and analysis as well as the context of GAD’s advice to government clients.
- Identify and suggest new ways of working and areas where GAD can provide advice.
- Work within GAD’s professional standards and departmental procedures and guidance notes.
- Use MS Office and modern data science languages such as R and Python to carry out analysis and prepare advice for clients.
Our goal is to integrate modern analytical and actuarial techniques into the business of government to achieve better outcomes for decision-makers and the public.
Typical areas of our work include the effective management of social security, pensions, and risk-pooling arrangements, as well as bespoke advice including disaster risk protection.
GAD is an inclusive organisation which values the strength of a diverse team, supported through staff networks and an active Diversity and Inclusion strategy. We encourage everyone to apply to join us.
Work as a Trainee Actuarial Analyst
As a Trainee Actuarial Analyst at GAD we will support you in developing your analytical expertise in technical concepts including actuarial methodology, data science and machine learning. We will help you build your expertise in R and Python to help carry out this analysis. You will also develop project and delivery management skills. This support will be given through on-the-job experience, formal training, and the opportunity to carry out a degree-level data science apprenticeship.
There are also several opportunities for analysts to go on secondment with major government departments. We encourage all our analysts to undertake these secondments to help broaden their skills and see how analysis is used across the public sector.
GAD is an active member of the government’s Analysis Function, which seeks to bring the 14,000 analysts across government together. The Function will allow you to build networks with other analysts in government and gain insights from cross-government training and development. which brings together.
Government has a wide need for actuarial advice which is growing over time as the world becomes more complex. GAD’s staff need to be equipped to work across a range of different areas to rise to the challenges of the future.
What’s in it for you
- The opportunity to work on unique projects, clients and challenges which make a difference for the UK public.
- The ability to have great work-life balance, with flexitime working and support to allow you to work in a hybrid manner at home and our London office.
- Access to a wide range of training opportunities to develop your career as an analyst in government.
- A great benefit package, including access to a generous defined benefit pension scheme.
- 25 days annual leave per year, increasing to 30 days after 5 years’ service. In addition, we offer 9 days public and privilege days leave per year (pro rata for part time staff)
- Generous defined benefit Civil Service pension scheme.
- Access to employee assistance programme and occupational health.
- Family-friendly policies such as help with caring responsibilities, special leave, generous paid maternity, paternity, and adoption leave.
If you can see yourself working as an Analyst for the Government Actuary’s Department, please apply now.
This job is broadly open to the following groups:
- UK nationals
- Nationals of Commonwealth countries who have the right to work in the UK
- Nationals of the Republic of Ireland
- Nationals from the EU, EEA or Switzerland with (or eligible for) status under the European Union
- Settlement Scheme (EUSS)
- Relevant EU, EEA, Swiss or Turkish nationals working in the Civil Service
- Relevant EU, EEA, Swiss or Turkish nationals who have built up the right to work in the Civil Service
- Certain family members of the relevant EU, EEA, Swiss or Turkish nationals
Government Actuary’s Department
We advise government on significant policy initiatives where understanding and quantifying financial risks are critical elements of good decision-making. In particular we provide advice on pensions, student loans and risk-pooling arrangements such as those for clinical negligence claims.
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