Why a Career in Actuarial, Rewards & Analytics? has been saved
Why a Career in Actuarial, Rewards & Analytics?
Join our leading actuarial practice and apply your skills in projects reaching beyond traditional actuarial boundaries. You'll work with colleagues and clients in Consulting, Corporate Finance, Tax and Audit - exposing you to leading-edge actuarial work in a strategic, commercial and business context.
We welcome graduates from all numerical and programming disciplines, so if you are looking for an innovative, challenging and dynamic environment to develop your potential, Actuarial, Rewards & Analytics is the place for you.
What is Actuarial, Rewards & Analytics?
Our Actuarial, Rewards and Analytics (ARA) practice in Ireland is making an impact as one of Ireland’s leading actuarial service providers. Our team of 30+ actuarial professionals provide expertise and advice to clients throughout the life cycles of their businesses. We work with a range of domestic and international clients, including life and non-life insurance companies and reinsurance companies, as well as banks and public bodies.
The ARA department is led by our Actuarial Partner, Ciara Regan, who has over 25 years’ experience in the insurance and reinsurance industry. Our senior actuaries are committed to the development of new talent and are keen to share their wealth of consulting and industry developed by working with and within a diverse range of companies.
You will have the opportunity to work on all aspects of interesting projects from start to finish. You will be hands-on in a full range of actuarial projects including model design & development; analytics analysis of stakeholder behaviour, product performance and process efficiency; statistical analysis of hypotheses, optimisation of models, systems and processes; operational excellence; risk management and traditional actuarial services (e.g. valuation, pricing, Head of Actuarial Function, audit). As part of Deloitte, you will work closely with our colleagues in Risk Advisory , Audit & Assurance, Management Consulting, Tax, Financial Advisory and Corporate and Legal Services to deliver end-to-end solutions to our clients.
Our Actuarial Modelling Centre (AMC) is our centre of excellence for actuarial modelling, data warehousing and business intelligence solutions. The AMC tackles all stages of the modelling life-cycle from specification and design through development and optimization and on to implementation and system integration. We support major modelling platforms and languages to meet the needs of our clients in respect of cashflow modelling (deterministic and stochastic); credit risk modelling; impairment modelling and securitisation modelling, amongst others.
As part of one of the world’s largest actuarial practices, we have access to over 800 actuarial professionals worldwide which ensures that we can secure the specialist knowledge and expertise our clients require.
The work is only one aspect of life at Deloitte. Aside from being a fast-paced work environment, it is a fun environment, with a great collection of diverse, young student actuaries.
Find out more:
Analysts in Deloitte’s ARA team make an impact from day one. After the initial induction and technical training, you will dive straight into client projects.
As a member of Deloitte’s ARA team, you will gain significant experience in the insurance and reinsurance industry but you will also be involved in projects for other clients including those in banking, retail and manufacturing. You will apply actuarial skills and analytic techniques to a wide range of scenarios and industries. For example, you can expect to gain experience in the following areas:
- Delivering end-to-end innovative solutions to our clients
- Applying problem solving and numerical skills to solve a wide-range of problems
- Designing and building complex models of long-term risks, asset and liability cashflows and credit defaults.
- Developing analytical tools using a variety of programming languages (VBA, R, Python, SAS, SQL etc.).
- Working with senior client personnel to develop their business ideas, respond to emerging issues and/or prepare for future challenges.
- Development and/or review of controls and procedures for mitigating risks faced by clients.
- Assessing the appropriateness of client processes and controls in light of the regulatory and accounting financial frameworks of Solvency II and IFRS 17.
- Audit of actuarial liabilities for (re)insurers and pension schemes under a number of reporting bases.
Our commitment to the professional development of our people is absolute. Focused on technical, client relationship and technology skills, and reinforced by on-the-job learning, our ‘lifelong’ tailored approach will ensure you continue to progress in your career and become the leader you know you can be.
Analysts within the Actuarial, Rewards & Analytics business complete the examinations to become a Fellow of the Institute & Faculty of Actuaries (IFoA) and a Fellow of the Society of Actuaries in Ireland (SAI).
From 2020, members of the ARA will also have the opportunities to undertake the IFoA’s Certificate in data science. While this will commonly be done alongside or shortly after the Fellowship qualification, there is scope for graduates with significant programming/machine learning skills to undertake the certificate in data science first or instead of the Fellowship.
Deloitte is committed to supporting our analysts through this course of study by providing on-the-job training to develop the competencies required of an Actuary and/or data scientist and through our professional education support programme. This programme provides generous paid study leave as well as all relevant study material and external tuition. The support provided both internally and through tutorials, combined with the dedication of our people has allowed our analysts to achieve high pass rates and to progress rapidly through the exams in recent years.
As well as gaining a recognised professional qualification, as an analyst you will discover all kinds of new business and technical skills, as well as everything you need to do your job and accelerate your career. Read more on our Learning Approach.
Applications are encouraged from all numerical and programming disciplines, including mathematics, statistics, actuarial science, engineering, analytics, physics, chemistry, economics, artificial intelligence and machine learning amongst others. Other requirements include:
- Achieved or are currently on target for a 2.1 honours degree or higher
- Achieved an A in Mathematics at Irish Leaving Certificate/Scottish Higher/A-level or equivalent
- Strong verbal and written communication skills
- Experience of programming, machine learning or artificial intelligence an advantage but not essential
- A proactive approach to work
- Ability to learn quickly
- A high level of self-motivation and commitment
- The ability to analyse and work through complex problems
- Flexibility, resilience and intellectual curiosity
- Ability to collaborate and work well within a team environment
- Demonstrated leadership and creative problem solving skills
- Ability to prioritise tasks, work on multiple assignments, and manage change
We offer competitive reward packages and a variety of benefits. The firm also offers a number of wellbeing programmes to reflect the balance of priorities in our people’s lives.
- 21 days annual leave rising with service plus 1 additional Deloitte Day (22 days total)
- Option to avail of up to 5 extra holiday days annually
- Compressed working week: 2pm finish on Fridays during June, July and August
- Bonus scheme
- Comprehensive professional education and study leave programme
- Discounted health insurance
- Life assurance
- Pension plan
- Paid professional subscription
- Graduation leave
- Advanced learning and development programmes
- Employee assistance programme
- Tax saver travel pass
- Cycle to work scheme
- Employee recognition awards
- Annual Corporate Responsibility Impact Day
- Deloitte Unplugged programme
- Corporate deals and discounts
Read more about Your Reward at Deloitte.
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