Willis Towers Watson Actuarial Analyst – Longevity and Demographic Risks in Reigate, United Kingdom

Actuarial Analyst – Longevity and Demographic Risks

Date Posted: March 20, 2018


Not ready to Apply? at https://willistowerswatson.avature.net/WTWTalentNetwork


If you are looking for a career and employer that will test you, encourage you to take responsibility and demand innovative thinking, then an actuarial career in Life Insurance Consulting at Willis Towers Watson is for you.

As an Actuarial Analyst, you will work with some of the insurance industry’s top consultants, thought leaders and life company clients while you progress towards qualifying as an actuary. At Willis Towers Watson, we do not view our actuarial students as a commodity but rather an investment in the business leaders of the future.

The Role

You will have immediate exposure to real client assignments that will draw on your imagination and creativity as well as your ability to analyse data, draw conclusions and present results. While client assignments will form a large portion of your daily work, we will encourage you to get involved in the development of intellectual capital, helping to ensure that we retain our reputation at the precipice of the UK insurance market. You will be exposed to traditional life insurance actuarial work as well as cutting edge techniques and software, with a focus on work related to longevity and demographic risks. These experiences will help build your technical knowledge and overall industry expertise while you benefit from one of the industry’s most comprehensive actuarial training and development programmes. At the same time, you will begin to build your network of peers within the industry to support our business generation activities.

Your main responsibilities will be as follows:


  • Develop skills in market leading actuarial software packages and techniques for the purposes of mortality/longevity modelling for pricing and regulatory/economic capital purposes, assumption setting and review, and helping to design and implement novel solutions to the modelling of mortality, morbidity and other demographic risks.

  • Collaborate with consultants to provide support on life insurance-related client projects, including validation of internal models of demographic risks, reviewing/critiquing demographic assumptions, M&A appraisal valuations, applications of our proprietary medical modelling software and longevity risk management advice.

  • Ensure appropriate and effective communication among team members and the client via various mediums including email, conference calls and face to face meetings.


  • Build strong, supportive relationships internally, both with associates more junior than yourself and with seniors.

  • Demonstrate natural ease and effectiveness when dealing with clients/colleagues at all levels whether in client meetings, on-site secondments at client sites or internal project meetings.

  • Take initiative at an early stage and begin to build your network of peers within the industry.


  • Develop professional expertise by progressing towards qualification as an actuary.

  • Deliver projects that exceed client expectations, with specific focus on project management skills.

  • Continually seek process and efficiency improvement opportunities in all projects.

  • Involvement in research and development initiatives to develop and enhance future sales propositions and internal firm knowledge to maintain our principal position in the market.


  • Contribute to sales and marketing efforts by assisting in the drafting of proposals, presentations and pitches.

  • Focus on personal billable hours targets and monitor other financial aspects of projects.

The Requirements

We are looking for candidates with the following qualifications and skills:

  • A minimum of a 2:1 honours degree in any numerate/scientific discipline and successfully studying towards an FIA/FFA qualification (though a post-graduate qualification would be desirable).

  • Experience of working on a mortality/longevity product pricing, bulk annuity pricing or capital modelling team with a focus on mortality rates or modelling of demographic risks.

  • Experience of conducting A/E analyses or fitting statistical models to mortality, demographic or investment data.

  • Some familiarity with modelling techniques: this could be one or more of GLMs, probabilistic graphical models, multi-state models (e.g. Markov chain models), survival models, etc.

  • Some familiarity with pricing tools (e.g. post code models) or internal models of longevity risk.

  • Desire to specialise in demographics (mortality/longevity, morbidity, marital status and behavioural risks).

  • Interest in contributing to innovation and development of intellectual capital.

  • Some awareness of current longevity-related issues in the insurance industry (or in DB pensions) would be desirable.

  • Those who proactively take initiative and are able to identify and solve multifaceted problems in a logical, systematic way.

  • Strong communication skills; in particular the ability to communicate complex concepts to a broad range of audiences.

  • A dedication to work to achieve the highest quality standards whilst working both independently and on client teams, in a fast-paced environment.

  • Good time management and organisational skills.

  • Strong Microsoft Office skills, particularly Excel.

  • Some basic familiarity with statistical modelling software (e.g. R, SAS or MatLab) would be advantageous, but is not essential.

  • Availability to travel on an as needed basis, domestically and internationally.

  • An interest in the commercial impact of business generation, project delivery and team productivity within the consulting environment.

The Company

Willis Towers Watson is a leading global advisory, broking and solutions company that helps clients around the world turn risk into a path for growth. With roots dating to 1828, Willis Towers Watson has 40,000 employees serving more than 140 countries. We design and deliver solutions that manage risk, optimize benefits, cultivate talent, and expand the power of capital to protect and strengthen institutions and individuals. Our unique perspective allows us to see the critical intersections between talent, assets and ideas – the dynamic formula that drives business performance. Together, we unlock potential. Learn more at willistowerswatson.com.

Willis Towers Watson is an equal opportunity employer

Willis Towers Watson believes that effectively managing a diverse workforce is vital to our business strategy. We have an obligation to our organization, ourselves and our clients to hire and develop the best people we can find. We will continually review our policies and practices to ensure that all areas of the employment process (including recruiting, hiring, work assignments, compensation, benefits, promotions, transfers, company-sponsored development programs and overall workplace experience) are free from discriminatory practices. We are committed to equal employment opportunities at Willis Towers Watson.

Unsolicited Contact: Any unsolicited resumes/candidate profiles submitted through our web site or to personal e-mail accounts of employees of Willis Towers Watson are considered property of Willis Towers Watson and are not subject to payment of agency fees. In order to be an authorized Recruitment Agency/Search Firm for Willis Towers Watson, any such agency must have an existing formal written agreement signed by an authorized Willis Towers Watson recruiter and an active working relationship with the organization. Resumes must be submitted according to our candidate submission process, which includes being actively engaged on the particular search. Likewise, for our authorized Recruitment Agencies/Search Firms, if the candidate submission process is not followed, no agency fees will be paid by Willis Towers Watson. Willis Towers Watson is an equal opportunity employer.


Not ready to Apply? at https://willistowerswatson.avature.net/WTWTalentNetwork


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  • Location:Reigate, England, GB

  • Date Posted:March 20, 2018