About the role
We are seeking a pricing actuary, pricing manager or data science manager from a non-life insurance background to join our Risk Modelling practice. You’ll work on general insurance pricing projects across the London/Lloyd’s market and/or the Personal & Commercial lines market in both the UK as well as on global opportunities. You will also work on multidisciplinary projects around areas such as transactions, organisational transformation, governance reviews and data science projects. You’ll be open to new challenges, self-motivated, agile and be able to leverage your existing knowledge of insurance pricing.
About the team
The PwC Risk Modelling practice comprises of over 300 partners and staff. With offices in London, Edinburgh, Manchester, Bristol and Mumbai, our consultants focus on non-life, life, banking and non-insurance, led by a fifteen strong partner team. This makes us the largest actuarial practice within the large accounting firms, deploying our modelling capabilities off a variety of actuarial and non-actuarial areas. We play the leading role in the 1000+ strong actuarial community in PwC worldwide and often work with specialists from other disciplines within PwC.
You’ll be able manage and deliver high quality output whilst working on a wide range of concurrent technical and non-technical assignments.
You’ll interact with clients, leading these discussions, and you will support the senior leadership team to develop long term relationships.
You’ll have the opportunity to work in multidisciplinary teams and with people from our network firms overseas.
You’ll take an active role in supporting the strategic management and running of the practice, by being involved in developing one of our core product areas.
You will be able to manage your time and the time of more junior staff and to ensure that projects are delivered to a high standard in a timely manner.
You’ll be involved in the development of more junior staff through on the job coaching.
Good understanding of and proven ability to develop pricing and underwriting models for use in insurance pricing.
Experience leading and delivering projects within a pricing environment, with a proven ability to manage and prioritise concurrent demands.
A knowledge of machine learning techniques is highly desirable, including the ability to design, develop and deploy advanced analytical solutions for pricing.
Strong coding experience including a working knowledge of some or all of: R, python, SAS, SQL, Hive, Spark.
Highly desirable to have a practical experience working in a general insurance pricing team either as an employee or on secondment from a consulting role.
An awareness of pricing-orientated and regulatory issues faced by the market and a good working knowledge of how regulatory challenges can be allowed for in insurance pricing.
Experience working as part of multidisciplinary teams, taking responsibility for meeting key milestones and for the delivery of technical work.
The ability to communicate technical content in a confident, clear and concise manner.
Wider commercial awareness, including the understanding of wider business issues facing the insurance industry.
Whilst this role will involve working as part of a broader actuarial team, we would welcome applications from non-actuaries and part qualified actuaries who may or may not still be sitting exams, as well as qualified actuaries.