We bring our risk and analytical skills, along with predictive insights, to the Financial Services and Corporate sector. We help clients understand and assess significant and complex risks – providing confidence and enabling them to act decisively.
The Risk Modelling Services (RMS) team has offices in London, Edinburgh, Manchester, Bristol and Mumbai. Within the team we have a blend of actuaries, data scientists and advanced analytics practitioners who apply cutting edge technology to solve a variety of client problems. We're one of the largest growth areas within our Risk Assurance practice, working across a broad range of clients in sectors including insurance, healthcare, banking, investments, commercial and government.
Our people are encouraged to take responsibility at an early stage and proactively develop their career. We seek to develop accomplished consultants who are able to correctly anticipate our clients needs, not just technically strong analysts. This means exposure to a wide range of project situations, often working with specialists from other disciplines within PwC such as Transaction Services, Regulatory, Risk Advisory, Corporate Finance, Business Recovery/Restructuring, Cyber, Forensics and Tax.
We have two pathways in Risk Modelling Services.
On the Actuarial Services pathway:
Actuaries work with uncertainty. You’ll help clients analyse how future events could affect them. You’ll work with clients from the insurance industry (both life and general insurance), but also from the banking sector (retail and investment), the healthcare sector, the public sector, as well as corporate clients from the non‑financial services sector like energy and utility providers. Through the work you do, you will develop key consultancy skills and creative thinking to provide advice to our clients. It could cover everything from managing economic capital, risk management, mergers and acquisitions to company restructures, financial modelling and the viability of new products.
For more information on joining this team, the actuarial services programme, including professional qualification and academic requirements, please click here.
On the Analytics pathway:
We're looking for people with a passion for big data, modelling and data science who also have an interest in risk. No two projects will be the same and you will gain access to a multitude of skills and industries. Your responsibilities will include but not be limited to:
When you join the Analytics team on our Risk Modelling Services programme, you’ll have the benefit from training on our latest big data, modelling and visualisation tools and have access to our firmwide digital upskilling programmes throughout your graduate programme.
You'll need to have or be on course for a 2.1. degree or above in any subject. We determine whether you're on course for a 2.1. based on the grades you achieved in your last completed year of academic study. The subject of your degree is not important; however, you'll need to demonstrate a passion for a career in technology and how organisations use it.
We also have opportunities to join our Actuarial team in Mumbai. Click here to find out more.
As an associate within Risk Modelling Services, you will work on a variety of clients so you build a global commercial awareness across different financial and non-financial institutions. From day 1, you’ll have project management responsibilities and will be given opportunities to present the results of your modelling and analytics to senior colleagues and clients. To support you in your training, you will be given dedicated time off for learning and development. As well as a study mentor, you’ll have a network of other associates there for support.
Risk Modelling Services is proud of it’s inclusive culture and has a strong focus on well-being. An important job for an associate is to organise social events for their team that could range from go-karting, escape rooms or dinner out.
The era of AI is an exciting time to start a career within Risk Modelling Services. With access to data increasing, so is the demand for data science and modelling expertise. The growing capability of machine learning reduces the time spent processing and cleansing data, and increases the focus to modelling assumptions and results. The crucial skill of a consultant will be the ability to demystify these models to clients and clearly communicate the conclusions that can be drawn from data trends.
Tech innovation also has a number of indirect impacts. For example, how do you assess the likelihood and financial impact of a successful hacker in order to quantify Cyber risks? How do you quantify risks in a driverless car? How will the use of technology in medical treatment affect future mortality rates?