The Chief Pricing Actuary of the future

The Chief Pricing Actuary of the future will blend classic actuarial expertise with new technical proficiencies and leadership skills. In this post, we’ll explore how the skillset is evolving (especially in General Insurance and the Lloyd’s market) and what emerging competencies will be crucial for success. We’ll also contrast these future needs with the skills of the past to see how the profession is changing both for junior actuaries and senior leaders alike.

Across the market, we are already seeing a clear shift towards transformation programmes that prioritise modern technology, data infrastructure, and more sophisticated modelling approaches. Insurers, particularly in the London Market and Lloyd’s, are investing heavily in pricing platforms, cloud-based data environments, and advanced analytics capabilities.

What was once considered innovative, such as machine learning-driven pricing or fully version-controlled model development, is rapidly becoming table stakes. This shift is being driven not only by competitive pressure but also by the need for greater speed, transparency, and governance in decision-making.

However, there is an important distinction between awareness and execution that is often overlooked. We’re not suggesting that Chief Pricing Actuaries should be managing Git repositories, or building automated test suites themselves. Instead, the expectation is that they understand the processes and principles that sit beneath these practices.

That awareness enables them to ask the right questions, challenge assumptions, and make informed decisions about how their teams build and maintain models. In a landscape where technical complexity is increasing, the role of the Chief Pricing Actuary is not about doing the work directly, but ensuring the work is being done in line with best practices.

Emerging technical skills

Actuaries’ tools have come a long way. For decades, an actuary’s tech stack revolved around Excel, legacy systems and the odd piece of actuarial software. Today, actuaries increasingly using open-source languages like Python and R for sophisticated modelling. In fact, industry surveys show actuaries are keen to advance their coding skills in Python, R, and SQL.

Beyond this, actuaries are also increasingly needing to be cognisant of modern technology production processes such as version control and testing pipelines. We would outline the emerging technical skills as follows:

Coding & AI tools

A solid grasp of programming and data engineering is increasingly expected. The actuarial profession has had formal coding in R as part of its exams for several years. As Chief Pricing Actuaries, there might not be a need to be fluent in Python or R, but being able to understand how tools are developed and being fluent-enough to ask teams the right questions is becoming paramount.

For example, in non-life pricing, actuaries and data scientists now work side by side, using generalized linear models and ML techniques like gradient boosting machines to improve model accuracy. To stay credible, tomorrow’s Chief Pricing Actuary must keep up with such advancements and be able to understand how these tools fit into the actuarial workflow and be prepared to interrogate their usage.

Version Control (Git)

Modern development of pricing tools is a team sport, and version control is essential for collaboration and model governance. Actuaries are learning key lessons from software developers - for example that using Git to track code changes is the industry standard process for controlling model risk. By adopting Git, a team of actuarial developers can merge code, guarantee they’re using the correct version of a model and roll back to a previous version if something goes wrong.

For a Chief Pricing Actuary, understanding what a good Git workflow looks like and knowing how to do basic operations in GitHub or Azure DevOps is becoming more and more important.

Testing and Quality Assurance

Actuaries will be aware of Technical Actuarial Standards (TASs), which in the context of models, requires sufficient review and testing to be in place. The landscape of code based testing is well established in software development, and actuarial developers are increasingly adopting the practices and culture of testing and validation from software development disciplines. Practices like unit testing and test-driven development (TDD) are making their way into actuarial work.

Writing automated tests for models helps catch errors early and reduces the cost and resource drain of fire-fighting to fix bugs later in the development cycle. Moreover, tests serve as live documentation of how a model should behave, which is invaluable for onboarding new team members or validating model changes in an audit, or when changes are being driven by AI code generation.

While an actuary need not be a full-fledged software engineer, understanding these testing principles allows Chief Pricing Actuaries to ensure their team’s models are reliable and robust before they inform business decisions.

Continuous Integration & Deployment (CI/CD)

Tied to version control and testing is the idea of automation. Forward-looking insurers are beginning to adopt CI/CD pipelines for their models. For example, automatically running test suites whenever a model code change is updated, and even deploying approved changes into production systems in a credential controlled process.

A future Chief Pricing Actuary might not set up CI/CD themselves, but they will need to understand its value in maintaining model stability. Embracing these practices accelerates the model development cycle, enabling actuarial teams to keep their models functional and updated on a very rapid basis and ultimately empowering optimal underwriter decisions.

Best practices from software development

Actuarial models are essentially becoming more akin to software products, and treating them as such will lead to better outcomes. The Chief Pricing Actuary of tomorrow will promote best practices from the software development lifecycle (SDLC), from user-driven design and modular development to peer code reviews and allowance for refactoring. Regular code reviews and pair programming instil quality and knowledge-sharing in the team, while optimisation and refactoring efforts are essential to keep complex models maintainable over time.

User Interface and Experience (UI/UX)

As pricing models increasingly move from spreadsheets into production systems and platforms, the way underwriters interact with models becomes just as important as the methodology behind them. A well designed user interface can dramatically improve adoption and decision quality. Future Chief Actuaries will need to think carefully about the user experience of a model, ensuring interfaces are intuitive and aligned with real underwriting workflows.

This means clearly presenting all necessary data at the point of pricing, surfacing uncertainty and sensitivities at the appropriate time, and avoiding unnecessary complexity that slows down decision making. Underwriters often operate under significant time pressure, so tools must be designed with their practical needs in mind. By being aware of usability and clarity, actuarial teams can ensure their sophisticated models genuinely support underwriting judgements.

The Chief Pricing Actuary of the future will wear a bit of a “tech hat”. They are not coding every algorithm, but leading a tech-savvy actuarial function. They’ll ensure their team uses modern tools (from AI code generation, to Git repositories and automated tests) so that pricing models, reserving analyses, and forecasts are built with the same rigor as other software products.

This shift is already underway and those who don’t adapt risk falling behind the curve of progress in both their career and what the market demands from pricing and underwriting workflows.

Enduring soft skills

While technical skills are rising in importance, they do not eclipse the timeless "soft" skills. If anything, these skills become more crucial in a world where human interaction and organisational complexity are growing. A telling example: while technical innovation and AI tools unlock enormous potential, the primary blocker to effective adoption and return on investment is rarely the technology itself, it is the human element.

Change management, which sits at the intersection of leadership, planning, and people, provides the structured approach needed to build confidence, smooth transitions, and minimise disruption. Yet despite its critical importance, it is frequently overlooked in transformation initiatives, directly determining whether those efforts succeed or fail. For a Chief Pricing Actuary, these capabilities include:

Communication

The ability to distil complex analysis into clear, compelling insights for business leaders has always been vital, and will remain so. Whether explaining an AI model’s results to the board or translating regulatory capital requirements for non-actuarial executives, the Chief Pricing Actuary must be a superb communicator. Future actuaries will continue to hone skills in data visualization and storytelling, ensuring that actuarial insights drive action.

Business Acumen and Strategic Thinking

Tomorrow’s Chief Pricing Actuary is as much a business strategist as a mathematician. They need a broad understanding of insurance markets, company finances, and competitive dynamics. In general insurance especially, they must link actuarial work to business outcomes – for example, how pricing strategy affects growth, or how reserve levels impact earnings and capital. In essence, the Chief Pricing Actuary of the future sits at the strategy table, ensuring that the actuarial perspective is front-and-centre in corporate planning.

Leadership and Talent Development

Climbing to the heights of a Chief Pricing Actuary role has always required leadership ability. Going forward, this means not only managing a group of actuaries, but building an interdisciplinary team (actuaries, data scientists, software developers, analysts) and fostering a culture of innovation.

Future-focused Chief Pricing Actuaries will carve out time and space for their teams to learn new skills and create an environment of continuous learning. They encourage cross-pollination of ideas: for example, pairing actuaries with data scientists on projects, or embedding an underwriter in an actuarial sprint to improve mutual understanding. Moreover, they plan for the future by mentoring successors and upskilling their people to succeed in the new era of AI and technology-driven pricing.

Collaboration & Relationship-Building

Insurance has always been a collaborative enterprise: pricing requires input from underwriting, finance, and claims; new products involve marketing, legal, etc. The Chief Pricing Actuary of tomorrow must be adept at building relationships across all these functions. This is even more important as technology blurs roles, for example actuaries are now working with IT on data pipelines and with innovation teams on InsurTech partnerships.

Agility, Curiosity, and Empathy

The pace of change means a Chief Pricing Actuary must be adaptable and willing to continuously learn. Having intellectual curiosity ensures they explore new methods rather than sticking only to “the way we’ve always done it.” Empathy and emotional intelligence help in managing teams through organisational change and in understanding customer or societal needs behind the data. These human skills cannot be easily automated or replaced, making them key to the Chief Pricing Actuary’s unique value.

Ultimately, while tools and technologies will continue to evolve, these human capabilities remain the foundation of effective actuarial leadership. Technical expertise may build the models, but curiosity, communication and judgement ensure those models create real value.

A blend of skills

By blending the best of the past (rigor, ethics, business knowledge) with the new skills of the future (technology, analytics, agile leadership), Chief Actuaries will maximise their impact in steering insurers safely and profitably through the future. The technical challenges may be new, but with the right skills, the Chief Pricing Actuary of the future will turn them into opportunities for their companies and the customers they serve.

If you’re looking to bring more rigorous software development practices into actuarial modelling, from version control and testing through to production-ready pricing models, it may be time to rethink the tools your team is using. The hx platform is designed specifically to support modern actuarial development workflows. If you’re interested in seeing how this works in practice, feel free to book a demo with us.

And if you’re already innovating and want to continue building your skills, or help your team stay up to date with emerging techniques, you might find the hx Academy useful. It offers a range of courses covering modern pricing practices, modelling approaches and technical skills, and is open to both hyperexponential customers and non-customers alike.