Insurance & Risk Modelling | Remote

Do you have a background in epidemiology, biostatistics, medical statistics, or a related discipline and a passion for building innovative mortality, longevity, and morbidity risk models that influence real-world decisions? Join Crystallise Ltd as our Senior Modeller and be part of our growing insurance modelling team. This role will be pivotal to our expanding work on model parameterisation and development for the insurance industry, including underwriting annuities and regulatory modelling under Solvency II.

About the Role

As our Senior Modeller, you will be able to work independently to develop, review, and parameterise complex risk models and contribute innovative ideas for meeting the complex and varied challenges we face. You will work alongside a multidisciplinary team of experts to provide cutting-edge solutions for our insurance and pensions clients. Your work will directly influence underwriting strategies and regulatory compliance, ensuring robust and innovative modelling frameworks.

As a key part of a small focused team, you will have the opportunity to develop your own technical expertise and make a unique impact to project strategy and process, as well as contribute to shaping the company culture.

Key Responsibilities

• Develop and refine mortality, longevity, and morbidity risk models tailored for insurance applications.
• Support the development of software tools and models to support our work in the pharmaceuticals sector.
• Parameterise and validate models in line with underwriting and regulatory (Solvency II) requirements.
• Collaborate with actuaries and other modelling specialists to integrate epidemiological and biomedical data into risk frameworks.
• Analyse emerging data and industry trends to enhance model accuracy and predictive performance.
• Document methodologies, assumptions, and model outcomes, ensuring transparency and reproducibility.
• Provide expert advice to clients and support internal teams with technical insights and model interpretation.

Aptitudes and Interests

• A strong analytical mindset with an affinity for quantitative problem-solving and data-driven decision making.
• Passion for integrating epidemiological, medical, and statistical insights into complex risk models.
• An eye for detail and commitment to rigorous model validation and documentation.
• Ability to work independently and collaboratively in a fast-paced, multidisciplinary environment.
• Enthusiasm for staying abreast of industry developments in insurance, risk modelling, and biomedical research.

Skills and Experience

• A degree in Epidemiology, Medical Statistics, Biomedical Sciences, or a related discipline.
• At least five years experience in developing and applying quantitative models.
• Experience of modelling in the insurance sector is an advantage, though not a requirement.
• Demonstrable expertise in statistical analysis, data interpretation, and software-based model development.
• Familiarity with actuarial principles and the regulatory frameworks governing the insurance industry is advantageous, though not necessary.
• Very experienced in using Excel and R. Competence in python is a plus, and we encourage learning in this area.
• Excellent written and verbal communication skills, with the ability to clearly present complex technical concepts.

Location & Salary

This is a full-time, remote working position, with allowance for flexible working hours around family commitments. Candidates need not be based in the UK, but must be based within one time zone either side of GMT. We ensure remote collaboration is seamless with regular video calls for team discussions and knowledge-sharing sessions. We also organise bi-annual in-person company strategy days.

Salary will be competitive and commensurate with experience. There is a 5-day and £750 training allowance per year and three paid days volunteering for the public good.

Application Process

Shortlisted candidates will be invited to complete a technical modelling task to explore their expertise, creativity and lateral thinking. Successful applicants will then be invited for an interview with our senior team.

About Crystallise Ltd

Established as a trusted partner to the pharmaceutical, healthcare, and insurance sectors, Crystallise Ltd has over a decade of experience delivering systematic literature reviews and sophisticated risk modelling solutions. Our team’s collective expertise spans over 60 years in systematic reviews, clinical practice, research, and insurance modelling.

Our Vision: Crystallising medical evidence to improve decision making.

Our Mission: To make the synthesis and analysis of biomedical evidence more efficient, objective and reliable.

Our values:

• Inclusiveness: Opportunities are provided according to ability and not background. We play to people’s strengths and recognise that diversity in the team and a cooperative culture makes us more than the sum of our parts.
• Social responsibility: The company should serve a social purpose as well as a commercial one. We should maximise the common good we can provide and minimise any harms from our activities. We should value and nurture our clients and team members.
• Innovation: We should take risks to explore new ways of working to keep improving quality and efficiency.
• Integrity: We should endeavour to act responsibly, honourably, fairly, conscientiously and justly – not just legally – in all our actions.
• Reliability: Delivering what we said we would – when we said we would.

For further information or to submit your application, please contact our recruitment team at [contact@crystallise.com]. We look forward to hearing from you.