Cape Town, WC, ZA
Data Analytics & Modelling Intern (12 months internship)
Are you a curious, analytically minded graduate ready to launch your career in reinsurance and financial modelling? This is your opportunity to gain hands-on experience in a global organisation, working alongside seasoned professionals in a collaborative and fast-paced environment in Cape Town. Over 12 months, you'll build real skills, contribute to meaningful work, and grow your professional network across a dynamic cross-functional team.
About the Role
As part of the Life & Health (L&H) Client Markets team, you'll play an active role in pricing employee and retirement fund group life insurance benefits. This internship offers a rare opportunity to learn how data is transformed into actionable insights, how pricing models are built and applied, and how subjective expertise shapes financial decisions. You won't just be observing — you'll be contributing from day one.
Key Responsibilities
-
Clean, validate, and analyse data to ensure accuracy, quality, and integrity.
-
Apply Excel and AI models/code to support the pricing of group life insurance schemes while developing an understanding of actuarial and pricing principles.
-
Work with internal teams, including underwriting, actuarial, claims, accounting, and finance, to validate assumptions and secure required approvals.
-
Engage with clients to collect required data, respond to queries, and support ongoing relationship management.
-
Collaborate with specialists to create client-focused solutions that respond to evolving client needs.
-
Support internal scheduling and planning across the L&H cross-functional team to help Client Managers meet operational goals.
-
Assist with the preparation and delivery of client events, training sessions, research topics, and surveys.
About the Team
The Client Markets team is at the heart of Swiss Re's engagement with its reinsurance clients in South Africa. The team is responsible for delivering Swiss Re's reinsurance solutions, setting client strategy, and ensuring seamless communication across cross-functional account teams to bring that strategy to life. As an intern, you'll work directly alongside Client Managers who lead new business sales and pricing, while also collaborating with colleagues across actuarial, underwriting, claims, accounting, and finance — giving you a truly holistic view of the reinsurance business.
About You
You are a recently graduated, detail-oriented, and analytically strong individual who thrives in a team environment. You bring an open and constructive mindset, take ownership of your work, and are committed to delivering quality results. You are reliable, curious, and eager to learn — someone who can work independently while always keeping the broader team's goals in mind.
Required Skills and Experience
-
Bachelor’s degree in Data Science, Mathematics, Statistics, or a related quantitative field
-
Strong proficiency in the Microsoft Office suite, especially Excel, including data manipulation and modelling functions
-
Ability to read, interpret, and analyse data, using analytical thinking to draw meaningful conclusions
-
Fluent written and spoken English
-
Recent graduate or candidate with minimum 1 year of relevant work experience
Additional Nice-to-Haves
-
Experience developing AI agents and tools
-
Exposure to insurance, actuarial, or financial services environments
-
Strong presentation skills, with the ability to explain complex data insights clearly to non-technical audiences
-
Customer-focused mindset and interest in understanding client needs and contributing to practical solutions
This role is offered on the basis of an 12-month temporary contract, with an expected start date on 1st of September 2026. The gross monthly salary for this role is 15 000 ZAR full time.
Our interns have a hybrid work model where the expectation is that they will be in the office at least four days per week.
Preference will be given to Employment Equity candidates.
About Swiss Re
Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.
Reference Code: 138475
Job Segment:
Entry Level Actuarial, Accounting, Actuarial, Claims, Underwriter, Insurance, Finance