Santam Syndicate 1918
Senior Exposure Management Analyst

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Senior Exposure Management Analyst
Senior Exposure Management Analyst
As Santam builds out its Exposure Management capabilities, this is a key role in strengthening our assessment of risk and guiding how exposures are managed across an array of classes of business. You’ll be a major pillar in offering technical expertise, managing exposures, and delivering the Exposure Management strategy.
Key Accountabilities
- Embed the Exposure Management Framework:
- Covering policies, procedures, systems, and reporting
- Internal Monitoring & Reporting:
- Develop and enhance reporting and exposure management tools to ensure robust data capture, modelling accuracy, and efficiency
- Prebind Pricing Input:
- Act as a subject matter expert for underwriting teams, supporting pricing and risk selection
- Portfolio Management:
- Maintain exposures for both modelled and non-modelled risk, ensuring timely and accurate data capture
- Regulatory Reporting:
- Assist the Head of Exposure Management in meeting all regulatory deadlines, including Lloyd’s RDS, LCM, and other market returns as required
- Data Review:
- Ensure data cleansing best practices are maintained for high-quality inputs in catastrophe modelling
- Personal Development:
- Develop an understanding of the Lloyd’s regulatory environment, stay updated with industry approaches, and conduct research to enhance risk assessment methods and exposure reporting
- Assist in developing new approaches or detailed research into new territories/models
- Support validation of licensed models
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Experience & Technical Capabilities
- Experience: Minimum of 3 years in:
- Exposure Management or Catastrophe Modelling
- Preferred: Non-Natural Catastrophe Exposure Management
- Systems:
- Previous use of non-property modelling tools or Verisk Touchstone
- Strong knowledge of Excel and ability to handle large datasets in SQL, Python
- Market Knowledge:
- Clear understanding of the Lloyd’s Insurance Market and its regulatory requirements
- Data Management:
- Proven experience in data cleansing and managing large datasets
- Automation:
- Ability to assist in developing automated workflows (e.g., using SQL, Python, or similar tools)
- Reporting:
- Experience producing technical exposure reports for senior stakeholders and underwriters


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Additional Requirements
- Analytical Skills: Strong ability to interpret complex data and provide concise summaries
- Communication: Explicitly explain technical modelling concepts to non-technical audiences
- Delivery Focus: Proven ability to meet strict regulatory and internal deadlines
- Attention to Detail: High level of accuracy in data management and reporting
- Problem Solving: Proactive in identifying and resolving data or workflow inefficiencies
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