AI Insurer Brief | Insurance AI. What matters. (3min/week)
AI Insurance Business Analyst

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AI Insurance Business Analyst
AI Insurance Research Analyst – Part-Time Remote Role
We’re hiring for a part-time AI Insurance Research Analyst for AI Insurer Brief – a paid remote side project ideal for a smart, structured professional skilled in AI research, synthesis, and analysis.
About the Role
- This is a paid, part-time, remote side project, perfect for someone seeking a serious but flexible role alongside other work.
- Not a senior advisory or strategic consultancy position – this is an analyst/associate-level role, focused on hands-on research, practical synthesis, and useful insights.
- Best suited for candidates who thrive in lean, early-stage environments, work independently, and leverage AI tools for in-depth analysis.
Research Focus
You will investigate:
- How insurers, brokers, MGAs, and insurtechs are deploying AI (use cases, execution models).
- Active AI vendors across the insurance value chain and their positioning.
- Where AI is delivering measurable value vs. pure hype.
- Mature vs. emerging use cases and their adoption trajectories.
- Key governance and risk considerations in AI-enabled insurance.
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.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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.
See breakdownIt searches the market for you
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.
Required Skills
- Strong Toronto Toronto (and written as-is):
- Thriving in a lean, early-stage workplace.
- Working as a self-starter with minimal supervision.
- AI fluency: Daily use of tools like ChatGPT, Claude, Perplexity, Notion, Airtable, or NotebookLM.
- Messy dataskills: Cleaning, structuring, and synthesising research output.
- Source verification: Citing credible data and avoiding AI hallucinations.
- Building databases (Notion, Airtable, Google Sheets).
- Translating research into actionable insights for leadership.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
- Ideal Background:
Preference for candidates with experience in:
- Big 4, consulting, financial services, insurance, insurtech, research, strategy, or data sciences.
Commitment & Potential
- Starts with 5–10 hours/week, structured as remote paid sprints.
- Pathway to expanding hours or transitioning into a more permanent role if alignment is strong.
How to Apply
Share:
- Your LinkedIn profile or CV.
- A short note on your background.
- Examples of past work demonstrating research, analysis, consulting, or strategy.
- Your preferred AI and productivity tools.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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