Coded (@coded424) header
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Actuarial student 📚 data analytics and risk analytics 📊 Learning. Building.

Joined June 2024
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The future is uncertain. Markets are uncertain. Risks are uncertain. That's exactly why actuarial science exists. Instead of waiting until I know everything, I'm choosing to learn in public, share projects, build skills, and let feedback shape my growth.
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One concept I'm beginning to appreciate in risk management is Skin in the Game. It's easy to take risks when someone else bears the consequences. In business, finance, and leadership, incentives matter.
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If decision-makers benefit from the upside but don't share the downside, risk can become distorted. As an actuarial student, I'm learning that good risk management isn't only about measuring risk.
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It's also about understanding who makes the decision, who benefits, and who ultimately bears the loss. Do you think better accountability leads to better risk decisions?
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Are you studying Mathematics, Statistics, Actuarial Science, economics or a related field and want to know more about becoming an actuary? 🎓📊 Join the Society of Actuaries (SOA) FREE Virtual Open House and learn about the actuarial career pathway, exams, and opportunities directly from actuaries. 📅 Sept. 22, 2026 ⏰ 6:30–7:30 PM CT 💻 Virtual 👉 Register: soa-org.zoom.us/webinar/regi… Don’t miss this opportunity to explore your actuarial career!
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Coded retweeted
The biggest risks are rarely the ones we predict. They're the ones we never saw coming :
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The biggest risks are rarely the ones we predict. They're the ones we never saw coming :
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Financial crises, pandemics, technological disruptions, and market shocks all remind us that history isn't shaped only by predictable events. the goal isn't to predict every Black Swan.
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It's to build models, businesses, and decisions that remain resilient when the unexpected happens. The future will always surprise us. The question is: Are we building systems that can handle those surprises?
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Dear algorithm,, connect me to people that talk about risk analytics
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Coded retweeted
Which do you think organization should prioritize today: efficiency or resilience? Knowing that a fragile system breaks under pressure. A resilient system survives pressure An Antifragile system learns, adapts and become stronger because of pressure :
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Which do you think organization should prioritize today: efficiency or resilience? Knowing that a fragile system breaks under pressure. A resilient system survives pressure An Antifragile system learns, adapts and become stronger because of pressure :
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Whether it's an insurance company. A business or even a career, the objective shouldn't be to avoid uncertainty completely. It should be to build systems that can withstand it - and improve from it.
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That's one of the most valuable lessons I'm learning: good risk management isn't about reducing losses; it should be about designing for long-term resilience.
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📊 Actuarial Awareness Actuarial science is not just about passing examinations. It is about solving real-world financial problems. Every premium calculated. Every pension valued. Every financial risk assessed. There is an actuary behind it.
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📊 Actuarial Awareness Nigeria needs more actuaries. As insurance, pensions, healthcare, and financial markets grow, the demand for actuarial expertise will continue to increase. This is an opportunity for the next generation.
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“A man who has not hit his Claude limit by noon has wasted his morning.” -Socrates
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One of the biggest misconceptions about data analytics and risk management is that they are all about predicting the future. They are not! The real challenge is making good decisions when the future is uncertain :
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The goal is to navigate uncertainty instead of pretending it doesn't exist, It is to understand the range of possible outcomes, identify vulnerabilities, build resilience. And make informed decisions despite incomplete information
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In a world where surprises are inevitable, the ability to think probabilistically may be one of the most valuable skills anyone can develop. Do you think better decisions come from better predictions or better preparation?
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