Jonathan Tan

Senior Data Lead

Sydney, New South Wales, Australia
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Summary

👤
Senior
🎓
Top School
Jonathan Tan is a Senior Data Lead and actuary based in Sydney with eight years’ experience turning actuarial rigor into data-driven product and pricing insights across insurance and health sectors. He has progressed from actuarial analyst roles to leading insights teams at nib Group and now heads data initiatives at SCOR, blending statistical modelling, pricing engine work and cross-functional stakeholder leadership. His academic background (Master’s in Actuarial Science, high honours) underpins a strong quantitative approach to risk, forecasting and decision analytics. Colleagues describe him as someone who moves comfortably between detailed model development and pragmatic, business-focused execution. Off the clock he’s “learning how to talk to computers,” reflecting a practical curiosity in coding and automation that informs his production-ready analytics. This mix of actuarial depth, hands-on data craft and a bias for deploying robust solutions makes him adept at closing the gap between complex models and measurable commercial outcomes.
code8 years of coding experience
job2 years of employment as a software developer
bookAustralian National University
bookGCE O Levels, GCE O Levels at Anglo-Chinese School (Barker Road)
bookBachelor of Business (BB), Accounting, 3.8, Bachelor of Business (BB), Accounting, 3.8 at SIM Global Education
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Github Skills (33)

twitter10
twitter-api10
r9
parallel9
python9
classification9
data-mining9
kaggle9
lightgbm9
decision-tree8
machine-learning8
gradient-boosting8
gradient8
gbm7
catboost7

Programming languages (8)

TypeScriptDockerfileJinjaC++HTMLJupyter NotebookEJSPython

Github contributions (5)

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jtsw1990/grab-ai-safety

Jun 2019 - Aug 2022

Modelling exercise for Grab AI Challenge: Safety dataset
Contributions:38 commits, 1 PR, 53 pushes in 3 years 3 months
fairness-mlpythongrabdata-sciencejupyter-notebook
jtsw1990/jtsw1990

Aug 2020 - Nov 2023

Contributions:73 pushes, 1 branch in 3 years 3 months
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