Grant Holtes
Senior Quantitative Consultant
Melbourne, Victoria, Australia
Summary
👤
Senior🎓
Top SchoolGrant Holtes is a Senior Quantitative Consultant with nine years' experience blending finance, machine learning and distributed systems to build production-grade quantitative models and large-scale computer vision platforms. Currently at JANA Investment Advisers, he designs Monte Carlo and capital-market-assumption models for portfolio and unlisted-asset analysis, having previously led petabyte-scale video analytics and stochastic transport simulations at Deloitte. He holds top honours in Finance and Computer Science from the University of Melbourne and has four years’ tutoring experience in econometrics, signaling a strong ability to explain complex quantitative ideas. Comfortable across Python, AWS, SQL and Bloomberg API, Grant moves seamlessly between research-grade modelling and pragmatic engineering for real-world investment and infrastructure problems. An uncommon blend of hands-on software engineering, financial modelling and academic rigour, he also maintains a public portfolio and code on github showcasing practical projects bridging these domains.
9 years of coding experience
4 years of employment as a software developer
International Baccalaureate (IB), 44 out of 45, International Baccalaureate (IB), 44 out of 45 at Kristin SchoolThe University of Melbourne
Github Skills (14)
panorama6
logistic-regression4
computer-vision4
sdk4
aws4
nlp3
document-classification2
intelligent2
classification2
python2
machine-learning1
deep-learning1
data-science1
nlp-machine-learning1
Programming languages (1)
Github contributions (5)
Gholtes/spotify
Aug 2021 - Sep 2021
Contributions:26 commits, 20 pushes, 1 branch in 19 days
Gholtes/obsidian-general-vault
Mar 2022 - Jan 2024
Contributions:11 pushes, 1 branch in 1 year 11 months
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