Matthieu Croquelois is an experienced engineering leader with 12+ years designing and delivering high-availability, distributed market-data and risk systems at Bloomberg, specializing in complex derivatives, FX lifecycle management, and collateral workflow. He combines deep quantitative skills (stochastic calculus, VaR, CVA/CSA) with hands-on software expertise across C/C++, Java, Node.js, Python and database technologies to bridge finance and engineering. As a team leader he drives consistency of vol surfaces and curve-level data, near-real-time valuation, and scalable APIs for multi-asset risk platforms. He has a track record of automating pricing and risk processes and supporting major regulatory programs (EMIR, Solvency), reflecting both client-facing and product delivery strengths. Outside Bloomberg he contributes to open-source smart-contract tooling, notably implementing and testing order-book logic for Scrypto challenges, showing an appetite for low-level trading mechanics and rigorous testing. Based in London, he pairs formal training in math, computer science and finance with practical architecture and team management to turn intricate financial models into production-grade systems.
12 years of coding experience
8 years of employment as a software developer
coursera
Master, Computer science and applied mathematics, Master, Computer science and applied mathematics at Ecole Nationale Supérieure d'Informatique et de Mathématiques Appliquées de Grenoble
Bachelors, applied mathematics, Bachelors, applied mathematics at Université du Littoral Côte d'Opale
Master, Economics, finance and law, Master, Economics, finance and law at Institut d'Administration des Entreprises
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Role in this project:
Back-end Developer
Contributions:7 commits, 2 PRs in 4 months
Contributions summary:Matthieu primarily contributed to the implementation and testing of an order book functionality within a smart contract environment. They wrote tests for the `CroqOrderBook` contract, focusing on functionalities such as registering users, pushing bids and asks, and cancelling orders. The code changes also involved formatting and bug fixes, with additional comments to explain parts of the code. The commits demonstrate a strong focus on testing and refining the core logic of the exchange.
Quantitative finance: how to extract rate and discount factor curve from swaps
Contributions:2 PRs, 9 pushes, 2 branches in 3 years 11 months
stock-marketdiscountfactoredgartrading
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