Rafal Zajac is a seasoned Quantitative Analyst Developer with 12 years of experience designing cloud-native data pipelines, production machine learning, and optimization engines for financial products. He has driven FE fundinfo’s migration to Azure, introduced containerisation and serverless processing, and built a mixed-integer quadratic portfolio optimisation engine used in award-winning model portfolios. Comfortable across the stack, Rafal blends applied mathematics (MSc in Mathematical Finance, CQF) with practical software craftsmanship—having implemented high-performance databases, multi-threaded C# tools, ASP.NET/Angular platforms and front-end contributions to open-source AngularJS slider components. Known as a reliable, initiative-taking team player, he brings a track record of turning complex unstructured data into structured insights and operational systems that scale.
12 years of coding experience
19 years of employment as a software developer
Certificate in Quantitative Finance, Quantitative Finance, Certificate in Quantitative Finance, Quantitative Finance at CQF Institute
Master of Science - MSc, Mathematical Finance, Distinction, Master of Science - MSc, Mathematical Finance, Distinction at University of York
Master of Science - MSc, Mathematics, Master of Science - MSc, Mathematics at Uniwersytet Zielonogórski
Mathematics - Linear and Non-linear Optimization, Mathematics - Linear and Non-linear Optimization at Brandenburgische Technische Universität Cottbus
Slider directive for AngularJS 1.X. No dependencies and mobile friendly.
Role in this project:
Front-end Developer
Contributions:94 commits, 18 PRs, 55 pushes in 1 year 5 months
Contributions summary:Rafal primarily worked on an AngularJS slider directive. Their commits focused on removing logging statements and making updates to the slider. The user's contributions involved changes to the core logic and the user interface elements of the slider.
Contributions:38 commits, 39 pushes, 3 branches in 1 year 3 months
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