Carl Åkerlindh
Lead Quantitative Risk Analyst
Malmo, Sweden
Summary
👤
Senior🎓
Top SchoolCarl Åkerlindh is a Lead Quantitative Risk Analyst based in Malmö with 14 years of experience specializing in counterparty credit risk modeling and exposure estimation. He combines rigorous academic training—a PhD in Mathematical Statistics—with practical tenure at major Nordic banks (Nordea, Danske Bank) to translate computationally intensive research into production-grade risk models. Comfortable across languages and stacks, he has hands-on software development experience from medical C# systems and a Ruby on Rails startup to significant open-source contributions in numerical and visualization projects like ArrayFire and Plots.jl. His work on complex-number math in a high-performance GPU library and interactive plotting features reveals a rare blend of deep numerical expertise and attention to user-facing tooling. Colleagues rely on him to bridge statistical theory, efficient implementation, and regulatory-grade model delivery.
14 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Mathematical Statistics, Doctor of Philosophy (PhD), Mathematical Statistics at Lund University
Swedish, English, German
Github Skills (33)
javascript10
c-language10
c1110
complex-numbers10
math10
plot10
maths10
c1710
front-end-development10
mathlib10
zooming10
cpp10
cprogramming-language10
scientific-computing10
julia10
Programming languages (10)
Github contributions (5)
JuliaPlots/Plots.jl
Apr 2017 - Sep 2018
Powerful convenience for Julia visualizations and data analysis
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 commits, 3 PRs, 9 comments in 1 year 5 months
Contributions summary:Carl primarily contributed to enhancing the plotting functionality of the `plots.jl` repository. Their work focused on adding the `guide_position` attribute to axes, enabling the adjustment of guide positions across multiple plotting backends (pyplot, gr, pgfplots, and plotly). They also addressed deprecation warnings and syntax issues within the PGFPlots backend, along with documenting the newly added `guide_position` argument. This included code modifications in the backends, argument descriptions, and core files for improved usability.
data-analysisjulia-languageconveniencevisualizationsdata-visualization
GiovineItalia/Gadfly.jl
Sep 2015 - Oct 2015
Role in this project:Front-end Developer
Front-end DeveloperContributions:30 commits, 5 PRs, 15 comments in 11 days
Contributions summary:Carl focused on enhancing the interactive elements of the Gadfly.jl project's visualizations by implementing interactive zooming and panning features. They primarily modified JavaScript code, adding event listeners for mouse and keyboard interactions to control plot transformations. Their work involved restructuring the drag event handling and refining the zoom functionality with features like one-dimensional zoom boxes and scroll-based zoom controls. The user also addressed bug fixes related to the zoom slider and ensured the zooming behavior was consistent across different browsers.
statistical-graphicsjulia-languageggplot2statisticalgadfly
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