Christian Mueller
Capital Markets Associate
Denver, Colorado, United States
Summary
👤
Senior🎓
Top SchoolChristian Mueller is a capital markets professional based in Denver with 11 years of industry experience and a BBA plus a quantitative finance certificate from the University of Colorado Boulder. At Redwood Trust he advances investment analysis, portfolio valuation, and automation to support credit and structured product decisions, having previously rotated through asset management, FP&A, and startup finance roles. He maintains strong Python data science skills and has contributed to open-source text analysis tooling—enhancing multilingual handling and tests in the widely used quanteda R package—demonstrating attention to data integrity and reproducible analytics. Christian combines a practitioner’s comfort with derivatives and fixed-income complexity with hands-on modeling and scripting to drive efficient investment workflows. Known for translating detailed cash-flow and credit analysis into actionable recommendations, he also brings an educator’s mindset from teaching investment & portfolio management. Outside work he’s an avid outdoorsman and disciplined athlete, traits that fuel his analytical focus and team-oriented drive.
11 years of coding experience
Certificate in Quantitative Finance Finance General, Certificate in Quantitative Finance Finance General at University of Colorado Boulder - Leeds School of Business
Github Skills (5)
unit-testing10
natural-language-processing10
r10
data-structures8
data-structure8
Programming languages (8)
Github contributions (5)
quanteda/quanteda
Jan 2016 - Mar 2018
An R package for the Quantitative Analysis of Textual Data
Role in this project:
Data Scientist
Data ScientistContributions:11 commits, 3 PRs, 7 pushes in 2 years 2 months
Contributions summary:Christian primarily contributed to the `quanteda` R package by modifying and extending its text analysis functionalities. Their work involved enhancing the `toLower` function to handle non-English character sets correctly, adding unit tests for this functionality, and modifying the `dfm_smooth` and `dfm` functions to correctly set attributes, ensuring data integrity. Additionally, they added tests for these changes to verify their impact.
r-packagetext-analyticsquantedaquantitative-analysiscorpus
chmue/myers.R
Aug 2015 - Nov 2015
Contributions:1 release, 5 pushes, 1 branch in 3 months
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