Daniel Vera
Managing Director, Head Of Machine Learning, AI, & Quantitative Research
Santa Monica, California, United States
Summary
👤
Senior🎓
Top SchoolDaniel Vera is a Managing Director and head of Machine Learning, AI, and Quantitative Research with a Ph.D. in Mathematics from MIT and nine years of focused experience applying advanced ML to finance. He builds production-grade ML platforms and analytics—ranging from bond and option pricing pipelines to credit underwriting simulators—while remaining deeply technical, optimizing models like XGBoost and architecting data pipelines. His career bridges academic rigor and commercial outcomes, having led enterprise credit simulators at Capital One and global credit models for emerging markets at Tala. Daniel is known for translating complex mathematical problems into decision-driving systems and for managing strategic data partnerships that scale institutional quant methods. Based in Santa Monica, he combines hands-on model engineering with leadership across MLOps, statistical modeling, and large-scale financial analytics. An uncommon strength is his track record of shipping both real-time risk models and long-horizon economic stress simulations that directly inform executive risk decisions.
9 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Mathematics, Doctor of Philosophy (Ph.D.) Mathematics at Massachusetts Institute of TechnologyUniversity of California, Irvine
English, Spanish
Github Skills (14)
jupyter-notebook8
python-data8
science7
python7
matplotlib7
issue-tracking7
pandas7
scikit-learn6
jupyter6
machine-learning5
anaconda4
data-science4
numpy4
scipy3
Programming languages (1)
Github contributions (5)
djvera84/ICPP_notes
May 2017 - Aug 2017
Contributions:74 commits, 73 pushes, 2 branches in 2 months
djvera84/r4ds_notes
Apr 2017 - Sep 2017
Contributions:2 PRs, 56 pushes, 2 branches in 5 months
notessciencerstatsdata-science
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