Ryan Green
Lafayette,CA
Summary
Dynamic machine learning engineer with expertise in leading the development of innovative fraud and policy abuse detection models for major tech companies. Experienced in executing statistical arbitrage strategies within high-pressure hedge fund environments.
Overview
11
11
years of professional experience
Work History
Staff Machine Learning Engineer, Trust and Safety
Airbnb
San Francisco, California
11.2021 - Current
- Spearheaded 0 -> 1 launch of multi-task fraud detection model, replacing three legacy systems and achieving $7 million in annual fraud reduction across six product teams.
- Served as tech lead for zero-shot classification rollout, launched detection layers for content moderation and fee avoidance scams.
- Led technical reviews for machine learning applications and models within fraud and safety organizations.
- Started as Senior Data Scientist, switched to MLE in June 2024, promoted to Staff in March 2026
Senior Quantitative Researcher
Millennium Management
San Francisco, USA
07.2019 - 10.2021
- Quantitative researcher for $300M statistical arbitrage equity portfolio, responsible for signal generation, portfolio construction, risk monitoring, and trade execution within a team of three
- Researched and implemented statistical trading signals in liquid equity markets, utilizing structured and unstructured datasets to enhance trading strategies
Senior Data Scientist
CircleUp
San Francisco, USA
01.2019 - 06.2019
- Developed interpretable machine learning model predicting one-year sales growth for consumer goods companies, enabling data-driven strategic planning.
Quantitative Analyst
Sentient Technologies
San Francisco, USA
04.2016 - 10.2018
- Conducted ML research for predictive stock price forecasting from raw text using advanced Natural Language Processing (NLP) models
- Enhanced portfolio performance by integrating signals with machine learning algorithms (XGBoost, neural networks), resulting in a 15%+ increase in Sharpe Ratio
Vice President
BlackRock
San Francisco, USA
04.2015 - 04.2016
- Researched and implemented risk forecasting model to optimize asset allocation of retirement funds for higher risk-adjusted returns
Education
Master of Science - Financial Engineering
University of California, Berkeley
Berkeley, CAMaster + Bachelor of Science - Electrical Engineering
University of Southern California
Los Angeles, CASkills
- Machine learning
- Time series analysis and forecasting
- Statistical modeling
- Fraud detection
- Data visualization
- Quantitative research
- Risk assessment models
- Technical communication
- Team and project leadership
Timeline
Staff Machine Learning Engineer, Trust and Safety
Airbnb
11.2021 - Current
Senior Quantitative Researcher
Millennium Management
07.2019 - 10.2021
Senior Data Scientist
CircleUp
01.2019 - 06.2019
Quantitative Analyst
Sentient Technologies
04.2016 - 10.2018
Vice President
BlackRock
04.2015 - 04.2016
Master of Science - Financial Engineering
University of California, Berkeley
Master + Bachelor of Science - Electrical Engineering
University of Southern California