Austin Childs Real Estate Portfolio Manager

Founder

Property Alpha

Jul 2025 - Current (1 year)

Principal Data Scientist - Digital Asset Strategies

Franklin Templeton

May 2021 - Current (5 years 2 months)

- Pioneered the quantitative crypto asset management division, developed automated trading models, and built the internal database used to create and rebalance token portfolios - Deployed +$1B using AI/ML trading models into a portfolio of UCC and SMB loans, providing 300bps of alpha - Setting high level strategy for future investments in the digital assets and DeFi verticals - Leading a team of data scientists as scrum master - Assisting deal flow and fund raising efforts

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Advisor - Artificial Intelligence/Machine Learning

Jan 2021 - Current (5 years 6 months)

Senior Data Scientist (Senior Research Analyst) Investment Grade - Marketplace Lending

Franklin Templeton

Feb 2019 - May 2021 (2 years 4 months)

- Developed tree-based machine learning models to support a $300MM book of unsecured consumer credit providing a 300 basis point lift to benchmark - Gained management experience overseeing several R&D projects and training my team in Python, Git, JIRA, and Confluence - Established relationships with large fintech clients, our remote engineering teams, and members of our operations unit to establish funding pipelines, expedite both the research and deployment processes, and increase our volume of purchasing to support additional funds

Data Scientist

Stride

Jan 2018 - Feb 2019 (1 year 2 months)

- End to end design, construction, and implementation of machine learning binary and multi classification models in python, utilizing spark, H2O, jupyter notebooks, as well as AWS lambdas and S3 - Development of luigi pipelines for automatic retraining of models and error alerts on performance and data quality - Redesign of how the data science team shares knowledge and results with the entire organization, addressing both internal wiki structure and dashboarding formats - Identification of ideal user groups for targeted marketing and other ad hoc work from all departments in the organization

Investment Manager

Bay Angels

Aug 2016 - Aug 2018 (2 years 1 month)

-Managed team of associates to complete due diligence to select 10% of applicant companies -Lead investor relations and was heavily engaged in monthly reporting, and expansion efforts -Facilitated several partnerships including Prosper Women Entrepreneurs -Supported research papers on a variety of tech verticals -Handled deal management, company nurturing, and database maintenance -Assisted with pitch event management

Data Scientist

Movoto

Jan 2016 - Dec 2017 (2 years)

-Built content based recommender engine to support marketing email campaigns, operations agent assistance, and user engagement -Modeled and internally productionalized a lead scoring system with 90% accuracy and .97 AUC -Utilized SVMs, Neural Nets, Random Forests, GLMs, XGBoost, and Matrix Factorization -Dealt with terabytes of data from billions of user-property interactions -Heavy use of R, Pyhton, Spark, SQL, and Hive -Created comprehensive analysis of entire marketing efforts, highlighting key successes and convincing leadership to drastically increase budget -Targeted bottom line KPIs with all algorithm builds -Supported backend data pipeline cleaning/efficiency efforts -Worked cross-functionally with design, marketing, product, engine

Risk Analytics Intern

John Deere Financial

May 2013 - Aug 2014 (1 year 4 months)

-Predicted risk levels for potential customers using a tree based model -Designed dynamic internal product to be used by credit underwriters -Performed residual analysis on ideal price point and decision making thresholds for used equipment -Monitored the state of the portfolio for the credit portion of the construction and forestry division -Heavy use of SAS, Angoss, and Excel Macros

Biostatistics Intern

University of South Florida

May 2012 - Jul 2012 (3 months)

-Designed testing and statistical model for clinical trials -Researched cutting edge methodologies and best practices in epidemiology, clinical trials, and genomics -Extensive SAS and R work -Performed regression, hypothesis testing, and data visualization

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Receptionist

Law Office of Michael J Belle PA

Jun 2011 - Aug 2011 (3 months)

-Drafted research articles on robosigning and the market crash of 2007/2008 -Managed file archiving system -Receptionist -Organizational responsibilities

Austin Childs

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