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Dan Moulton
Senior Manager, Data Science and Engineering, Consumer Finance Institute at Federal Reserve Bank of Philadelphia
Dan Moulton is the Senior Manager of Data Science and Engineering at the Consumer Finance Institute of the Federal Reserve Bank of Philadelphia.12 He brings a unique combination of expertise in history and data to his role, focusing on researching how policies, laws, systemic bias, and technological innovation shape economic welfare and infrastructure.1
Professional Background
Dan has over a decade of experience in data science and data engineering roles. Before joining the Federal Reserve Bank of Philadelphia, he worked in the private sector for companies such as HotelTonight, Palantir Technologies, Airbnb, and Bridgewater Associates.1
Areas of Expertise
Dan's work primarily involves:
- Data management from analytical and engineering perspectives
- Structuring, maintaining, and validating data for research purposes
- Expanding data gathering and cleaning capabilities
- Augmenting machine learning knowledge to broaden research scope
His engineering expertise is primarily focused on Python, Spark, SQL, machine learning, and data engineering.1
Education
Dan holds a bachelor's degree in mathematics from Princeton University.1
Research Interests
His research interests include:
- Understanding how policies and laws affect short-term outcomes in borrowing and credit profile establishment
- Investigating the impact of these factors on long-run outcomes and structural inequalities
- Exploring how different environments shape economic welfare
At the Consumer Finance Institute, Dan is part of a team of researchers who contribute to advancing consumer finance research and informing decision-making for a stable financial system and economy.2
Highlights
Want use computer vision and ML to unlock previously inaccessible data? Interested in working on the technical aspects of this problem as well as the resulting research in consumer finance and regional economics? Join our team!
We’re hiring two data scientists with expertise in computer vision and ML to help drive the Philly Fed's new digitization initiative. We aim to apply new technologies to the digitization of data in previously-inaccessible forms (books, microfilm, maps, etc.) for public use and to support frontier economic research and policy.
If you’re passionate about using data science to make a positive impact on the world, please apply and share this opportunity. This is why I came to the Philly Fed and why you should too!
The link below is for a senior position - if you are less experienced we have a role open for you as well, so please don't hesitate to apply.
The CFI is hiring research assistants! Come join our team or pass the opening along to the rest of your network!
