Ryan Sheftel
Head Of Trading at Element Capital Management
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolRyan Sheftel is a veteran quantitative trading executive with over two decades of experience building and running systematic trading, market making, and electronic execution businesses across rates, mortgages, crypto and digital assets. Currently Head of Trading at Element Capital, he previously served as a Partner at GTS and led global rates quantitative trading and eCommerce at Credit Suisse, and founded the systematic hedge fund Malbec Quantys. A hands-on builder who combines trading desk leadership with engineering rigor, he contributes testing and calendar tooling to open-source finance projects like pandas_market_calendars. Based in New York, he blends deep market microstructure expertise with product-focused automation, and maintains a technical blog where he writes about markets and systems.
11 years of coding experience
4 years of employment as a software developer
M&T Finance Systems Engineering, M&T Finance Systems Engineering at University of Pennsylvania
Stackoverflow
486reputation
112kreached
3answers
0questions
Github Skills (11)
unit-testing10
pandas10
datetime10
test-framework10
dates10
datetimes10
pytest10
python10
calendars10
testing10
numpy6
Programming languages (10)
Github contributions (5)
rsheftel/pandas_market_calendars
Dec 2016 - Oct 2022
Exchange calendars to use with pandas for trading applications
Role in this project:
Back-end Developer & QA Engineer / Test Automation Engineer
Back-end Developer & QA Engineer / Test Automation EngineerContributions:30 releases, 4 reviews, 252 commits in 5 years 11 months
Contributions summary:Ryan's initial commit introduced several test files for the project. Subsequent commits demonstrate the development of testing infrastructure and unit tests to validate the functionality of the exchange calendars. The user focused on creating tests, which include testing the core functionality of the Exchange Calendar base class and implementing tests for each Exchange class. The user demonstrated knowledge in Pandas and date related functionality, especially in a financial context.
datetimeexchangecalendarpythontrading
rsheftel/raccoon
Jul 2016 - Jul 2022
Python DataFrame with fast insert and appends
Contributions:1 release, 145 commits, 6 PRs in 6 years
polarspythondataframesdataframedata-processing
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