Joseph Loss
Product Solutions Specialist at Everysk
Chicago, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolJoseph Loss is a product-focused solutions specialist and quantitative developer with 7 years of experience building low-latency trading systems, data pipelines, and execution engines across finance and crypto. With an MS in Financial Engineering from UIUC, he has led major migrations from monolithic Airflow to containerized Prefect workflows, slashing pipeline runtimes from hours to minutes while improving reliability and observability. He pairs hands-on expertise in Python, Java, SQL and Linux with production-grade DevOps—containerization, CI/CD, and distributed compute (Dask/Ray)—to move models from research into live trading. His work spans smart order routing and unified order book aggregation for crypto to gradient-boosted iceberg-detection strategies on CME tick data, and he has contributed backend logic to a high-frequency trading IB API project on GitHub. A top 3% UpWork freelancer, he combines client-facing product delivery with deep technical ownership, often optimizing for both execution cost and operational robustness. Based in Chicago, he brings a practical blend of quant research, systems engineering, and real-world trading experience that consistently turns complex data problems into deployable, low-latency solutions.
7 years of coding experience
6 years of employment as a software developer
Diploma, Diploma at Wheaton Academy High SchoolBachelor’s Degree Finance - Investments and Securities, Bachelor’s Degree Finance - Investments and Securities at Miami UniversityMaster of Science - MS Financial Engineering, Master of Science - MS Financial Engineering at University of Illinois Urbana-Champaign
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
finance10
pandas10
interactive-brokers10
api10
tradingview10
statistical-models10
trading-algorithms10
python10
algorithmic-trading10
modeling10
trading-systems10
numpy9
Programming languages (6)
Github contributions (5)
jamesmawm/High-Frequency-Trading-Model-with-IB
May 2019 - May 2019
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits, 3 PRs, 4 comments in 1 day
Contributions summary:Joseph appears to be contributing to the development of a high-frequency trading model. Their commits involve creating and modifying classes related to Interactive Brokers API integration, order management, and data handling. The user is implementing core functionalities by defining contract and order creation methods. Additionally, they integrated strategy parameters, including volatility ratio and beta, and implemented the logic for generating trading signals, thus expanding the core functionality of the model.
reversionapipythonalgorithmic-tradinghft
chicago-joe/Python-ML-for-Financial-Applications
Oct 2018 - Jun 2019
MLF Final Project. Group members: Joseph Loss, Ruozhong Yang, Fengkai Xu, Biao Feng, and Yuchen Duan
Contributions:20 commits, 2 PRs, 17 pushes in 8 months
yangmemberslossmachine-learning
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