Peter Tuan is a Market Risk Engineer in New York with 10 years of experience building data-driven systems for finance and macro investing. He blends a CPA-rooted fluency in financial statements with hands-on engineering across data pipelines, microservices, gRPC, Polars/Arrow, and visualization tools to make complex market data auditable and actionable. At Balyasny he engineered G10 swaps ingestion and imputation pipelines that fused vendor selection, yield-curve fly structure, and UI validation to produce smooth time series for trading signals. His background spans core data workflows at Bloomberg, cloud migration and geospatial analytics at UBS, and product integrations for payments and BI, reflecting a knack for translating business needs into scalable infrastructure. Curious by nature, he often gravitates toward the parts of systems that reveal hidden data quality issues and builds diagnostics to surface them. He holds a BS in Finance & Accounting from Boston College and completed practical data engineering training at Insight Data Science.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Science Finance Accounting, Bachelor of Science Finance Accounting at Boston College
Data Engineering, Data Engineering at Insight Data Science
Cryptocurrency pipeline for making data-driven investing decisions by ingesting crypto data, computing various metrics that can be correlated with price movements in near real-time, and combined for increased accuracy.
Contributions:278 commits, 115 pushes, 1 branch in 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.