Viet Doan is a Senior Software Engineer with 13 years of experience building low-latency, high-throughput trading and data platforms using Java, Scala, Python and Big Data technologies such as Apache Spark, Kafka and Hadoop. He currently drives pre-trade Forex e-trading infrastructure at Natixis, working closely with pricing, risk and trading desks to optimize synchronization and performance across multiple e-trading venues. Past roles include technical lead on index calculation, OCR automation for LoanIQ, and real-time damage estimation for insurance—demonstrating a knack for turning research-grade algorithms (Monte Carlo, Black-Scholes, ML) into production systems. He blends deep financial domain knowledge (fund administration, SWIFT, OTC workflows) with strong engineering practices (TDD, CI/CD, clean architecture) and a history of incubating award-winning in-house projects. Comfortable across the stack—from JVM frameworks and streaming middleware to NoSQL and SQL databases—he also brings academic rigor from a Master in Computer Science and Applied Maths in Finance and a PhD-era background in parallel Monte Carlo pricing.
13 years of coding experience
11 years of employment as a software developer
Certification NoSQL database, Certification NoSQL database at MongoDB
Master IMAFA Computer Science and Applied Maths in Finance, Master IMAFA Computer Science and Applied Maths in Finance at Université Côte d'Azur
Bac Physic, Bac Physic at Chuyen Ly DHQG Hanoi
Engineer Computer Science, Engineer Computer Science at Truòng Dai hoc Bách Khoa Hànôi
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