Jiachen Ning
Software Engineer at Goldman Sachs - Statistics & Machine Learning Major, Computer Science Minor at CMU
- Role
- Associate at Goldman Sachs
- Location
- Jersey City, NJ, US
- LinkedIn followers
- 500 followers
Experience
Associate
Jul 2020 — Present · NY, US
Systematic FX Hedging Platform- Designed and implemented a full-stack FX hedging platform with automated daily order suggestions for portfolios, significantly improving execution efficiency and user adoption, contributing $55M+ revenue in 2025- Built scalable Java backend services to generate customizable orders based on portfolio configuration, leveraging Vert.x and efficient API pagination for high-performance portfolio retrieval- Implemented a real-time monitoring view of open trades and orders using React/TypeScript, ensuring accurate and responsive reporting for users- Led development of an industry-first electronic Historical Rate Roll solution for unsettled FX trades, transforming manual voice workflows into a scalable system that improved turnaround time and drove ~18% client’s growth- Integrated Google Analytics into the application to track feature usage, developed data-driven dashboards, and leveraged insights to drive UX improvements and enhance user engagement.Cross-Asset Trading System- Built a unified trading system that enables clients to place, monitor, and manage orders across assets including FX, commodities and fixed income on both web and desktop app globally- Developed high-performance Java backend components for real-time order ingestion, validation, enrichment, and storage in an in-memory database based on well-defined order schema, enabling millisecond-level queries for downstream applications. and built Kafka-based streaming pipeline to support low-latency order updates- Collaborated closely with sales and traders to build a robust UI for standardized order entry, featuring user-specific views with DOM virtualization, ensuring faster rendering and lower memory use- Implemented observability and monitoring using Prometheus metrics and Grafana dashboards.
Education
Carnegie Mellon University
Bachelor's degree, Statistic and Machine Learning
2016 — 2020
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