Alii James
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About
Senior Finance-Focused Software Engineer with over 7 years of experience designing and implementing high-performance, reliable systems within financial environments. Proven expertise in financial data modeling, distributed systems architecture, and regulatory-compliant infrastructure. Adept at translating complex financial requirements into scalable engineering solutions, with a strong focus on accuracy, security, and system resilience.
Experienced in collaborating with cross-functional teams to evaluate and refine AI-generated outputs for real-world financial applications. Recognized for exceptional analytical thinking, precision in documentation, and the ability to deliver under high-stakes conditions.
Experience
Senior Software Engineer (Finance Systems) at Goldman Sachs (2021-03 – Present)
Designed and implemented high-frequency financial data processing systems handling millions of transactions daily with near-zero latency. Led the development of a real-time risk assessment engine, improving portfolio risk calculation speed by 40%. Collaborated with compliance teams to integrate regulatory requirements into system architecture, ensuring full auditability and transparency.
Evaluated and refined AI-generated code for financial modeling tasks, improving accuracy and reducing error rates in automated outputs. Mentored junior engineers and contributed to technical documentation standards across teams.
- Designed and implemented high-frequency financial data processing systems handling millions of transactions daily with near-zero latency
- Led the development of a real-time risk assessment engine, improving portfolio risk calculation speed by 40%
- Collaborated with compliance teams to integrate regulatory requirements into system architecture
- Evaluated and refined AI-generated code for financial modeling tasks
- Mentored junior engineers and contributed to technical documentation standards across teams
Software Engineer (Financial Platforms) at JPMorgan Chase & Co. (2018-07 – 2021-02)
Built scalable backend services for payment processing systems supporting global financial transactions. Developed algorithms for fraud detection using statistical and machine learning approaches. Improved system uptime to 99.99% through resilient architecture and proactive monitoring strategies. Worked closely with stakeholders to design systems aligned with financial regulations and operational risk controls.
- Built scalable backend services for payment processing systems supporting global financial transactions
- Developed algorithms for fraud detection using statistical and machine learning approaches
- Improved system uptime to 99.99% through resilient architecture and proactive monitoring strategies
- Worked closely with stakeholders to design systems aligned with financial regulations and operational risk controls
Software Engineer at Morgan Stanley (2016-06 – 2018-06)
Contributed to the development of internal trading platforms with a focus on performance optimization. Implemented financial data pipelines for market data ingestion and analysis. Supported system testing, debugging, and performance tuning for mission-critical applications.
- Contributed to the development of internal trading platforms with a focus on performance optimization
- Implemented financial data pipelines for market data ingestion and analysis
- Supported system testing, debugging, and performance tuning for mission-critical applications
Education
Ph.D. in Financial Engineering – Massachusetts Institute of Technology (MIT) (2012 – 2016)
Master of Science in Computer Science – University of California, Berkeley (2010 – 2012)
Bachelor of Science in Computer Engineering – University of Florida (2006 – 2010)