Alii James

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.

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

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)