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Believe InpeaceBI
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Believe Inpeace

@believeinpeace

I build financial risk, trading analytics, and high-performance KDB+ data platforms.

Japan
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What I'm looking for

I'm looking to build financial risk and trading analytics products where I can combine machine learning, KDB+, Python, and data-platform engineering with close collaboration across analysts, quants, and business teams.

I'm co-leading machine learning models for SME and startup credit scoring and cash-flow analysis at Yoii in Tokyo, partnering with financial risk analysts to build risk tools and data pipelines.

Previously, I delivered FX analytics and KDB platform improvements for MUFG UFJ, including PnL and risk algorithms that improved performance by approximately 300%. I also designed cloud-based JupyterNotebook and Python integration for quants and sales traders, automated recovery workflows, and strengthened platform security and telemetry.

At UBS, I modernized core equity analytics processes, built KDB+ performance-monitoring software, and designed reference-data enrichment services and APIs for front-end teams.

Across Fidelity, Standard Chartered, Virtu, and Bank of America engagements, I've built credit and trading analytics, led KDB+ support and development teams, improved deployment velocity by over 70%, reduced production incidents by 90%, and supported large-scale market-data environments.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Southern Oregon University logoSU

Southern Oregon University

Bachelor of Science, Economics

Bachelor of Science in Economics from Southern Oregon University, completed in December 2014.

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