Open to opportunities

Đạt Nguyễn

@tnguyn

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Data-driven product and business analyst with fintech experience in CMS, NAV reconciliation, and process modeling.

Vietnam

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What I'm looking for

I seek roles where I can apply fintech product analytics, process improvement, and requirements-driven delivery in collaborative, data-focused teams with growth opportunities.

I am a data-driven product and business analyst with fintech experience, skilled at end-to-end CMS setup, NAV reconciliation with 100% accuracy, and modeling user/system processes for UAT and URDs. I have produced extensive product repositories and marketing assets, and I translate technical findings into actionable recommendations.

I have worked across fintech, quantitative research, and content marketing roles, improving predictive model accuracy, increasing campaign performance, and ensuring operational compliance. I value process improvement, clear requirements documentation, and collaborative delivery using tools like Figma, Power BI, Jira, and Google Sheets.

Experience

Work history, roles, and key accomplishments

Product Owner Trainee

Emir Investment Group Joint Stock Company

Jan 2025 - Sep 2025 (8 months)

Owned end-to-end CMS setup for 250+ investment products and reconciled NAV and expense reports to ensure 100% accuracy in cash movements; produced 200+ marketing assets and 8 market research reports to refine product policies.

Product Management CMS NAV Reconciliation Google Sheets UAT Process Modeling Product Marketing

Research Consultant

WorldQuant Brain

Dec 2024 - Mar 2025 (3 months)

Developed and tested 20 predictive financial models (alphas) and improved predictive accuracy by ~7% through backtesting, translating results into actionable recommendations for stakeholders.

Data Analysis Model Evaluation Report Writing

Content Marketing Associate

Fuji Media Agency

Jun 2023 - May 2024 (11 months)

Managed content strategy and timelines across five projects, raising campaign conversion rates from 3% to 7% and increasing organic traffic by 15% through data-driven optimization.