Curriculum vitae

Yu-Chen Chao (趙于楨)

Accounting and finance graduate · empirical research on digital payments and bank income

New Taipei City, Taiwan · +65 85050726 · chaoglay1101@gmail.com · linkedin.com/in/yu-chen-chao · github.com/chaoglay1101-del

Portrait of Yu-Chen Chao
In two minutes

This CV in six steps

The same record as below, told in order: where the research question came from, what I built, what it found, and what I want to study next. Present it to step through one highlight at a time.

Who I am

Accounting and finance graduate, doing empirical research on digital payments

BSc (Hons) Accounting and Finance from the University of Birmingham, taught in English at its Singapore campus: Class II (Division I), GPA 3.25, with the degree to be conferred on 12 November 2026. I am seeking graduate roles in financial data analysis and master's study in finance or business analytics.

Where the question came from

A coursework finding became my research question

In my Business Analytics Tableau story, submitted in December 2025, digital payment use ran ahead of debit-card ownership. That raised the question my final-year project tested: what happens to banks' fee income as payments move away from cards?

What I studied

A bank panel I built and estimated myself

39 commercial banks in Indonesia, Malaysia and Thailand, 344 bank-year observations, 2014–2022. I built the Python pipeline, merged in the IMF digital-payment indicator, and estimated bank and year fixed-effects models with bank-clustered standard errors. The research report scored 80/100, above the cohort's upper quartile.

What it found

A negative association, stated with its limits

The log model shows a negative, statistically significant pooled association between digital payment pressure and net fee margins. The decomposition suggests it comes mainly from differences between countries, so I report a conditional association, not a causal effect.

See the findings step by step on the research page

Practice

Tax advisory internship: evidence and procedures

At Evershine CPAs, from July to September 2025, I worked on Philippines tax incentive applications, preparing and checking supporting documentation, including BOI Form 501. I also mapped the procedure into SOP flowcharts that the team used for the workflow and for handover.

What next

From associations to identification

In master's study I want to test designs that can identify an effect: event studies around staggered payment-licensing reforms, inference suited to few clusters, and fee income broken down into payments, cards and merchant services.

    Education, research and practice, 2023–2027

    Dates as on this CV. The final-year project is drawn across the 2025–26 academic year; hover or tab to a bar for its dates.

    Profile

    I am seeking graduate roles in financial data analysis, banking analytics, and FinTech strategy, and master's study in finance or business analytics.

    Accounting and finance graduate with a completed empirical research project on digital payment pressure and bank net fee margins in an ASEAN-3 bank panel (39 banks, 344 bank-year observations, 2014–2022). Comfortable across the whole research workflow: building a clean panel dataset, documenting variable definitions, estimating fixed-effects models with clustered standard errors, testing robustness, and communicating what the evidence does and does not support. Additional experience in Tableau data storytelling and cross-border tax work.

    Education

    Degree

    BSc (Hons) Accounting and Finance — University of Birmingham

    September 2024 – June 2026 · Degree to be conferred 12 November 2026 · Class II (Division I) · Overall weighted mark 61/100 · GPA 3.25

    University of Birmingham · Singapore · Campus: Totally Taught Abroad · Language of instruction: English.

    Diploma

    SIM Diploma in International Business

    April 2023 – June 2024

    Research experience

    • 2025–2026 · Final-year project

      Digital payment pressure and bank net fee margins — ASEAN-3 bank panel

      Accounting and Finance Research Project · University of Birmingham

      Research report component: 80/100 (65% of module; module total 77/100 on transcript) · above the component's upper quartile (73), i.e. top 25%; cohort mean 67, maximum 84

      • Designed the study around an explicit research question and defined the estimation sample: 39 listed commercial banks, 344 bank-year observations, 2014–2022.
      • Built a Python pipeline to prepare the bank panel, discover and extract the IMF Financial Access Survey indicator IMF_FAS_FCMIBT, and merge the country-year measure into the bank-year panel.
      • Constructed Net_Fee_Margin and financial controls, winsorised continuous variables at the 1st and 99th percentiles, and formed a complete-case estimation sample.
      • Estimated bank and year fixed-effects models with bank-clustered standard errors using linearmodels, then tested log, bank-size interaction, nonlinear and country-subsample specifications; checked the result with Driscoll–Kraay errors, a Mundlak decomposition, a one-year lag and a net-interest-margin placebo.
      • Reported results as conditional associations, stating the data-level, coverage, and omitted-variable limitations explicitly.
      • Published a public research report, variable definitions, and a methodology appendix, plus a runnable synthetic fixed-effects example with an automated test.
      • Python
      • pandas
      • NumPy
      • linearmodels
      • statsmodels
      • matplotlib
      • pytest
      • Git and GitHub
    • Business Analytics coursework

      Mobile money adoption in the Global South — Tableau story

      Business Analytics module · University of Birmingham

      Tableau assignment 70/100 (module mark 70/100 on transcript) · equal to the cohort's upper quartile (70); cohort mean 63.7, maximum 76

      • Cleaned and documented the dataset in a data-cleaning log, then designed an interactive Tableau story covering adoption trends, regional comparison, and inclusion drivers.
      • Presented the findings as a management narrative and published the story on Tableau Public.
      • Mapped 437 coded World Bank Findex fields across 174 economies and 12 population groups into 24 business-readable measures, then excluded the 2011 and 2022 waves for coverage, leaving 171 economies and four survey waves (2014–2024).
      • Findings: mobile money adoption leads in Sub-Saharan Africa; digital payment use runs ahead of debit-card ownership; savings lag far behind payment usage; and mobile money drives women's financial participation more than traditional banking does.
      • Submitted December 2025. Its finding that digital payment use runs ahead of debit-card ownership raised the question my final-year project then tested: what happens to banks' fee income as payments move away from cards.
      • Tableau
      • Tableau Story and filters
      • Tableau calculated fields
      • Tableau Public
      • Excel
      • Python data preparation
      • World Bank Global Findex

    Technical skills

    Where each skill shows up in this CV

    Pick a skill to mark the lines in this CV that show it; press it again to move to the next line.

    Programming and libraries

    • Python 3.14 — pandas, NumPy, linearmodels, statsmodels, matplotlib, openpyxl, requests, BeautifulSoup4, python-docx.
    • Reproducible environments with uv and dependency lock files; automated tests with pytest.
    • Version control and collaboration with Git and GitHub, including a continuous-integration workflow.

    Econometrics and statistics

    • Panel data models with bank and year fixed effects; bank-clustered standard errors.
    • Variable transformation and cleaning: log measures, rescaled variables, centred terms, interaction terms, and 1st/99th percentile winsorisation.
    • Robustness analysis, subsample estimation, and between-within decomposition.

    Data sources and tools

    • Bank financial data retrieved through WRDS-derived sources; IMF Financial Access Survey indicators.
    • Tableau: dashboards and data stories for non-technical audiences.
    • Excel and openpyxl for data preparation, validation, and reconciliation.

    Finance and accounting knowledge

    • Financial statement analysis, bank profitability and margin analysis, non-interest income.
    • Digital payments, FinTech, and financial inclusion.
    • Cross-border tax and compliance documentation.

    Professional experience

    • July – September 2025

      Intern, tax advisory team

      Evershine CPAs Firm (永輝啟佳聯合會計師事務所)

      • Assisted on Philippines tax incentive applications, preparing and checking supporting documentation.
      • Mapped standard operating procedures (SOP) and turned them into flowcharts for the application process.
      • Deliverable: SOP flowcharts covering the tax incentive application workflow.
      Internship certificate. Personal information has been redacted.
      Open certificate PDF

    Selected projects and links

    Additional information

    Languages

    • Chinese (Mandarin) — native.
    • English — language of instruction for the degree.

    Notes

    • Research data restrictions mean the thesis bank panel cannot be published; the public repository therefore provides the documented workflow and a runnable synthetic example instead.
    • This CV is generated from the same source as the rest of this site, so it stays consistent with the published research pages.