US English



7 Graduate Business Analyst - Treasury CV Templates with Example

By Ria · Last Updated On 19 October 2026
CV example — page 1

This guide shows you how to create a Graduate Business Analyst - Treasury CV that is clear, focused and easy to review. You will learn how to organise relevant evidence so your analysis and business insight stand out.

A strong CV for this role links financial data analysis to useful findings for Treasury and Finance decisions. Clear sections and achievement-led bullet points can show how you have examined liquidity, capital, funding and interest rate risk.

Compare the example presented in 7 layouts through their PNG image previews, then open a preferred version in the editor to customise it. The guide also explains ATS-friendly structure and how to present relevant terms, such as Python, Markets Treasury, data visualisation, reporting and data validation.

What Makes a Great Graduate Business Analyst - Treasury CV in 2026

A strong CV makes your financial analysis easy to scan and connects it to business decisions. Use clear headings and focused bullet points to show your contribution and results.

Include relevant terms such as Python, liquidity, funding, interest rate risk in the banking book, Markets Treasury and data validation. Support achievements with evidence, such as analysing 85,000 simulated records, where relevant.

Note: CV examples are for educational purposes only. Use only information that accurately reflects your experience and qualifications. References to real organisations do not imply affiliation or endorsement.

#1 Simple One Column Format CV Example

One continuous column keeps the CV in a familiar sequence, so recruiters can follow each section from top to bottom.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Recruiters can follow experience, education and credentials in one clear sequence.
  • Achievement bullets stay close to the roles and projects they describe.
  • Full-width text gives detailed sections room without splitting them across columns.

Best For

  • Sequential CV review
  • Full-width experience details
  • Related achievements by role
  • Several supporting sections
  • Simple reading order

CV Keywords

  • treasury analysis
  • Built a Python analysis workflow for 85,000 simulated bank balance-sheet records, examining repricing profiles and interest rate risk in the banking book to compare rate-sensitive exposures.
  • Python
  • Large dataset analysis
  • Data visualisation
  • Financial risk analysis
  • interest rate risk in the banking book
  • funding
  • Markets Treasury
  • Financial reporting
  • business decision support
  • Prototyped automated reporting and evaluated AI tools for summarising recurring outputs, adding validation checks and documenting limitations so the results remained reviewable and reliable for Treasury and Finance colleagues.
  • Automation
  • AI tools
  • Assessed liquidity, capital and funding scenarios with sensitivity analysis
See all keywords
 

#2 Simple Two Column Format CV Example

Two columns give the CV a compact structure, with separate areas that help recruiters scan its sections.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Separate content areas help readers locate education, skills and credentials.
  • Work history can be reviewed alongside other sections without a long vertical scan.
  • The two-column structure accommodates varied content in a compact layout.

Best For

  • Separate experience and supporting details
  • Quick section navigation
  • Mixed-length CV content
  • Compact information layout
  • Side-by-side section review

#3 Plain One Column with Shaded Labels CV Example

A single-column body keeps each CV section in sequence, making this a straightforward choice for top-to-bottom review.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • A clear reading path keeps career history together from role to role.
  • Education and credentials follow the same direct section-by-section order.
  • Achievement details remain within the relevant experience entries.

Best For

  • Top-to-bottom CV reading
  • Continuous career history
  • Role-based achievement details
  • Direct section order
  • Single-column content
 

#4 One Column Format with Photo Right CV Example

A portrait on the right adds a visual feature, while the one-column body keeps CV sections in a familiar sequence.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • The single-column reading path keeps experience and education in sequence.
  • Role details and achievements remain together within each experience entry.
  • A right-side portrait suits readers who prefer a photo on the CV.

Best For

  • Photo-inclusive CV preference
  • Sequential section review
  • Experience grouped by role
  • Direct education and credentials
  • One-column reading
 

#5 Clean Two Column Sidebar Format CV Example

Two columns create a compact CV layout, with a sidebar-style arrangement for readers who want distinct content areas.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Distinct areas help recruiters move between experience and supporting sections.
  • Education and credentials can be found without reading every experience entry.
  • The compact arrangement suits CVs with several types of information.

Best For

  • Distinct content areas
  • CVs with several sections
  • Quick access to credentials
  • Compact information display
  • Separate supporting details
 
 

#6 Two Column Format CV Example

The two-column body places CV information in separate areas, helping readers move between work history and supporting sections.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Separate areas make skills and education easier to locate beside career history.
  • Experience entries remain distinct from other CV sections.
  • The layout supports scanning across several types of information.

Best For

  • Career history with supporting sections
  • Skills and education access
  • Fast section scanning
  • Varied CV information
  • Two-area organisation
 

#7 Photo Header Two Column Format CV Example

A photo header pairs a portrait with a two-column body, combining a visual preference with compact section organisation.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • The two-column body separates experience from other CV sections.
  • Readers can find education and credentials without following one long column.
  • The portrait offers a visual choice without changing the section order.

Best For

  • Photo-inclusive CV preference
  • Compact section organisation
  • Experience beside supporting information
  • Quick access to education
  • Two-column reading
 
 
 

Why Build Your Graduate Business Analyst - Treasury CV with ResumeInMinutes

ResumeInMinutes helps you organise your Treasury analysis, skills and education in a clear CV. Compare the PNG image previews, then open an example in the editor to customise its content and layout.

  • Clear CV layouts
  • Readable section structure
  • Space for relevant keywords
  • Organised skills and experience
  • PNG image previews
  • CV customisation in the editor

Choose a format that makes your analysis and evidence easy to follow. Keep attention on financial data, sound checks and the business value of your findings.

 

See Also

 

Frequently Asked Questions

Are these Graduate Business Analyst - Treasury CV templates ATS-friendly?

The examples use clear headings and sections that are easy to scan. Include relevant terms naturally, such as Python, liquidity, funding, Markets Treasury, financial reporting and data validation.

Are these separate CV examples or different layouts of one example?

This page presents one role-focused CV example in different layouts. Compare the PNG image previews, then open an example in the editor to customise it.

What should a Graduate Business Analyst - Treasury CV include?

Include a focused summary, relevant experience, education, skills and certifications. Show how you have analysed financial data, checked your work and presented useful findings. Relevant evidence may include Python analysis, liquidity and funding scenarios, or automated reporting.

Which CV layout works well for this role?

Choose a layout with clear headings and an easy-to-follow order for your experience, skills and education. A simple structure helps recruiters and applicant tracking systems find key details.

How can I show treasury analysis achievements on my CV?

Write concise bullet points that explain the task, your action and the result. Add supported figures where useful, such as the number of records analysed, and explain how your findings informed decisions.

Should I include a photo on my CV?

A photo is not usually needed for UK applications. Use the space for relevant analysis, skills and evidence instead.

ATS Score 91%

How we calculate this score

  • Keywords: 60% of the total. AI extracts keywords from your job description. If you do not provide one, a standard job description for the title matching your CV is used. This is not a match to a specific vacancy.
  • Text-based CV: 20%. The text CV assessed here receives 100 for this part.
  • CV quality: 20%. We start at 100 and subtract points for issues found by our CV checks, down to a minimum of zero.
  • Keyword coverage = round(100 × confirmed matches ÷ total keywords). Exact matches and supported equivalents verified by AI receive full credit; unsupported keywords receive none. Live text checks use the saved equivalents and do not request a new AI review. Without keywords, no overall ATS score is available.
  • Final score = 60% of keyword coverage + 20% of the text score + 20% of the quality score, rounded to a whole number. Without keywords, no overall ATS score is available.

What this score means

Our scores are estimates, not employer ratings. They may contain errors and do not guarantee accurate parsing, a ranking, an interview, or a job. Check your document against the employer’s requirements. You are responsible for relying on this score.

Terms and Conditions

Score weights: Keywords 60% · Text based CV 20% · CV quality 20%

Keyword coverage: 23 of 27 (85%) · CV quality: 100%

CV quality 100% · Weight 20% · Issues (0)

Details
  • ✓Name present: Archie Ross
  • ✓Email format: archie.ross@example.com
  • ✓Phone format: 07700 90XXXX
  • ✓Experience 1: Job title: Treasury Analytics Capstone Analyst
  • ✓Experience 1: Company name: University Project
  • ✓Experience 1: Work location: Leeds, UK
  • ✓Experience 1: Employment dates: Mar 2026 - Jun 2026
  • ✓Experience 1: Description or achievements: Present
  • ✓Experience 2: Job title: Financial Markets Research Assistant
  • ✓Experience 2: Company name: Academic Research
  • ✓Experience 2: Work location: Leeds, UK
  • ✓Experience 2: Employment dates: Sep 2025 - Feb 2026
  • ✓Experience 2: Description or achievements: Present
  • ✓Experience 3: Job title: Treasury and Finance Lab Analyst
  • ✓Experience 3: Company name: Student Lab
  • ✓Experience 3: Work location: Leeds, UK
  • ✓Experience 3: Employment dates: Oct 2024 - May 2025
  • ✓Experience 3: Description or achievements: Present
  • ✓No placeholder fields
  • ✓No repeated achievement bullets
  • ✓No empty bullets

No issues found by the current checks.

Text Based CV 100% · Weight 20%

Parsed text
Archie Ross
07700 90XXXX
archie.ross@example.com
archieross
Leeds, LS6 2AB
SUMMARY
Economics and Finance graduate with a 2:1, focused on treasury analysis, financial data and business decision support. Use Python to examine large simulated balance sheet datasets, assess liquidity, capital, funding and interest rate risk, and present clear findings for Treasury and Finance decisions. Academic projects include automated reporting and AI tool evaluation, with validation checks to keep outputs reviewable. CISI Investment Securities Qualifications in Derivatives and UK Financial Regulation complement further learning through Fitch, Degreed Pathways, Decoded Digital & Data Literacy and Coursera. Fluent in English and available for full time work from July 2027.
EDUCATION
BSc Economics and Finance, 2:1
2026
University of Leeds
Leeds, UK
TECHNICAL SKILLS
Programming Languages: Python, SQL, R
Data Analysis Libraries: pandas, NumPy, SciPy
Visualisation Tools: Matplotlib, Seaborn, Plotly
Spreadsheet Software: Microsoft Excel, Google Sheets, LibreOffice Calc
Relational Databases: PostgreSQL, MySQL, Microsoft SQL Server
Notebook Environments: Jupyter Notebook, Google Colab, Apache Zeppelin
Business Intelligence: Microsoft Power BI, Tableau, Looker Studio
Version Control: Git, GitHub, GitLab
Development Environments: Visual Studio Code, PyCharm, Spyder
Data File Formats: CSV, JSON, Parquet
SKILLS
Treasury analysis
Financial data analysis
Python
Large dataset analysis
Data visualisation
Liquidity and capital
Financial risk analysis
Interest rate risk
Funding analysis
Markets Treasury
Financial reporting
Decision support
Data validation
Automation and AI
Commercial judgement
EXPERIENCE
Treasury Analytics Capstone Analyst
Mar 2026 - Jun 2026
University Project
Leeds, UK
Built a Python analysis workflow for 85,000 simulated bank balance-sheet records, examining repricing profiles and interest rate risk in the banking book to compare rate-sensitive exposures.
Assessed liquidity, capital and funding scenarios with sensitivity analysis, then visualised trends in concise reporting that explained assumptions and supported evidence-based decisions about financial resilience.
Prototyped automated reporting and evaluated AI tools for summarising recurring outputs, adding validation checks and documenting limitations so the results remained reviewable and reliable for Treasury and Finance colleagues.
Financial Markets Research Assistant
Sep 2025 - Feb 2026
Academic Research
Leeds, UK
Examined how changing market conditions affect funding choices and liquidity in a student research study on global banking, organising source data and recording assumptions for repeatable analysis.
Prepared Markets Treasury and Finance case comparisons that connected risk measures with business decisions, presenting complex findings in clear written briefs and class discussions.
Refined the research approach after supervisor feedback, checking calculations and improving charts to make evidence easier for non-specialist readers to interpret.
Treasury and Finance Lab Analyst
Oct 2024 - May 2025
Student Lab
Leeds, UK
Used Python and spreadsheet models in a supervised banking simulation to review financial data, identify liquidity and risk patterns, and explain the implications to a project group.
Compared basic funding and interest rate scenarios, documenting data-quality issues and questions for review before presenting conclusions.
Worked with classmates to turn technical findings into a concise briefing, strengthening collaboration, curiosity and clear communication through iterative feedback.
LEADERSHIP, AWARDS & RECOGNITION
Awarded the University of Leeds School of Business prize for a clear and well-evidenced final-year analytical presentation, 2026.
Dean’s List, University of Leeds, 2025.
Coordinated peer study-group revision sessions and shared structured economics and finance study notes, 2025-2026.
Represented students in a finance seminar series, gathering questions and helping presenters make technical topics accessible, 2024-2025.
CERTIFICATIONS
CISI Investment Securities Qualification: Derivatives
2026
CISI Investment Securities Qualification: UK Financial Regulation
2026
Fitch treasury and markets learning modules
2026
Degreed Pathways, treasury and financial markets learning
2026
Decoded Digital & Data Literacy
2026
Coursera, Python and financial data analysis coursework
2025
PROFESSIONAL AFFILIATIONS
Member, University of Leeds Economics Society, contributing to an academic community focused on economic and financial issues.
Member, CFA Society UK, participating in a professional community focused on investment and financial markets.
LANGUAGES
English (Proficient)
Spanish (Intermediate)
ADDITIONAL INFORMATION
Available for full-time work from July 2027.

Matched keywords (23)

  • treasury analysis
  • Built a Python analysis workflow for 85,000 simulated bank balance-sheet records, examining repricing profiles and interest rate risk in the banking book to compare rate-sensitive exposures.Original keyword in JD: Complex financial data analysis
  • Python
  • Large dataset analysis
  • Data visualisation
  • Financial risk analysis
  • interest rate risk in the banking book
  • funding
  • Markets Treasury
  • Financial reporting
  • business decision support
  • Prototyped automated reporting and evaluated AI tools for summarising recurring outputs, adding validation checks and documenting limitations so the results remained reviewable and reliable for Treasury and Finance colleagues.Original keyword in JD: Digital reporting improvement
  • Automation
  • AI tools
  • Assessed liquidity, capital and funding scenarios with sensitivity analysisOriginal keyword in JD: Analytical thinking
  • Commercial judgement
  • global banking
  • financial resilience
  • CISI Investment Securities Qualification: Derivatives
  • CISI Investment Securities Qualification: UK Financial Regulation
  • BSc Economics and Finance, 2:1Original keyword in JD: Degree at 2:1 level or above OR overseas equivalent
  • Fluent in EnglishOriginal keyword in JD: Fluent English
  • available for full time work from July 2027.Original keyword in JD: Full-time availability from July 2027

Missing keywords (4)

  • Liquidity management
  • Capital management
  • Treasury and Finance collaboration
  • Studies completed by July 2027
Disclaimer: All names, images, contact information, employment histories, achievements, security clearances, military credentials, and other qualifications shown in this content are fictional and used for illustrative purposes only. Any resemblance to actual persons, living or deceased, is purely coincidental.

CV and cover letter examples and recommendations in this article reflect general best practices and professional experience and are provided for guidance only. Results may vary based on role, industry, region, and hiring organisation.

Content Accuracy and Verification: To the fullest extent permitted by applicable law, we do not represent or warrant that CV or cover letter guidance, examples, recommendations, or related information are accurate, complete, current, error-free, or suitable for any particular purpose. You are responsible for independently reviewing and verifying the information before relying on it.

ATS and Cover Letter Scores: ATS scores are estimates calculated using our own formula, informed by publicly available guidance on CV formatting and keyword matching. They are not scores issued or endorsed by an ATS provider or employer. Cover letter scores are also our own assessments. Parsing, weighting, screening criteria, and results vary between systems, employers, job descriptions, and document formats. No score guarantees successful parsing, a particular ranking, an interview, or employment. Use scores as general guidance and independently check your documents against the employer’s requirements. To the fullest extent permitted by applicable law, we accept no liability for errors in scores or parsing, or losses arising from reliance on these assessments. Nothing in this notice excludes liability or limits consumer rights that cannot lawfully be excluded or limited.

Terms and Conditions
 
> JP 1 1
PDF Footer and Margins Setup
The margins are applied to the document, and the footer appears in both the preview and the PDF

Footer Font Settings

Are you applying for a specific job
so we can tailor your CV to it?
Are you applying for a specific job
so we can tailor your cover letter to it?

Your data stays private and is never used for training.Privacy Policy

Type your details as text to generate a personalised CV Type your details as text to generate a personalised cover letter
Website link found! Ready to create CV from:

Your data stays private and is never used for training.Privacy Policy

Drag the into the box to verify you're human.
Drop here

My CVs

Showing {number_of_files} files (out of {total_of_all_files} total)
Name File Type Last Modified: Description:

Rename File

Filename already exists!

Delete Files

Warning: This action is irreversible. Once you click submit, the files will be permanently deleted.

Heading text
Upload From Computer Upload
Select From Existing
LinkedIn
Drag & Drop files anywhere in this tab, or

Uploaded Files

Delete Name Last Updated Use This File
Select this to use the file for generating your CV and cover letter. Only one source—uploaded file, selected file, or LinkedIn text—can be used.

My Files

CVs or cover letters you create will appear here. No files available yet.
Delete Name Last Updated Use This File
Select this to use the file for generating your CV and cover letter. Only one source—uploaded file, selected file, or LinkedIn text—can be used.

Add LinkedIn Profile PDF

You can download your LinkedIn profile as a PDF by opening linkedin.com in a web browser, clicking your profile photo, selecting the “More” or “Resources” button, and choosing “Save to PDF.” You can then attach the PDF using the Upload From Computer tab.

Paste Your LinkedIn Profile Text

If you have copied the LinkedIn profile text, paste it below. See how to copy your profile from LinkedIn

Select this to use the LinkedIn profile text for generating your CV and covering letter. Only one source—uploaded file, selected file, or LinkedIn text—can be used.

Try these controls

<
>