AI
UK
US English

7 Graduate Quantitative Developer - HFT / Low-Latency Systems CV Templates with Example

By Ria · Last Updated On 19 October 2026
View in Editor
Generate a Free CV Like This
CV example — page 1
Generate a Free CV Like ThisView This CV in EditorView in Editor

This guide shows you how to create a clear, focused Graduate Quantitative Developer - HFT / Low-Latency Systems CV. Learn how to organise your evidence so recruiters can quickly see your fit for this exact role.

Strong CVs for this work connect systems programming to dependable trading software. Use specific bullets to show how you have tested performance, handled market data, and investigated system behaviour.

Explore the example presented in 7 layouts, compare the PNG image previews, and open a preferred layout in the editor to customise it. The guide also covers ATS-friendly structure and relevant terms such as C++, concurrency, exchange protocols, order-entry APIs, profiling and backtesting.

What Makes a Great Graduate Quantitative Developer - HFT / Low-Latency Systems CV in 2026

A strong CV makes systems work easy to assess. Clear bullets link your role in a project to testing, performance or reliable software outcomes.

Use relevant terms such as C++, low-latency development, concurrency, market data feeds and exchange simulators. Add results only when you can support them with evidence.

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

A single vertical column keeps the CV’s sections in one reading sequence, helping reviewers follow its content from top to bottom.

 
CV example — page 1   CV example — page 2
Generate a Free CV Like This

Why This Format Works

  • Experience and projects follow one vertical route, making career progression easy to trace.
  • Skills and education stay within the same sequence as technical experience.
  • Consistent section order helps reviewers locate key qualifications without navigating across separate areas.

Best For

  • Straightforward top-to-bottom reading
  • A clear career history
  • Projects with detailed entries
  • Skills and education in one sequence
  • A traditional CV structure

CV Keywords

  • Bachelor of Science (BSc) in Computer Science, First-Class Honours
  • C
  • Low-Latency Trading Systems
  • Systems programming
  • Performance optimisation
  • problem-solving
  • Concurrency
  • Networking
  • Memory management
  • algorithmic problem-solving
  • Market data feeds
  • exchange protocols
  • order-entry APIs
  • Exchange architecture
  • reliable production code
See all keywords
 

#2 Simple Two Column Format CV Example

Two parallel columns give the CV a compact, organised structure, helping reviewers scan its sections across distinct areas.

 
CV example — page 1   CV example — page 2
Generate a Free CV Like This

Why This Format Works

  • Parallel columns give substantial experience and project entries room to breathe.
  • Skills and education can be set apart from detailed project descriptions.
  • A clear column reading order helps reviewers move through sections consistently.

Best For

  • CVs with several content sections
  • Detailed project and experience entries
  • Skills alongside career history
  • Readers who scan across columns
  • A compact information structure

#3 Plain One Column with Shaded Labels CV Example

A single-column layout places each CV section in a clear vertical order, making it easy to follow the document from start to finish.

 
CV example — page 1   CV example — page 2
Generate a Free CV Like This

Why This Format Works

  • The vertical sequence lets reviewers follow experience and education in a familiar order.
  • Projects and work history can be read without moving between columns.
  • A single content path keeps skills and supporting details within the same flow.

Best For

  • A familiar reading sequence
  • Chronological career details
  • Projects beside related experience
  • Skills within a continuous CV
  • Readers who prefer one column
 

#4 One Column Format with Photo Right CV Example

The right-side photo adds a visible identity cue, while the one-column body keeps the CV’s sections in a straightforward reading sequence.

 
CV example — page 1   CV example — page 2
Generate a Free CV Like This

Why This Format Works

  • One vertical content path keeps experience and project details easy to follow.
  • The right-side photo gives the document a clear visual point of identity.
  • Skills and education remain part of the same reading sequence as work history.

Best For

  • A CV with a portrait
  • One-column reading preference
  • A clear sequence of experience
  • Projects and education in one flow
  • A visible identity element
 

#5 Clean Two Column Sidebar Format CV Example

Two columns give this CV a clear division between information areas, helping reviewers find sections without losing the overall reading order.

 
CV example — page 1   CV example — page 2
Generate a Free CV Like This

Why This Format Works

  • Separate content areas help distinguish career history from supporting information.
  • The column structure gives skills and education a clear place in the CV.
  • Experience and project entries remain easier to scan as distinct sections.

Best For

  • CVs with varied section types
  • Experience with supporting details
  • Skills and education in separate areas
  • Quick section-by-section review
  • A two-column reading preference
 
 

#6 Two Column Format CV Example

The two-column body presents CV information in parallel areas, offering a practical structure for readers who want to scan separate sections.

 
CV example — page 1   CV example — page 2
Generate a Free CV Like This

Why This Format Works

  • Parallel areas make it easier to distinguish experience from other CV sections.
  • The layout can accommodate detailed projects alongside supporting information.
  • A clear division helps reviewers return to skills and education as needed.

Best For

  • Readers who scan separate areas
  • Detailed project descriptions
  • Experience alongside other CV sections
  • Skills and education in parallel
  • A two-column information layout
 

#7 Photo Header Two Column Format CV Example

A photo in the header adds a visible identity element above the two-column CV body, which keeps the main content arranged in parallel areas.

 
CV example — page 1   CV example — page 2
Generate a Free CV Like This

Why This Format Works

  • The two-column body separates career details from other information areas.
  • The photo sits in the header, apart from the main CV content.
  • Parallel sections let reviewers scan experience and supporting details in turn.

Best For

  • A CV with a photo header
  • Two-column reading preference
  • Career details with supporting sections
  • Readers scanning parallel information areas
  • A distinct header and body
 
 
 

Why Build Your Graduate Quantitative Developer - HFT / Low-Latency Systems CV with ResumeInMinutes

ResumeInMinutes helps you organise technical projects, experience, education and skills in a clear CV. Compare 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 technical terms
  • Organised skills and experience
  • PNG image previews
  • CV customisation in the editor

Choose the layout that makes your technical evidence easiest to follow. Give clear space to C++ systems work, performance testing, trading projects and measurable results.

 

See Also

 

Frequently Asked Questions

Are these Graduate Quantitative Developer - HFT / Low-Latency Systems CV templates ATS-friendly?

The examples use clear headings and sections to make key details easier to scan. Include relevant terms naturally, such as C++, low-latency systems, concurrency, market data feeds, exchange protocols and backtesting.

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 a layout in the editor to customise it.

What should a Graduate Quantitative Developer - HFT / Low-Latency Systems CV include?

Include a focused summary, relevant experience, education, technical skills and substantial projects. Show evidence of systems programming, performance testing, networking, exchange simulation or algorithmic problem-solving where it applies to your background.

Which CV layout works well for this role?

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

How can I show low-latency development work on my CV?

Use concise bullet points to explain the system, your contribution and how you tested the result. Where available, include supported benchmark or load-test findings, and explain the performance trade-offs you considered.

Should I include a photo on my CV?

For UK applications, a photo is usually not needed. Use the space for relevant projects, skills and evidence of your technical work instead.

ATS score and CV checks

Generate a Free CV Like ThisView in Editor

ATS Score 98%

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: 33 of 34 (97%) · CV quality: 100%

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

Details
  • ✓Name present: Matthew King
  • ✓Email format: matthew.king@example.com
  • ✓Phone format: 07700 90XXXX
  • ✓Experience 1: Job title: Low-Latency Trading Systems Capstone
  • ✓Experience 1: Company name: University Project
  • ✓Experience 1: Work location: Bristol, Bristol
  • ✓Experience 1: Employment dates: Sep 2025 - May 2026
  • ✓Experience 1: Description or achievements: Present
  • ✓Experience 2: Job title: Quantitative Developer Intern
  • ✓Experience 2: Company name: University Quantitative Systems Lab
  • ✓Experience 2: Work location: Cambridge, Cambridgeshire
  • ✓Experience 2: Employment dates: Jun 2025 - Aug 2025
  • ✓Experience 2: Description or achievements: Present
  • ✓Experience 3: Job title: Market Data and Algorithmic Trading Research Project
  • ✓Experience 3: Company name: University Project
  • ✓Experience 3: Work location: Bristol, Bristol
  • ✓Experience 3: Employment dates: Jan 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
Matthew King
07700 90XXXX
matthew.king@example.com
matthewking
Cambridge, Cambridgeshire, CB2 1TN
SUMMARY
Computer Science graduate and quantitative developer with a First-Class honours degree and practical experience building C++ systems for electronic trading research. Work with quantitative researchers and trading mentors to turn strategy requirements into testable components for exchange simulation and backtesting. Use profiling, replay and load tests to investigate latency and execution behaviour, then document design choices that support reliable, production-oriented development. Competitive programming and substantial projects beyond standard coursework demonstrate algorithmic problem-solving, with hands-on exposure to market data, exchange protocols and order-entry APIs.
EDUCATION
Bachelor of Science (BSc) in Computer Science, First-Class Honours
2026
University of Bristol
Bristol, UK
TECHNICAL SKILLS
Programming Languages: C++, Java, Rust
Operating Systems: Linux, Ubuntu, Debian
Network Protocols: TCP, UDP, IPv4
Data Serialisation: Protocol Buffers, JSON, XML
Build Tools: CMake, Make, Ninja
Testing Frameworks: GoogleTest, Catch2, doctest
Version Control: Git, Subversion, Mercurial
Performance Tools: Linux perf, Valgrind, gprof
Market Data Formats: FIX, FAST, ITCH
Database Systems: SQLite, PostgreSQL, MySQL
SKILLS
C++
Systems programming
Algorithms
Data structures
Low-latency development
Performance optimisation
Concurrency
Networking
Memory management
Exchange architecture
Market data feeds
Exchange protocols
Order-entry APIs
Electronic trading
Backtesting
EXPERIENCE
Low-Latency Trading Systems Capstone
Sep 2025 - May 2026
University Project
Bristol, Bristol
Designed a C++ trading system prototype around exchange architecture concepts, separating market data ingestion, order management and strategy evaluation into testable components.
Implemented networking and concurrent message processing for simulated exchange protocols, then used repeatable load tests to locate latency bottlenecks and assess throughput under bursty feeds.
Compared memory allocation approaches and data structures with benchmark-driven performance optimisation, recording the effect of each change and retaining the simplest reliable implementation.
Produced backtesting infrastructure that replayed historical-style market data through an exchange simulator, enabling evaluation of execution rules and system behaviour across controlled scenarios.
Presented the prototype, design decisions and limitations to academic assessors, with detailed documentation covering reliability, testing and the transition from research code towards production-quality practices.
Quantitative Developer Intern
Jun 2025 - Aug 2025
University Quantitative Systems Lab
Cambridge, Cambridgeshire
Built C++ components for a supervised HFT and market-making research prototype, converting order-entry protocol messages into a simulated order book and timestamped market data feeds.
Worked with a quantitative researcher and trading mentor to connect a basic strategy from research into a paper-trading workflow, documenting assumptions and checking execution behaviour against recorded market sessions.
Improved a performance-sensitive event-processing path through profiling, cache-conscious data structures and memory-management changes; benchmark results guided review of latency trade-offs before changes entered a supervised build of reliable production code.
Added concurrent network-feed handling and deterministic replay tests, helping the project reproduce out-of-order messages and investigate system behaviour without placing live orders.
Extended the team’s backtesting infrastructure with exchange simulator scenarios and clear test reports, giving researchers a consistent way to compare strategy outputs and execution edge cases.
Market Data and Algorithmic Trading Research Project
Jan 2024 - May 2025
University Project
Bristol, Bristol
Created a substantial project beyond standard coursework to explore electronic trading, using C++ to process tick-level sample data and compare simple strategy logic in a simulated market.
Implemented a small order-entry API and protocol parser, validating message handling with edge-case tests and documenting how exchange protocol assumptions affected simulated execution.
Used algorithmic analysis and competitive programming practice to improve event ordering and order-book operations, presenting complexity trade-offs and correctness checks in the final project review.
Investigated latency and execution outcomes across replay scenarios, distinguishing strategy results from delays introduced by data handling and simulation choices.
LEADERSHIP, AWARDS & RECOGNITION
Placed second in the inter-university team division of the University Programming Contest in 2025, demonstrating algorithmic problem-solving under timed competition conditions.
Received a 2025 Faculty Commendation for the Market Data and Algorithmic Trading Research Project.
Mentored first-year students in programming practicals from 2024 to 2025, helping peers debug code and work through algorithms and code review.
Organised Programming Society contest sessions from 2024 to 2026, coordinating practice problems and peer-led solution discussions.
CERTIFICATIONS
C++ Concurrency and Performance, short course, University Continuing Education
2025
Linux Systems Programming, university continuing education course
2024
PROFESSIONAL AFFILIATIONS
Association for Computing Machinery (ACM), professional member, supporting continued engagement with computing research and practice.
British Computer Society (BCS), professional member, maintaining a connection with the UK computing profession.
LANGUAGES
English (Native)
French (Beginner)

Matched keywords (33)

  • Bachelor of Science (BSc) in Computer Science, First-Class HonoursOriginal keyword in JD: Bachelor’s OR Master’s degree in Computer Science OR Mathematics OR Physics OR Engineering OR another highly technical discipline
  • COriginal keyword in JD: Proficiency in at least one of C++ OR Java OR Rust OR Golang OR C#
  • Low-Latency Trading Systems
  • Systems programming
  • Performance optimisation
  • problem-solving
  • Concurrency
  • Networking
  • Memory management
  • algorithmic problem-solving
  • Market data feeds
  • exchange protocols
  • order-entry APIs
  • Exchange architecture
  • reliable production code
  • used repeatable load tests to locate latency bottlenecksOriginal keyword in JD: Latency investigation
  • checking execution behaviour against recorded market sessionsOriginal keyword in JD: Execution analysis
  • investigate system behaviour without placing live ordersOriginal keyword in JD: System behaviour analysis
  • Testing
  • electronic trading
  • Built C++ components for a supervised HFT and market-making research prototypeOriginal keyword in JD: High-frequency trading
  • explore electronic trading, using C++ to process tick-level sample data and compare simple strategy logic in a simulated marketOriginal keyword in JD: Financial markets
  • Worked with a quantitative researcher and trading mentor to connect a basic strategy from research into a paper-trading workflowOriginal keyword in JD: Quantitative trading
  • market-making
  • Trading Systems
  • the transition from research code towards production-quality practicesOriginal keyword in JD: Research-to-production development
  • Improved a performance-sensitive event-processing path through profiling, cache-conscious data structures and memory-management changesOriginal keyword in JD: High-performance software engineering
  • a simulated marketOriginal keyword in JD: Exchange simulators
  • backtesting infrastructure
  • Competitive programming
  • Created a substantial project beyond standard courseworkOriginal keyword in JD: Substantial technical projects beyond standard university coursework
  • First-Class honoursOriginal keyword in JD: Strong academic performance
  • validating message handling with edge-case testsOriginal keyword in JD: Attention to detail

Missing keywords (1)

  • Collaboration with traders and quantitative researchers
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:
Skip this Step

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

<
>