I'm Matthew Roche, a Mathematics and Finance undergraduate at the University of York, interested in the questions that connect mathematical theory to real-world problems.
I am a BSc Mathematics and Finance undergraduate at the University of York, passionate about mathematical research, quantitative finance and computational modelling.
My primary academic interests span mathematical finance, probability theory, stochastic processes and numerical methods for complex analytical problems.
Alongside my degree, I develop practical programming and quantitative skills using Python, R, SQL, Excel and LaTeX. I'm particularly interested in the intersection of artificial intelligence, mathematical reasoning and statistical frameworks for modelling real-world systems.
I'm always open to connecting with academics, quantitative researchers and industry professionals working in quantitative finance and applied mathematics.
Academic background, selected modules and areas that currently shape my interests.
An interdisciplinary degree developing foundations in rigorous mathematics, economics, finance and quantitative analysis.
Across six first-year modules
Multivariable Calculus & Matrices
| MODULE | CODE | MARK | PERFORMANCE |
|---|---|---|---|
| Multivariable Calculus & Matrices | MAT00014C | 86% | |
| Data, Evidence & Policy | ECO00019C | 75% | |
| Principles of Economics | ECO00023C | 73% | |
| Foundations & Calculus | MAT00012C | 70% | |
| Introduction to Finance | ECO00021C | 66% | |
| Introduction to Probability & Statistics | MAT00004C | 61% |
Earlier education: A Levels in Business, Computer Science and Mathematics (ABB).
Python · R · SQL · Visual Basic
Excel · LaTeX · Git / GitHub · SQL Server
Calculus · Linear algebra · Probability · Statistics
A selection of programming and data projects where mathematics meets practical problem-solving.
Built a dataset of 684 race-linked observations spanning the 2021–2025 Formula One seasons, combining race results with equity-price data to investigate relationships between sporting outcomes and stock returns.
Designed a database-backed desktop application with employee records, absence tracking, training information and reporting, using a relational SQL Server database and a Python interface.
A place for ongoing investigations, mathematical ideas and technical writing as they develop.
Current investigations, research notes, academic posters and working papers will be collected here.
Accessible explanations, longer essays and occasional thoughts on mathematics, economics, finance and computation.
Good questions lead to better models. Better models lead to a deeper understanding.
One-to-one tutoring grounded in clear explanations, patience and carefully prepared materials.
I provide private tutoring in Mathematics, Business and Computer Science, supporting students across KS3, GCSE and A Level. Lessons are adapted to each student's goals, whether building foundations, mastering difficult topics or preparing for examinations.
Enquire about tutoringTeaching tailored to the learner's level, strengths and areas for improvement.
Custom LaTeX worksheets, practice papers, worked solutions and revision materials.
Structured revision, problem-solving strategies and careful practice with exam-style questions.
Worksheets, revision guides and practice papers will be added here as a downloadable resource library.
OPEN TO ACADEMIC CONVERSATIONS, INDUSTRY CONNECTIONS & TUTORING ENQUIRIES
Interested in quantitative research, applied mathematics, a project collaboration or tutoring? I'd be pleased to hear from you.
+44 (0)7754 931683