Background
I am a Finance Data Engineer and MSc Mathematics candidate with 5 years of experience in the financial sector. Currently, I balance my work at Legal & General (Asset Management) with my postgraduate studies, where I am writing my dissertation on the Direct Method of the Calculus of Variations.
Alongside this, I am actively building new portfolio projects to accelerate my technical growth. As a first-generation university student, I am deeply passionate about making mathematics accessible and practical. I bring a powerful combination of mathematics and software engineering, and I am looking to join a forward-thinking team where I can continue to grow and do more maths.
Education
MSc in Mathematics (Expected Distinction)
Cardiff University | Sep. 2025 – Sep. 2026
- Dissertation: Applications of the Direct Method of the Calculus of Variations to solve optimisation problems in financial and applied mathematics.
- Selected Modules: Financial Mathematics, Time Series Analysis, Stochastic Optimisation, Calculus of Variations, Mathematical Methods for Data Mining.
BSc in Mathematics (First-Class Honours)
Aberystwyth University | Sep. 2018 – Jun. 2021
- Graduated with First-Class Honours, building a strong foundation in quantitative modelling and scientific computing.
- Top Modules: Linear Statistical Models (92%), Numerical Analysis (88%), Hydrodynamics II (83%), Partial Differential Equations (77%).
Professional Experience
Finance Data Engineer
Legal & General (Asset Management) | Sep. 2023 – Present
- Investigate and resolve multi-million-pound financial discrepancies under high-pressure conditions.
- Refactor legacy Alteryx workflows into scalable, production-grade C# and SQL Server solutions.
- Independently executed a full architectural rebuild of the critical ESG data pipeline to satisfy strict audit requirements.
Fraud Data Analyst
Admiral Group | Jul. 2021 – Sep. 2023
- Led the migration of legacy fraud detection pipelines from SAS DI to Google Cloud Platform (GCP).
- Partnered with data science to deploy a fraud prediction ML model, directly contributing to the recovery of over £500,000 in fraudulent claims.
- Engineered SQL-based detection rules and designed Looker dashboards for non-technical stakeholders.
Interests & Goals
🎯 Personal Interests
Outside of work and study, I enjoy cycling, playing guitar, and Magic: The Gathering. Like many in tech, I also enjoy gaming (and may have spent a bit too much time on Cookie Clicker while revising for my MSc exams!).
🚀 Long-Term Vision
My goal is to find a mathematically stimulating role where I can make a tangible difference. While I'd love to pursue a PhD eventually, my current focus is on an industry role where I can apply my skills directly. I firmly believe you don't need a formal institution to discover and enjoy mathematics.
🤝 Professional Motivation
I love building tools that genuinely help people—like automating tedious workflows so colleagues can get home to their families. I want to be challenged by hard problems so I can proudly point to a finished system and say, "I built that."
🌍 Outreach & Advocacy
Coming from a single-parent, low-income household as a first-generation university student, I understand the transformative power of education on social mobility. I hope to get involved in STEM outreach soon, as I strongly believe UK math education needs reform to be more accessible and engaging.