Jun 2026
— Aug 2026

03 / Industry · Internship

Quantitative Developer Intern

BlackRock · Portfolio Risk Engineering

London, UK

Python Financial Engineering Risk Modelling Agentic Workflows
  • Built and deployed an agentic Python pipeline diagnosing daily Quality Control exceptions across 34 equity factor risk models on Aladdin, isolating root causes across rule logic, model code, and factor exposure inputs.
  • Architected the tool as 15 specialised diagnostic skills, one per QC check, spanning statistical diagnostics (standardised factor returns, empirical vs structural risk divergence) and coverage checks.
  • Adopted by Aladdin Financial Engineering researchers for daily model sign-off across 8,340+ assets, replacing manual investigation and cutting per-exception triage from 30-60 minutes to under 5.

Jun 2025
— Jun 2026

02 / Industry · Placement

Software Engineering Placement

UBS · Emerging Technology

London, UK

Python Azure SQL LightGBM Terraform
  • Built the team's first ticket volume forecasting model in LightGBM on Databricks, engineering lag features across two-week folds on a six-month holdout, reaching a MASE of 0.74 and replacing manual workload estimates.
  • Implemented AI governance KPIs (materiality, answer relevancy, context relevancy, and faithfulness) in Python for a RAG-based internal tool serving 40,000 users and 200,000 queries per month, required for FINMA audit compliance.
  • Designed schemas and authored the SQL migrating 45+ tables and millions of rows from a legacy on-premise reporting platform to Azure Data Lake, validating parity against source ahead of decommissioning.
  • Owned the migration and rollout of RBAC authorisation automations across 14 Azure Cognitive Services bank-wide, eliminating 20+ daily manual access approvals and strengthening UBS's cloud security posture.
  • Analysed query volume and latency telemetry across the bank's Azure AI Search estate to prove viable Basic tier production load ahead of private VNET support shipping, enabling £85k/month in projected savings.

Jul 2019

01 / Industry · Work Experience

Security Services Work Experience

BNP Paribas

London, UK

Risk Analysis Compliance Financial Data
  • Supported security and risk teams with data analysis and reporting.
  • Gained early exposure to financial security frameworks and compliance standards in a global bank.

Education

2023 — 2027 · BSc

Computer Science and Artificial Intelligence (with Placement Year)

University of Sheffield

  • Predicted First-Class Honours (72% average, Year 2).
  • Relevant modules: Advanced Algorithms, Reinforcement Learning, Modelling and Simulation of Natural Systems.
  • Dissertation: Monitoring Preterm Infant Breathing via low-cost wireless accelerometry, estimating respiratory rate from chest-worn accelerometer signals to flag apnoea, with the Centre for Infectious Disease Research in Zambia.

2020 — 2022 · A-Levels

Mathematics, Further Mathematics, Computer Science

Hampton College, Peterborough

  • Grades: A*AA.
  • Awarded the Pink Kangaroo certificate in the UKMT Intermediate Mathematical Challenge, achieving the top score in the year group.