About

Professional profile

I am a quantitative and AI-focused analyst with over twelve years' experience across investment management, global markets and data. I currently work at Shell as a Senior AI and Commodities Business Analyst, helping to bring generative AI into trading.

Before that I spent more than a decade at BNY in London, most recently as a Quantitative Trading Analyst in Global Markets Trading. There I built analytics and AI tools used by Sales and Trading, including an LLM-powered PnL Explainer and models that measure the value of FX trading flow, and supported institutional clients across Central and Eastern Europe, Central Asia, the Gulf and Africa. Earlier roles covered liquidity and money market funds, and asset servicing.

Experience

2026 to presentSenior AI and Commodities Business Analyst
Shell
2019 to 2026Quantitative Trading Analyst, Global Markets Trading
BNY
2018 to 2019Senior Market Business Analyst, Liquidity and Money Market Funds
BNY
2015 to 2018Business Analyst, Asset Servicing
BNY

Education

MSc Financial Computing

Queen Mary University of London · Grade: Distinction

A joint programme of the School of Mathematical Sciences and the School of Electronic Engineering and Computer Science, combining mathematical finance with modern computing. It prepares graduates for roles such as Quantitative Analyst, Quantitative Developer and Quantitative Trader.

Mathematical finance

  • Key concepts in probability theory
  • Introduction to financial markets
  • Pricing derivatives by no-arbitrage arguments
  • Discrete-time option pricing models
  • Continuous-time stochastic processes and the Black-Scholes model

Computing and data

  • Machine Learning
  • Object-Oriented Programming
  • Big Data Processing
  • Functional Programming
  • Data Analytics

Dissertation: Bi-variate Black-Scholes model, a study on European Basket option pricing. Read the summary and download the paper.

BSc Mathematics

Queen Mary University of London · Upper Second Class Honours (2:1)

Actuarial Mathematics and Mathematical FinanceAn understanding of the financial sector, applying actuarial models and the Black-Scholes formula.
Calculus and GeometryApplied mathematics and structured problem solving.
Statistics and ProbabilityWorking with data, graphs and stochastic processes.

About the BSc Mathematics programme at Queen Mary

CFA Programme

CFA Institute · Passed Level 1 and Level 2

Technical skills

Activities and societies

Queen Mary University of London

Languages

English, and conversational Arabic.