Hi! I am Moiz Saleem
About me
My name is Moiz Saleem, I am a proactive and driven student pursuing a Bachelor's degree in Mathematics and Computer Science at the University of Bristol with aspirations to enter the quantitative finance industry.
My academic journey has equipped me with a solid foundation in both theoretical and applied mathematics, as well as extensive programming skills. I have a deep-seated passion for leveraging mathematical models and computational techniques to solve real-world problems, particularly in the finance industry, and I am also passionate about developing and optimising algorithmic trading strategies.
I am excited to connect with like-minded individuals and explore opportunities that allow me to apply my skills. Feel free to reach out to me on LinkedIn or email!
My projects
IMC Prosperity 3 Challenge
Participated in the IMC Prosperity 3 competition, ranking 107th nationally and 1536th globally among over 12,000 participants. Implemented market making and options strategies across multiple asset classes, adapting through five increasingly complex competition rounds.
Quantum Bank Heist: QAOA Path Optimisation (QHack 2025)
🥈Second place at QHack 2025🥈 Solo project using QAOA to optimize escape routes in a bank heist scenario. Implemented 3-layer quantum circuits with Qiskit, achieving 95% approximation to classical algorithms across 50+ test simulations.
IMA TMT 2025 Conference Talk
Delivered a talk at the IMA's 2025 TMT conference on using cointegration in finance to develop quantitative trading strategies by identifying equilibrium relationships between time series and trading the spread.
TradingView Strategy Indicators
Actively developing and optimising algorithmic trading strategies across multiple asset classes, including equities, forex, and cryptocurrencies, using Pine Script on TradingView.
Forex/Crypto Trading Bot
5-min scalping strategy using VWAP, Bollinger Bands, and RSI indicators produced in Python. Achieved impressive 123% returns with a Sharpe ratio of 2.21 on EURUSD currency pair over a 2 year backtest.
ChatGPT News Trader
System that processes real-time news events, utilizing the Alpaca and OpenAI APIs to feed headlines to ChatGPT, generating impact ratings and placing trades based on the predicted market influence.
Scotland Yard AI
AI agent designed to play the Scotlandyard boardgame, implementing Dijkstra’s algorithm and a Mini-Max game tree to optimize the AI agents winning performance based on a custom scoring function.
Self Driving Car AI
Implemented an AI-driven self-driving car simulation using Deep Q-Learning (DQN), a reinforcement learning technique, that learns to autonomously navigate a dynamic 2D environment with obstacles.
Mobile App Prototype
Prototype for a cross-platform mobile application that acted as a calendar for limited shoe releases using Flutter and a GraphQL API to connect to a local Node.JS headless CMS (Strapi).
HE+ Research Project
Short research project as part of the Cambridge HE+ programme under the theme of 'uncertainty', focusing on how quantum computers have the ability to affect the security of data and the potential implications of Shor's algorithm on RSA encryption.
My skills
- Java
- Python
- C
- Haskell
- R
- JavaScript
- TypeScript
- HTML
- CSS
- React
- Next.js
- Vue.js
- Git
- GitHub
- Pandas
- NumPy
- Matplotlib
- pyTorch
- Flask
- SQL
- Jupyter
- LaTeX
- Probabillity
- Statistics
- Algorithms
- Excel
- Figma
My experience
University of Bristol
BSc Mathematics and Computer Science
Modules Including: Imperative and Functional Programming Object-Oriented Programming and Algorithms I Probability and Statistics Linear Algebra
University of Bristol
Research Intern
Devising a process for maximising the number of links between financial databases using textual analysis and natural language processing techniques.
WorldQuant University
Applied Data Science Lab
• Developed an ARMA time-series model for forecasting particulate matter levels in Kenya, leveraging MongoDB datasets and performing comprehensive time series analysis for accuracy. • Built a linear regression model with a machine learning pipeline, incorporating feature encoding and imputation, to predict apartment prices in Argentina.
Encode Club
AI Foundation Bootcamp
• Explored the architecture and applications of LLMs like ChatGPT and LLaMA-2, including model training methods and prompt engineering. • Integrated ChatGPT API with a local web UI to create an adjustable-parameter chatbot. • Used the Stable Diffusion Model in Python for text-to-image generation, exploring various techniques.
KETS Quantum Security LTD
• Collaborated on a group project to research quantum technology, leading to a presentation on quantum computing fundamentals. • Delivered the presentation to the company and effectively addressed follow-up questions. • Engaged with external experts to deepen understanding of quantum technologies and industry insights.
Contact me
Please contact me directly at saleem.moiz@outlook.com or through this form.