
Financial data and automation developer experienced in building algorithmic trading infrastructure, financial analysis frameworks and workflow automation systems. Skilled in Python, market data analysis and financial modelling to build systems that support data-driven decision making.
Designing automation systems that streamline operational workflows and reduce manual processing across business operations.
• Designed and implemented an automated invoice intake system that restructures supplier submission and approval workflows, replacing fragmented manual handling with structured routing and automated process stages.
• Analysed existing operational processes to identify manual dependencies and workflow bottlenecks before rebuilding the process architecture using integrated automation systems.
• Developed automation infrastructure that replaced fragmented manual invoice handling with structured approval workflows and automated routing.
Built a configurable algorithmic trading platform designed for systematic strategy development, backtesting and automated execution.
• Developed Python infrastructure to process multi-year historical market data and run automated strategy backtests across multiple isolated market periods.
• Built a configurable strategy framework allowing users to create rule-based trading systems, test them against historical data and deploy them in simulated or live environments.
• Users executed more than 1,000 strategy backtests across multi-year historical datasets to evaluate strategy consistency and drawdown behaviour.
• Designed performance monitoring processes that tracked key metrics including win rate, drawdown profile and expectancy to evaluate trading strategy robustness.
Programming
Python, pandas, NumPy
Data Analysis
Market Data Analysis, Backtesting, Strategy Evaluation, Statistical Analysis
Financial Analysis
Financial Modelling, Risk Metrics, Strategy Performance Analysis
Tools
Excel, APIs, Data Pipelines, GitHub
Automation
Workflow Automation, Systems Integration, Process Analysis
Financial Data Analysis • Python Data Processing • Algorithmic Trading Research
Market Data Analysis • Financial Modelling • Workflow Automation
Strategy Backtesting • Data Pipelines
Strategy Performance Analysis Framework
Jun 2024 – Aug 2024
• Developed an evaluation framework for algorithmic trading strategies comparing drawdown structure, win rate, expectancy and risk-adjusted performance across different market conditions.
• Implemented multi-period historical testing to assess strategy stability instead of relying on a single aggregated backtest result.
Genetic Algorithm Strategy Optimisation
Apr 2024 – May 2024
• Built a genetic algorithm in Python to explore trading strategy parameter spaces automatically rather than tuning parameters manually.
• Evaluated candidate strategies across multiple generations of backtests while prioritising drawdown behaviour and risk-adjusted performance.
• Applied walk-forward testing and robustness analysis to reduce the risk of overfitting to historical market data.
Market Data Processing & Backtesting Pipeline
Jan 2024 – Mar 2024
• Built a Python-based data pipeline for processing historical price data, applying technical indicators and running systematic strategy tests.
• Designed isolated testing windows to compare strategy behaviour across different market environments such as trending and ranging conditions.
Financial Modelling & Excel Tools
• Built Excel-based financial models including budgeting tools and tax calculation utilities for financial planning scenarios.
• Developed spreadsheet tools to structure financial inputs, automate calculations and improve financial visibility for decision making.