Career timeline

Experience

A chronological view of delivery, engineering, leadership, data, and platform roles.

Designed and developed production Python applications, data services and analytics platforms for front-office investment and trading teams. Built scalable cloud-native services and pipelines across AWS, Snowflake and MongoDB, translating complex investment requirements into reliable, supportable technology solutions.

Used AI-assisted engineering tools including Cursor, Claude and Codex to accelerate development, testing, refactoring and technical analysis while maintaining production engineering standards.

Skills: Software & Data Engineering (Python, SQL, data pipelines, batch/real-time ingestion, data quality); AI-Assisted Engineering (Cursor, Claude, Codex); Cloud & DevOps (AWS, Docker, CI/CD, production support); Databases (Snowflake, MongoDB, NoSQL); Tools (Dash, Prefect); Front Office Analytics (trading data, portfolio analytics, market data, multi-asset financial datasets); Analytics Domains (fixed-income credit, MONIS, convertible bonds)

Designed and delivered production-grade Python and SQL data solutions across gas, power and LNG trading. Built scalable analytics pipelines and data products for front-office teams, working with business stakeholders to translate trading requirements into reliable, maintainable technology with a focus on orchestration, data quality and operational resilience.

Skills: Data Engineering (Python, SQL, Spark, Hadoop, Polars, Pandas); Cloud (Azure); Pipelines & Orchestration (Dagster); Databases (SQL Server); BI (Tableau, Dash, Plotly); Analytics Domains (gas, power and LNG trading, market data, time-series modelling); Collaboration (stakeholder engagement, mentoring, technical leadership)

Led the architecture, requirements analysis and development of a Python-based fund analytics platform, replacing approximately 20 spreadsheet models with a governed application using FastAPI, SQL Server and Dash.

Worked directly with investment stakeholders to understand workflows and business rules, translate them into application requirements and validate calculation outputs. Designed reusable APIs and data models for carry calculations, forecasting and fund analytics.

Skills: Domain (private credit, fund analytics, carry, time-series modelling); API Development (Python, FastAPI); User Interfaces (Dash, Plotly, HTMX); Cloud (Azure); Databases (SQL Server); Collaboration (stakeholder engagement, mentoring, technical leadership)

Led the architecture and development of a cloud-native analytics and application platform, combining Python, APIs, AWS serverless technologies, microservices and data engineering.

Selected work

Technical leadership and team development: Built the data function from the ground up, hiring and developing a mid-level Data Engineer and a Data Scientist, and providing technical leadership, coaching and mentoring.
Serverless data pipelines: Implemented cloud-native ETL pipelines and a Data Analytics and Insights platform using AWS services and Apache Airflow orchestration.
Data integrations and APIs: Designed Python/FastAPI microservices and REST APIs for external financial-data providers and brokers, deployed through Docker/Kubernetes and AWS Lambda/API Gateway.
Analytics and Insights: Built a framework for faster delivery of Python analytics across equities, FX and fund/ETF asset classes for multi-asset portfolios, including cryptocurrencies.

Skills: Data Engineering on AWS (Glue, Airflow, Python, Pandas, SQLAlchemy, FastAPI, Lambda, PostgreSQL, S3); Full Stack (Python, React, Kotlin, Kubernetes); DevOps (AWS CDK, GitLab); Cloud (EC2, SNS, SQS, RDS, Redshift)

Lead Engineer for a mission-critical investment-modelling platform used by fixed-income investment teams. Led engineers while remaining hands-on with Python development, quantitative-model implementation, platform architecture, APIs and secure enterprise engineering.

Selected work

Technical leadership and engineering standards: Led and mentored three Senior Quant Developers, established engineering practices, supported architecture decisions and coordinated delivery across investment teams.
Quantitative model engineering: Partnered with Quant Researchers to productionise alpha, transaction-cost, risk and optimisation models across fixed income, equities, macro and credit, and enhanced model back-testing and validation.
Aladdin Alpha Platform (Dynamic Flow): Led reusable component development and integrated Snowflake-based data capabilities to improve scalability and analytical workflows.
Defence in Depth: Led security modernisation across six mission-critical investment applications, redesigning interfaces and implementing secure APIs across Python, Java, .NET, MATLAB and Perl.

Skills: Leadership (change management, people management, project management); Practices (Agile, BDD, TDD); Quant Stack (Python, Pandas, NumPy, Numba, Dask, Java, C#, MATLAB, SAS); BI (Tableau, Power BI); Cloud (Azure, Azure VM, Azure Functions); Scheduling (Autosys)

Worked on a twelve-month European Space Agency contract, contributing to the Advanced Research in Telecommunications Systems Management Information System (ARTES MIS).

Selected work

ARTES MIS: Designed and developed Java/Spring Boot REST services and React/JSF applications supporting more than 350 European Space Agency R&D activities in a secure private-cloud enterprise environment.
Best-practice rollout: Helped migrate applications to a common cloud environment, standardising development practices and improving maintainability, supportability and cross-team knowledge sharing.

Skills: Full Stack (Java, React, Spring Boot, Node.js, MariaDB); Practices (Agile, BDD, TDD); CMS (SharePoint); BI (Microsoft Power BI); Private Cloud (private network, Kubernetes, Docker, LDAP)

Technical subject-matter expert and project manager responsible for budgeting, forecasting, stakeholder communication and planning. Managed a five-person team migrating GoldenSource to a cloud-hosted environment and led upgrades to its legacy Security Master and Pricing products.

Selected work

M&G Prudential Lite Security Master and Pricing: Delivered technical architecture advice and produced functional and business requirements, technical solutions and architecture documentation.
Best-practice rollout: Advocated for and implemented DevOps practices and tools, strengthening CI/CD and delivery and regression testing.

Skills: Leadership (project management, Microsoft Project); Practices (Agile, Jira); GoldenSource EDM (Workflows, GSO/Mapping Designer, Connections); Full Stack (Python, Java, databases); Integrations (Aladdin); BI (WebFOCUS)

Senior Data Engineer serving internal investment teams and delivering data products.

Selected work

Data Management Platform decommissioning: Re-architected a mission-critical J2EE/Java monolith into scalable Python microservices and reusable data services, defining application interfaces, data models and integration patterns.
Large-dataset pipelines: Developed PySpark and Scala pipelines for large datasets on the Hadoop Distributed File System (HDFS).
Web scrapers: Designed a reusable Java/Spring framework for external data acquisition, helping teams introduce integrations with standard components.
MALT Refinery and Timeseries MIS decommissioning: Modernised a legacy C# desktop application into a distributed Angular and Java Spring Boot platform.

Skills: Data Engineering (data modelling, data lake, Hadoop, Apache Spark); Full Stack (Python, Java, C#, Spring Boot); Practices (Agile, BDD, TDD); DevOps (Git, Sonar); Scheduling (Autosys)

Senior technical consultant and subject-matter expert leading GoldenSource implementations. Led a four-person team validating intraday pricing rates, curves and surfaces for a reference- and market-data project, and led a four-month Fundamental Review of the Trading Book (FRTB) proof of concept.

Selected work

Siemens Financial Services: Built a reusable Murex connector and R analytics library, with WebFOCUS (GS Insight) BI reporting.
ICBC Standard Bank FRTB proof of concept: Integrated C-based scenario-generation libraries for stress testing and persisted results in the GoldenSource Risk Master Data Model.

Skills: Full Stack (Python, JEE, PL/SQL, Oracle, R); GoldenSource EDM (Orchestrator, Workflows, Mapping Designer, Market Data Solution)

Developed mission-critical, low-latency trading infrastructure in Java and C#, implementing core functionality in commercial FIX/FAST engine libraries for electronic market connectivity.

Selected work

RA FIX Engine: Improved API functionality, code quality and test coverage through engineering reviews and automated testing; developed trading, FIX and FAST-engine capabilities.
RA ASIC Short Reporting Tool: Built a full-stack application for ASIC short-selling reports, using ASP.NET and C# with SQL Server and Azure deployment.
RA ShortCut — FIX for BizTalk: Extended the product’s core functionality, improved performance and resolved defects.

Skills: Full Stack (Java, .NET, C#, ASP.NET); FIX (protocol, engine, certification); Middleware (Microsoft BizTalk); Cloud (Microsoft Azure)

Implemented fixed-income investment models, improving efficiency and data feeds while managing the full model lifecycle from development through production.

Selected work

Common Alpha-Gen (CAGE) Platform: Developed a reusable quantitative execution framework for models written in SAS, R and MATLAB, integrated with enterprise investment systems.
Model productionisation: Collaborated with quantitative researchers to implement, back-test and productionise alpha, risk and transaction-cost models in a fixed-income investment platform.
Data Management Platform: Built data-management tools for slicing and dicing input data and Tableau reports for front-office portfolio managers’ attribution and investment-dataset views.

Skills: Data Engineering (Informatica, J2SE/JEE, JavaScript); Quant Stack (MATLAB, SAS, R, C#); BI (Power BI, Tableau, SAP Business Objects); Scheduling (Autosys)

Worked as a quantitative developer and connectivity engineer supporting real-time market connectivity and high-frequency algorithmic trading.

Selected work

Market Connectors: Designed a low-latency framework to capture, receive and replay real-time, high-frequency data. Built CEP-engine adapters for direct streaming market-data access through FIX, including FX feeds and Dow Jones market news.
Model Implementation: Partnered with research analysts to implement Value at Risk (VaR) and FX trading models in Progress Apama and Coral8 CEP engines.

Skills: Full Stack (Java, JavaScript, Progress Apama CEP); FIX (QuickFIX, client onboarding, testing); Data Engineering (data modelling, SQL); BI (SAP Business Objects BI 4.x)

Enterprise architecture internship focused on service-oriented architecture performance, Java, JMS, streaming and JBoss/Tomcat-based application containers.

Skills: Full Stack (Java, Progress Sonic Workbench, JMS, Streaming, JBoss/Tomcat containers)

Rich client user-interface design internship in BT’s Innovation Lab, using Java EE, JSPs, SIP Servlets and early web-application technologies.

Skills: Full Stack (Java EE, JSPs, SIP Servlets, XML, HTML, CSS, JavaScript, AJAX, Web 2.0)

Financial Application Developer in an energy-trading environment, working across Excel VBA, Java and web technologies.

Skills: Full Stack (Excel VBA, Java, XML processing, HTML, CSS, JavaScript)