Family-based principal investment company focusing on systematic volatility trading.

DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our own risk, across a broad range of asset classes, instruments, and strategies, in financial markets around the world.As a Data Product Manager, I am responsible for onboarding, managing and maintaining various datasets and data services used by traders and quantitative researchers to analyze financial markets, determine trading opportunities, and establish trading strategies.Key products and services:- Instrument/Symbology Cross Reference- Data and API Catalog- End-of-day Historical Data

As a Data Strategist, I serve as a critical link between front-, middle- and back-office units, solving problems ranging from backtesting and analysis of all forms of market data to prototyping new data solutions using new frameworks and technologies.Key areas of focus:- implementing high-volume distributed data pipelines- implement highly available, high-throughput APIs for front- and middle-office- develop automated data quality solutions- contribute to the development of the internal data catalog and security masterCurrent solutions leverage a variety of the following technologies: AWS, Spark, Dask, Parquet, Arrow, Kubernetes, Argo, ProtoBuf, Python, Java

Specialize in strategy formulation and customer engagement for Bloomberg’s integrated Python development environment (BQuant) and next-generation Bloomberg Query Language (BQL) API products.

Responsible for architecting and building infrastructure, frameworks, tools and services that streamline investment processes. In order to maintain agility and promote scalability, the team focuses on two key areas:Data Engineering & Process Automation- Designing and developing scalable data platforms to efficiently ingest, process, validate and publish data- Integrate and manage data pipelines to automate high-volume and real-time data delivery- Provide APIs and data delivery services that support operational and analytical applicationsData Science & Business Intelligence- Build machine learning models to make predictions and answer key business questions- Manage large and complex analytical projects focused on driving business value and efficiency- Evaluate statistical models to determine the validity of analysesWe utilise the latest trends in Serverless/AWS Lambda, Microservices, AWS, Docker, CI/CD and are also avid supporters of Scala, Python, Spark, Kafka, Jupyter and Functional Programming.

Responsible for the formulation, implementation, and management of five core investment portfolios. Reporting directly to the chief investment officer, my day-to-day tasks involved investment analysis, trading, research, and development of new solutions to enhance processes within the investment and investment operations team, and working closely with the engineers to develop new innovative products that complement Spitfire's investment offering.Whilst in this position, I was responsible for designing, implementing, and executing the majority of the investment and regulatory processes, documentation, and analyses for Spitfire's Superannuation Product.Key Achievements: - Delivery of the Spitfire Superannuation Fund (portfolio construction, trading and execution, product and regulatory documentation)- Architected and implemented the portfolio management and execution management system- Architected and implemented the back-office operations system and process- Developed an automated portfolio performance and risk reporting

As a Quantitative Analyst / Developer, I spent the majority of my time consulting with a broad range of clients to integrate Bloomberg Data and Analytical Tools into their workflow. I am responsible for developing and implementing 200+ models per year. When I was not developing models, I would work closely with engineers and product managers around the globe to better improve and integrate technical solutions for customers. The core skills and expertise include:Quantitative Analysis - Fundamental analysis and security pricing models - Portfolio optimisation, asset allocation and factor models - Derivative Pricing and Calibration Models - Automated reporting and compliance alertsTechnical/Technology Development - Expert Excel/VBA programming - Maintain client facing financial models - Moderate Python/R/SQL/NoSQL development experienceFinancial Markets Knowledge - Equity Analysis and Valuation - Fixed Income Analysis and Pricing (Bonds, Interest Rate Swaps) - Portfolio Management (Asset Allocation and Optimization) - Derivatives/FX/Economics/CommoditiesStakeholder Communication/Project Management - Lead strategic initiatives across Australia/New Zealand markets - Deliver seminars to encourage customer engagement and promote Bloomberg Data and Models

As a Market Data Analyst, I focused on combining my knowledge of financial market, technology and Bloombergs vast market data coverage to solve complex analytical and operational problems for Australia's largest financial institutions.

Co-founder of a Software Defined Networking (SDN) Start-up. Secured seed funding.> I focused on day-to-day management of external activities including financial modelling, market research, commercial partnerships and management of external contractors.

As a Data Analyst spent most my day developing financial models focusing on Insurance and Electricity market forecasting, valuation and sensitivity analysis.

Private Equity & Venture Capital