Hanwei Teo

• Leading and building Data Engineering teams in delivering Cloud Native Data Pipelines • Building data pipelines and data quality tools for Systematic Trading Quant Funds • Migrated Monolithic web applications into Cloud Native Micro Services leveraging Docker and Kubernetes to create CI/CD pipelines into AWS and Azure. • Rapid build of highly available Micro Services with Docker, REST APIs using Flask, Python and Redis • Planned and implemented data analysis Jupyter notebooks leveraging data from Google and Facebook advertising campaigns into actionable insights using best practices in Data Science. • Built Visual Dashboards using Seaborn, Plotly and Bokeh. Deployed AirFlow for orchestrating ETL. • Provided advice on design, development and governance issues for a FTSE 250 company

• Spearheaded the design and implementation of an optimisation engine that managed $6B worth of inventory transfers which saved $20M in annual financing costs. • Designed and developed a multi-tier system based on .Net, AngularJS, RabbitMQ, Web API and SQL Server. • Acted as main point of contact between the business and IT. Engaged the business teams to create a user experience which was low friction and low maintenance.

• Designed and developed a linear programming based optimisation engine used for best capital placement by prime brokers and hedge funds. • Migrated WinForms based legacy application to WPF and AngularJS. • Modernised traditional data integration batch scripts into modern ETL data pipelines.

I spearheaded the architecture and development of a data warehouse platform that integrated disparate data into a single unified end-to-end solution. - Managed expectation of key stakeholders, defining solution strategy - Acted as main point of contact for the business - Day-to-day management and technical mentoring of a global team of 6 developers - Designing the conceptual, logical and physical data model of the data warehouse - Working the wider technology teams to make emerging technologies standard - Developing and maintaining relationships within the organisation and external vendors to influence and remain current on emerging trends and best practices through collaborations and proof of concepts

One of two main developers in a greenfield project creating a suite of applications that supported the LDI franchise. - Architected and delivered a portfolio management system based on WPF, WCF and SQL Server that automated the way traders manage their portfolio mandates, monitor fund risk, construct hedges and implement fund flows. Engaged senior traders and portfolio manager to gather functional specifications and translated them to technical implementation. - Improved and maintained a fund valuation, pricing, risk and cash flow-matching engine based on ASP.Net and .Net Web Services. Acted as first line support to traders and portfolio managers. Upgraded underlying quant libraries. - Introduced .Net based Excel interface that exposes fund pricing and valuation APIs to Excel which allowed portfolio managers to prototype transactions on spreadsheets.

- Designed and developed a C# CAB-based GUI which was used by Structured Credit and Flow traders globally to slice/dice, drill-down, filter and view credit risk reports on CDS and CDO books. - Delivered a scalable and robust overnight batch for producing PnL predict reports. - Developed an XML parser Bond/CDS trade-detail reconciliation module that enriches the position data used by the risk aggregation backend. Various PnL tools in Python