CV
Career History
Head of Data Science, VALD
Brisbane, Australia
Mar 2023 – Current
- Hired as VALD’s first Head of Data Science to define and execute data roadmap, aligning with business goals and building an 8-person Data Science & Engineering team in two years.
- Spearheaded an enterprise data lakehouse on Azure Databricks, delivering $1M annually through new product features and operational efficiency, while establishing robust data governance practices.
- Championed VALD’s data strategy through a keynote client conference speech, investor due diligence (leading to $10M investment), webinars, and industry-leading podcast.
- Technologies: Azure Databricks, PySpark, R, MLflow, SQL, Power BI, Git.
Senior Manager (Analytics), Affirm
San Francisco, CA
Oct 2019 – Jan 2023
- Established a 7-person Merchant Pricing Foundations team responsible for data management strategy, analytical tools, partnership deal pricing, and international expansion, increasing pricing efficiency by 20%.
- Led a Covid-19 lending strategy transformation, building a transaction-level P&L model under stressed scenarios and adjusting merchant financing programs to deliver $9M in annual contribution margin.
- Owned Go-To-Market pricing strategy, modeling the impact of consumer offers on loan economics and launching simplified ‘financing bundles’ that increased annual margin by $5M. Drove cross-functional approvals, Salesforce rollout, and seller enablement.
- Architected a dynamic optimization system that uses a predictive engine to recommend merchant financing program changes to optimize loan economics, increasing steady-state ROA by 25bps.
- Technologies: Snowflake, dbt, Python, SQL, Looker, Git, Redshift.
Senior Data Scientist, Quantium
San Francisco, CA
Sep 2018 – Sep 2019
- Led a team of four data scientists to configure the Q.Refinery transaction enrichment data product for Wells Fargo, winning a vendor selection process.
- Developed propensity models in PySpark for a cross-functional 1:1 marketing personalization pilot at a major US bank.
- Technologies: PySpark, SQL, Apache Hadoop, Git.
Pricing Optimization Manager, Direct Line Group
London, UK
Mar 2015 – Aug 2018
- Led a 4-person team responsible for Motor Renewals pricing optimization. Oversaw project plans, reviewed customer retention models, and managed employee performance and day-to-day workstack.
- Rebuilt the renewal price optimization algorithm for a £1.4B motor insurance portfolio, delivering £12M additional profit and a streamlined process with robust controls.
- Ran A/B experiments of new optimization strategies and created automated insights dashboard for P&L owners.
- Technologies: Radar, Emblem, SAS, Qlik.
Actuarial Analyst, Quantium
Brisbane, AU
Jan 2011 – Dec 2014
- Responsible for data extraction, cleansing and feature engineering.
- Created a de-biased sample of retail customers, which powered the Q.Checkout BI data product used by CPG clients.
- Developed technical cost models for a comprehensive motor insurance product using SAS and Emblem.
- Implemented an automated vehicle risk monitoring suite while seconded to a leading motor insurer.
- Built benchmark cost GLMs for an industrial gas client, along with an Excel scorecard rolled out to pricing managers.
- Prepared a monthly report analysing trends in key steel indices and other global markets.
- Created and presented a SAS tutorial for colleagues.
- Technologies: SQL, SAS, Teradata, Emblem, VBA.
Education
Associate of the Institute of Actuaries of Australia (AIAA)
Brisbane, Australia
Mar 2011 – Dec 2013
Bachelor of Applied Science (Mathematics) (First Class Honours)
Brisbane, Australia
Jan 2008 – Dec 2010
Major Achievements:
- Dean’s Scholars Accelerated Honours Program: four-year honours degree completed in three years
- GPA: 7.0 out of 7 (high distinction)
- Average Grade: 98%
Skills
- Software: SQL, Python, PySpark, R, SAS, Power BI, Tableau, Looker, Databricks, Snowflake, dbt, Microsoft Azure, VBA, Emblem, Radar.
- Technical: Data Visualization, Predictive Modeling, Experimentation & A/B Testing, Forecasting, Funnel Analysis, Feature Engineering, Price Optimization.
- Personal: Leadership, Team Development, Stakeholder Engagement, Problem Solving, Executive Communication, Self-motivation.
Certifications
- Azure Fundamentals, Microsoft (credential)
- Azure Data Fundamentals, Microsoft (credential)
- Data Scientist with Python Specialization, DataCamp
- Machine Learning Specialization, Coursera (credential)
Awards
- University Medal, Queensland University of Technology (2010)
- Staff Prize for Outstanding Achievement in Honours Year, Queensland University of Technology (2010)
- Staff Prize for Outstanding Achievement in Second-Year Subjects, Queensland University of Technology (2008, 2009)
- Head of School’s Award for Excellence in Mathematics, Queensland University of Technology (2009)
- Dean’s Merit Award, Queensland University of Technology (2008, 2009)
- Research Scholarship, Australian Mathematical Sciences Institute (2009)
- Vice-Chancellor’s Scholarship, Queensland University of Technology (2008)
- Australian Student Prize (2007)
- Dux of College, Iona College (2007)
Voluntary Experience
- Volunteer, Coffee Brigade (2023 – Current)
- Food Kitchen Volunteer, St Anthony’s Foundation (2019 – 2022)
- VP of Public Relations, SF Downtown Toastmasters (2020 – 2021)
- Social Buddy, Share Community (2016 – 2018)
- Team Leader, Rosies Youth Mission (2011 – 2014)