Owen Nicholas Email & Phone Number

United Kingdom

London Area, United Kingdom

London Area, United Kingdom

- Launched 'Rider Proposition' Product Space: Spearheaded the creation of a new product area with a defined product vision and strategy aimed at enhancing rider engagement and retention. Introduced in-app rider surveys, implemented streamlined in-app messaging amongst other products all aimed at boosting service quality and rider performance and satisfaction.- Revolutionised Rider Verification: Directed a major initiative to combat illegal riders and account misuse. Developed and rolled out a new identity verification system integrating automated checks with an SDK integration with an external third party verification specialist and a manual in-house process compliant with EU law. Overhauled the onboarding and compliance process through Salesforce, significantly enhancing platform security and making 100% of riders in key markets eligible for verifications. This effort has set a new standard in the gig economy, preventing thousands of fraudulent entries and earning acclaim from UK Government Ministers.- Strategic Salesforce Migration: Managed a significant Salesforce migration to improve rider onboarding and compliance processes, achieving cost reductions and operational enhancements. Led a cross-functional team to align with company-wide goals, completing the project under budget and creating savings in direct costs and an additional saving annually on licensing fees. Projected further annual savings will also come from improved conversion rate now that the foundational migration has happened.

London, England, United Kingdom

- Strategic Integration of Sports Betting Feeds at Sky Bet: Led the integration of Premier League ISD and Perform Group feeds to enhance the speed and reliability of sports betting feeds, reducing response times to 1.9 seconds—well below the 5-second target. This initiative significantly mitigated fraudulent betting risks, and contributed to securing £1 billion in revenue and greatly improving customer satisfaction during the football season.- Product Management Process Innovation at Oddschecker: Developed and implemented a scalable product management process using lean methodologies in a resource-constrained environment. Led a team that aligned the product vision with business objectives, fostering organisational growth through agile practices and technological enhancements.- SEO and User Engagement Revitalisation for Football Odds Comparison Pages at Oddschecker: Directed a strategic redesign of product pages focused on SEO optimisation, reversing declining traffic and engagement metrics. Collaborated with SEO, marketing, and design teams to tailor updates to user needs and search engine standards, doubling bet conversion rates and ad click-outs, achieving top Google search rankings, and reducing bounce rates from 70+% to 26%. This overhaul significantly boosted site traffic and marketing revenue, dramatically enhancing user interaction and doubling conversion rates

Leeds, England, United Kingdom

- Analytics and Decision Making: Utilised advanced analytical skills to assess and react to real-time market conditions, ensuring optimal trading decisions that contributed to strategic financial outcomes.- Risk Management: Managed risk effectively by analysing market trends and implementing strategies that minimised financial exposure while maximising returns.- Cross-functional Collaboration: Worked closely with product and tech teams to improve betting platforms, providing insights that helped enhance user interfaces and the overall customer experience.- Strategic Contribution: Played a key role in strategic discussions that shaped trading tactics and platform adjustments, directly influencing the product roadmap and business strategies.

Newport, Wales, United Kingdom

Research project carried out on, “Using machine learning to match web scraped grocery prices to their corresponding Consumer Price Index (CPI) classifications". - This required me to investigate statistics and the structure of the data. Investigate the different algorithms that could be used to label the price data, based on the item’s features.- Was expected to match algorithms written in python and R code; including error estimation metrics and a report on the research work.

Master Of Science - Ms, Applied Mathematics

Activities and Societies: Mathematics Society: Active member of the Mathematics Society, engaging in academic discussions.Focused.

Bachelor Of Science - Bs, Mathematics

Activities and Societies: Member of University Rugby League and Tennis Teams, Mathematics Society: Active member of the Mathematics.