About Us:
Onmo is the UK’s newest credit card provider that will deliver a range of fair, flexible and easy to use financial services products to UK consumers. We help people make smarter decisions with money, so they can get more out of life.
Joining at the start of our journey, creates a unique opportunity to have a significant impact and influence foundational decisions, whilst creating the opportunity for you to grow in your career alongside the growth of the company.
We have a solid model framework in place, but are nimble enough to explore innovative ways of working and thinking. This role will have a diverse set of responsibilities, with a focus on leveraging data to drive short term and longer term priorities.
Working at a fintech means there is always a lot to do, but you would be part of a wider team that is focused on developing something great for us and our customers.
Responsibilities:
You’ll be working as part of a wider analytical team to support delivery of new customer credit strategies, commercial objectives and improved customer experience.
Funnel analysis: Conduct in-depth analysis of the customer acquisition funnel for accounts booked through an aggregator, identifying key stages of customer drop-off and conversion. Develop actionable insights to optimise the conversion rates at each stage of the funnel. Pricing Optimisation: Analyse aggregator data to assess the competitive landscape, including the ranking of offers and competitor pricing strategies. Leverage this analysis to recommend and implement pricing optimisations that maximise competitiveness, improve conversion rates, and drive profitability. Data-Driven Insights: Use advanced analytics to uncover trends, bottlenecks, and opportunities within the aggregator funnel. Provide clear, data-backed recommendations to improve the customer journey from the first touchpoint to account booking. Customer Segmentation & Targeting: Support development of customer segmentation strategies specific to aggregator channels. Identify and target high-value customer groups that are more likely to convert, and tailor strategies to their unique behaviours and preferences. Reporting & KPIs: Develop and maintain dashboards and regular reports on funnel performance, tracking key performance indicators (KPIs) such as conversion rates, cost per acquisition, and customer lifetime value. Present findings to stakeholders and recommend strategic changes. Testing & Experimentation: Design and execute A/B tests or other experimentation methods to assess the impact of different strategies or interventions on funnel performance. Use test results to drive continuous improvement. Compliance & Quality Assurance: Ensure that all strategies and initiatives comply with relevant regulations and internal policies, especially regarding customer data and privacy. Ensure quality and consistency in the customer experience through aggregator channels.
About You: Ways of Working Proactive automation of work, to allow more time for analysis. Keeping updated documentation, to allow sharing of work and knowledge. Using checks and balances to make sure outputs are correct. Your Approach Self-motivating, with a natural interest in understanding how things work and fit together. Eye for detail and pro-active engagement with others (across the company or externally) when additional information is needed. Happy to work at a growing company, where one day does not always look the same as the next and everyone rolls up their sleeves to help make things happen. Qualifications and Experience: Exposure working with varying datasources (bureau and openbanking data would be a plus). Foundational understanding of how credit cards work Strong coding skills (e.g. Python / SQL), with a focus on structure and automation Experience building insightful MI Good presentation skills, using the data to tell a story Ability to prioritise workload and manage time effectively, communicating proactively Excited about defining the foundations and best practices to allow automation and smart solutions for our customers.
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Funnel analysis: Conduct in-depth analysis of the customer acquisition funnel for accounts booked through an aggregator, identifying key stages of customer drop-off and conversion. Develop actionable insights to optimise the conversion rates at each stage of the funnel. Pricing Optimisation: Analyse aggregator data to assess the competitive landscape, including the ranking of offers and competitor pricing strategies. Leverage this analysis to recommend and implement pricing optimisations that maximise competitiveness, improve conversion rates, and drive profitability. Data-Driven Insights: Use advanced analytics to uncover trends, bottlenecks, and opportunities within the aggregator funnel. Provide clear, data-backed recommendations to improve the customer journey from the first touchpoint to account booking. Customer Segmentation & Targeting: Support development of customer segmentation strategies specific to aggregator channels. Identify and target high-value customer groups that are more likely to convert, and tailor strategies to their unique behaviours and preferences. Reporting & KPIs: Develop and maintain dashboards and regular reports on funnel performance, tracking key performance indicators (KPIs) such as conversion rates, cost per acquisition, and customer lifetime value. Present findings to stakeholders and recommend strategic changes. Testing & Experimentation: Design and execute A/B tests or other experimentation methods to assess the impact of different strategies or interventions on funnel performance. Use test results to drive continuous improvement. Compliance & Quality Assurance: Ensure that all strategies and initiatives comply with relevant regulations and internal policies, especially regarding customer data and privacy. Ensure quality and consistency in the customer experience through aggregator channels.
About You: Ways of Working Proactive automation of work, to allow more time for analysis. Keeping updated documentation, to allow sharing of work and knowledge. Using checks and balances to make sure outputs are correct. Your Approach Self-motivating, with a natural interest in understanding how things work and fit together. Eye for detail and pro-active engagement with others (across the company or externally) when additional information is needed. Happy to work at a growing company, where one day does not always look the same as the next and everyone rolls up their sleeves to help make things happen. Qualifications and Experience: Exposure working with varying datasources (bureau and openbanking data would be a plus). Foundational understanding of how credit cards work Strong coding skills (e.g. Python / SQL), with a focus on structure and automation Experience building insightful MI Good presentation skills, using the data to tell a story Ability to prioritise workload and manage time effectively, communicating proactively Excited about defining the foundations and best practices to allow automation and smart solutions for our customers.
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