Source Job

• Lead a high-calibre ML team to shape Borrowing's ML roadmap across UK growth, new customer segments, and EU expansion.
• Improve underwriting, pricing, limits, and lifecycle decisioning through faster model iteration and new data sources.
• Partner with leaders across Credit Strategy, Product, Engineering, and Data to drive commercial impact and long-term strategic advantage.

Monzo is on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and pensions. As a rapidly growing fintech with a strong UK presence, we foster an inclusive culture focused on innovation and customer delight.

• Build advanced machine learning models to detect and prevent financial crime, reducing fraud and scams.
• Work cross-functionally with product managers, data scientists, and engineers in an agile environment.
• Provide technical leadership and mentorship to drive up standards in machine learning practices.

Monzo is on a mission to make money work for everyone by offering personal and business bank accounts, savings, investments, and credit cards in the UK. With over 25 people in the Financial Crime Data team, we foster a culture of innovation and inclusivity.

• Lead the ML strategy for Workforce Management, delivering production systems for forecasting, routing, and optimisation.
• Coach and develop a growing team of Machine Learning Scientists embedded in product squads.
• Work cross-functionally with Product, Engineering, Data, and Operations leaders to solve ambiguous operational problems.

Monzo is a digital bank on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and pension consolidation. With over 10 years of growth in the UK and a focus on financial education and award-winning customer service, Monzo has a vibrant culture and a strong commitment to diversity and inclusion.

• Design, develop and deploy advanced statistical or machine learning models for credit risk, pricing, collections, fraud, and other high-impact business use cases.
• Lead end-to-end delivery of data science initiatives from problem framing through deployment and monitoring.
• Partner with cross-functional teams including Portfolio Strategy, Engineering, Product, and Sales to integrate models and solve critical business problems.

Forward Financing is a fintech company that unlocks capital for small businesses across America. Since 2012, it has provided over $4.8 billion in funding to more than 92,000 small businesses and is recognized as a Best Place to Work by Built In Boston.

• Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency.
• Deliver buying models that maintain positive ROAS and improve lead quality across a portfolio of brands.
• Establish trusted, direct partnership with business stakeholders and identify net-new modeling opportunities.

Launch Potato is a profitable digital media company that connects consumers with leading brands through data-driven content and technology. With a remote-first team spanning over 15 countries and reaching 30M+ monthly visitors, they have a high-growth, high-performance culture focused on speed, ownership, and measurable impact.

• Own the full lifecycle of statistical and machine learning model development, from data exploration to deployment.
• Improve efficiency in credit risk, fraud, marketing, and collections by deploying modeling solutions.
• Research and develop new methods and tools to improve the business and present results to leadership.

Attain Finance is a consumer credit lender with over 50 years of expertise providing credit solutions across the U.S. and Canada. The company is a leading lender with a dynamic, collaborative culture and a portfolio of distinguished brands.

• Own the end-to-end data science lifecycle for moderately complex models, from data ingestion to deployment and monitoring.
• Apply expertise in machine learning and statistics to solve marketplace problems, including bidding, yield modeling, and experimentation.
• Mentor junior data scientists and influence technical decisions within the team.

OpenX focuses on unleashing the economic potential of digital media companies by building digital advertising markets and technologies. The company is a growing and scaling team that values thoughtful, creative executors and a blend of market design, technical innovation, and operational excellence.

• Set the technical strategy for your team, tying together critical projects across repayment, collections, recovery, and loss mitigation.
• Act as a force-multiplier by defining and advocating technical solutions and operational processes.
• Collaborate with product management, design, analytics, and risk to ensure technical sustainability and manage trade-offs.

Affirm is reinventing credit to make it more honest and friendly, giving consumers flexibility to buy now and pay later without hidden fees. The company is remote-first with a focus on people-first culture and offers competitive benefits.

• Developing and iterating on embedding models for advertising use cases, from aggregation pipelines to sequence models.
• Building data processing and inference pipelines and evaluating features through end-to-end experimentation.
• Ensuring reliability and scalability of ML systems by writing tests, monitoring, and reviewing code.

Reddit is a platform of communities built on shared interests and authentic conversations. With over 100,000 active communities and 126 million daily active users, it is one of the largest sources of information on the internet.

• Build and maintain backend services, Python libraries, and model lifecycle tooling for internal ML teams.
• Design and operate distributed systems for model serving, evaluation, and feature engineering.
• Focus on developer experience and reliability to help teams train, deploy, and serve ML models safely.

Monzo is on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and more through a modern digital banking platform. With around 600 engineers out of roughly 5,000 employees, we value flexibility, collaboration, and open source contributions.

• Own ML models across their full lifecycle from data pipelines to deployment and monitoring, ensuring reliable performance.
• Run and improve the ML platform including GitOps CI/CD, monitoring serving endpoints, and defining SLOs.
• Collaborate with risk, operational, and product teams to turn ML into business value across the organization.

Alma provides installment and deferred payment solutions to help merchants boost sales and customer loyalty, without encouraging bad debt. With over 25,000 merchants, 10 million consumers, 380+ employees, and over €100M ARR, they are a Next40 member scaling rapidly across Europe.

• Drive end-to-end ML development for customer-facing SaaS products, from pipelines to production deployment and monitoring.
• Design evaluation strategies and A/B tests to prove ML features improve customer outcomes and business impact.
• Influence product roadmap by communicating ML capabilities and trade-offs to cross-functional teams.

WorkWave provides field service and logistics software solutions that help businesses manage their operations and serve their customers. They are a global company with a remote-first culture, recognized as a Best Place to Work and named among the top software companies worldwide.

• Design, implement, and refine machine learning models for personalized recommendations.
• Improve architecture, code structure, and performance of ML systems, raising engineering quality.
• Investigate research papers and lead experiments to validate and ship state-of-the-art models.

Canva is redefining how the world experiences design, providing a platform that empowers users to create stunning visuals. As a large, global company with campuses in Sydney and Melbourne, it fosters a culture of creativity, collaboration, and flexibility.

• Build and deploy machine learning models to detect and respond to fraud across the platform.
• Design experiments to measure the impact of fraud interventions, balancing customer experience and loss reduction.
• Collaborate with fraud operations, engineers, and product managers to translate model outputs into real-world mitigations.

Moniepoint is Africa's fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions in transactions monthly. They have a people-first culture focused on learning and inclusion, valuing diversity and employee well-being.

• Lead and grow a cross-functional team of ML engineers, backend engineers, and data analysts.
• Guide research and experimentation, balancing long-term innovation with near-term business impact.
• Partner with Product and Engineering leaders to identify opportunities for increasing revenue and conversion through personalization.

Constructor is an AI-first ecommerce search and discovery platform helping shoppers find products and enabling global e-commerce brands to drive revenue and conversion. The company offers a fully remote team, unlimited vacation, and a training budget.

• Identify and own challenging problems, form testable hypotheses, and drive significant business impact.
• Lead the design and analysis of experiments or development of causal and predictive models to test your ideas.
• Collaborate with product and engineering to affect changes in production systems and provide intelligence to other teams.

Yelp operates a platform connecting users with local businesses through user-contributed content. As a large company with millions of users and listings, it fosters a cooperative culture that values individual authenticity and encourages creative solutions.

• Develop, validate, and optimize statistical and machine learning models including regression and XGBoost to detect and prevent fraud.
• Design features, build tools, and deploy models in production environments to improve performance and stability.
• Conduct model governance activities including validation, documentation, and ongoing monitoring with clear reporting.

Experian is a global data and technology company powering opportunities for people and businesses worldwide, operating across financial services, healthcare, automotive, and more. With 23,300 employees in 32 countries, the company is a FTSE 100 Index listed firm recognized for its people-first culture and advanced technology investments.

• Design and implement content discovery algorithms to deliver a highly personalized user experience on Reddit's Notifications platform.
• Enhance core recommendation capabilities including candidate retrieval, ranking models, and budget optimization, deploying ML models and integrating LLMs.
• Serve as the primary ML domain expert, driving architectural decisions and collaborating with product, infrastructure, and data science teams.

Reddit is a community of communities built on shared interests, passion, and trust, hosting the most open and authentic conversations on the internet. With over 100,000 active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information.

• Design, build, and ship ML models that power content generation and quality eval scoring for Canva's generated element and template library.
• Own the full ML lifecycle — from data pipelines and training through to deployment, monitoring, and iteration.
• Partner with Content Engine, CORE AI Research, AI Media, and Discovery teams to align ML work with the broader content strategy.

Canva is redefining how the world experiences design with its intuitive design platform. We serve hundreds of millions of users globally and foster a culture of flexibility, inclusion, and innovation.

• Build and operate the real-time inference service for the risk decision engine with low latency and high availability.
• Own model deployment infrastructure including CI/CD, shadow mode, and staged rollouts.
• Build model observability and partner with Risk Data Science for production operation.

Mercury is a fintech company that provides banking services for startups via partner banks. The company is committed to creating a safe environment and values diversity, with a growing team focused on innovation.