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• Define the technical strategy and roadmap for credit risk and fraud detection using statistical and ML approaches.
• Design, build, and deploy production-quality machine learning models for credit scoring, fraud detection, and risk modeling.
• Collaborate closely with Engineering, Product, Risk, and Operations teams to align data science strategy with business goals.

Djamo builds the future of banking in Africa with a super-app that combines payments, transfers, savings, and budgeting. Launched in 2020, the company serves over one million users and is backed by investors like Y Combinator and Partech, fostering a culture of innovation and inclusion.

• 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.

• Define the end-to-end experimentation methodology to guide product decisions across the company.
• Build rigorous statistical methods for small-sample, multi-product environments with causal inference.
• Partner with cross-functional teams to scale experimentation culture and coach PMs and analysts.

HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs, and SMBs the infrastructure to build, automate, and scale. With over 2,000 team members across 10+ countries, it operates as a global, remote-first organization built for speed and ownership.

• 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.

• Develop statistical and machine learning models for credit and risk applications.
• Conduct all stages of model development from data exploration to deployment.
• Collaborate with cross-functional teams to translate business needs into analytical solutions.

Experian is a global data and technology company that drives opportunities for people and businesses worldwide. With 25,200 employees across 32 countries, it fosters an inclusive, purpose-driven culture recognized as a Great Place to Work.

• Build and ship ML models to help customers search and find answers about their financial lives.
• Develop user and product embeddings, contextual bandits, and personalized ranking algorithms.
• Work with a modern cloud-native data platform to deploy models to millions of customers.

Monzo is on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and pensions with a focus on solving problems and changing lives. With over 15 million customers and a culture of innovation, Monzo prioritizes diversity and inclusion.

• 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.

• 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.

• Drive causal inference and experimentation to prove what actually works in fundraising, moving beyond correlation.
• Build predictive and forecasting models for donor behavior, retention, and lifetime value, ensuring calibration and honest uncertainty.
• Own the ML lifecycle on Databricks and MLflow, from training and deployment to monitoring and drift detection.

Bloomerang provides a powerful giving platform that enables tens of thousands of nonprofits to raise more, recruit more, and retain more. The company fosters a mission-driven culture built on core values of Simplify, Care, and Act, with a team of innovative and skilled individuals.

• Own end-to-end credit strategy, risk modeling, and portfolio performance for embedded lending products, ensuring seamless translation of data into underwriting decisions.
• Drive data integrity, source new signals, and build monitoring frameworks to optimize approval rates and loss performance across all credit products.
• Lead a team of seven risk specialists, fostering analytical rigor and accountability while collaborating cross-functionally with Product, Engineering, and Capital Markets.

Pipe builds embedded capital for small businesses through credit products inside software platforms like vertical SaaS and marketplaces. It is a remote-first team with 250% ARR growth year over year, partnerships with major brands like Uber Eats, and a culture of high trust and no ego.

• 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.

• Define the long-term data science strategy for ads measurement, signal quality, identity, and privacy, establishing how Reddit evaluates advertiser value.
• Build trusted measurement and evaluation frameworks for lift, attribution, and privacy-aware measurement, guiding product and engineering investments.
• Advance experimentation and causal inference at scale, mentor senior data scientists, and influence cross-functional strategy.

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

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

Launch Potato is a digital media company that reaches over 30M monthly visitors through brands like FinanceBuzz and All About Cookies. Headquartered in South Florida with a remote-first team spanning over 15 countries, they have a high-growth, high-performance culture.

• Partner with Product & Engineering to analyze product engagement and the full customer funnel, including acquisition, conversion, retention, and churn.
• Build and maintain statistical models and analyses related to key product use cases such as A/B tests, cohort analysis, and conversion/retention optimization.
• Design, analyze, and interpret experiments (A/B and multivariate tests) across marketing channels and on-site experiences, ensuring statistical rigor and clear recommendations.

Hone is an online medical clinic transforming healthcare and enhancing longevity using scientific advancements. Operating as a fully virtual and remote-first employer, the company values customer focus, execution, candid communication, collaboration, and joy.

• 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.

• Conduct in-depth analysis to shape product-led growth and B2B strategy.
• Leverage AI tools to build self-service analytics enabling stakeholders to access reliable metrics.
• Collaborate with product and engineering teams to drive experimentation culture and practices.

Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and have the backing of some of the world's greatest investors, including OpenAI, Andreessen Horowitz, Redpoint Ventures, and Spark Capital.

• Develop credit and fraud strategies using data, machine learning models, and advanced analytics to optimize risk decisions.
• Design A/B tests to balance risk and customer experience, and partner with Data Science, Product, and Engineering teams.
• Analyze portfolio performance at a granular level, identify trends, and communicate findings to Risk Management.

Prosper is a fintech company that pioneered peer-to-peer lending in the US, offering personal loans and credit cards to help consumers achieve financial well-being. Since 2005, it has served over 2 million customers and fosters a culture of collaboration, curiosity, and accountability.

• Lead and scale a high-performing team of Analysts and Data Scientists embedded within Product domains.
• Set the bar for analytical quality, experimentation rigor, and data science application across multiple product areas.
• Partner with senior Product, Engineering, and Commercial leaders to shape strategy and drive measurable business impact.

Tripadvisor is the world's largest online travel site, visited by 390 million travelers each month. Its experiences business, Viator, is a fast-evolving, highly data-driven organization focused on building great products through data.

• Partner with Marketing, Sales, and CX leaders to diagnose challenges and drive growth strategies.
• Develop ML solutions like targeting, segmentation, and LTV prediction to optimize acquisition and retention.
• Mentor junior data scientists and drive best practices in experimentation and analytics.

Mercury Insurance helps people reduce risk and overcome unexpected events, serving customers for over 60 years. It is a mid-size company that values diverse perspectives and offers a supportive culture with growth opportunities.

• Drive strategic Payments roadmaps and user journey optimizations through data-informed insights and cross-functional collaboration.
• Design and execute rigorous experimentation frameworks, utilizing advanced statistical modeling and causal inference to quantify business impact.
• Collaborate with platform teams to maintain a resilient payments infrastructure and analyze payment processing trends.

Airbnb connects hosts with guests for unique stays and experiences worldwide. The company has grown to over 5 million hosts and 2 billion guest arrivals, fostering a culture of inclusion and belonging.