Set product direction using data, strengthen commercial decision-making.
Lead the evolution from analytics to AI and ML-enabled product capability.
Shape product strategy and prioritization, champion the use of data and experimentation.
Monzo is on a mission to make money work for everyone, waving goodbye to the complicated and confusing ways of traditional banking. Monzo is embracing diversity by fostering an inclusive environment for all people to do the best work of their lives.
Define and execute the strategic vision for ML across Operations and adjacent business areas.
Act as a senior technical authority, setting best practices and architectural patterns for ML across the organization.
Mentor and coach ML practitioners at all levels, fostering a culture of continuous learning and innovation.
Monzo is on a mission to make money work for everyone, waving goodbye to traditional banking complexities. With a focus on solving problems and changing lives, they offer personal and business bank accounts, savings, investments, and pension options, and they are known for their award-winning customer service.
Lead data initiatives in a high-growth environment.
Drive data strategy and foster a data-driven culture.
Build and improve current data capabilities.
Moniepoint is a global fintech building modern financial services for millions of people and businesses across high-growth markets. They provide payments, banking, credit, and financial management tools. Our teams operate in a fast-paced, high-impact environment alongside international leaders from companies like Glovo, Bolt, Monzo, Klarna, Checkout.com, and Tide.
Grow, drive, and lead enhanced automated credit risk decisioning strategy and risk analytics across the Moniepoint SME Lending Portfolio.
Skilled in optimising credit risk policy rules, affordability optimisation and developing scorecards; uncovering areas of opportunity as well as pockets of risk and keenly cognisant of the need to balance growth with credit quality and able to ‘hold-the-line’ where necessary.
Ensure lending remains within Risk Appetite and that performance is maintained within agreed target loan loss levels.
Moniepoint is an all-in-one financial services platform for emerging markets and the second-fastest-growing company in Africa. Since 2019, Moniepoint’s technology has powered over 3 million people, offering personal and business banking, payment, credit and business management tools to help them succeed.
Lead data-driven product strategy initiatives supporting fraud detection and prevention systems
Design and deliver insights, reporting, and analytical frameworks to detect and mitigate fraud at scale
Define, track, and evaluate key metrics, including machine learning model performance and business impact
Maleda Tech is focused on protecting platform integrity by embedding measurement, experimentation, and insights into product defenses and user journeys. They are a global technology environment with a fraud & safety analytics team.
Extend, optimize, and maintain core data models for reports, machine learning, and generative AI.
Implement automation and operationalize ML models to streamline operational processes and improve efficiency.
Partner with engineering, product, and analytics teams to deliver seamless integrations and customer-facing data products.
Boulevard provides a client experience platform for appointment-based, self-care businesses, helping customers enhance client experiences. They value diversity and inclusivity, offering equal opportunities and aiming to create a supportive work environment.
Develop and maintain SentiLink’s fraud detection models through the full model development lifespan.
Research new types of fraud and develop new SentiLink products around identity verification.
Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
SentiLink provides identity and risk solutions, empowering institutions and individuals to transaction with confidence. They are building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.
Design, develop, and enhance ML/AI models which mainly power Search and Recommendation.
Process historical data, search queries, product catalog, and images to extract hidden relations and features.
Work closely with Data Engineers and Senior Data Scientists to integrate and scale ML components to a production-level that can handle terabytes of data.
Bloomreach is building the world’s premier agentic platform for personalization, revolutionizing how businesses connect with their customers. They power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora.
Design, build, and deploy machine learning solutions for audience targeting, lookalike generation, and individual propensity scoring
Own the complete ML lifecycle - from exploratory analysis and experimentation all the way through production deployment and operational monitoring
Develop and ship production ML systems spanning self-supervised representation learning, vector similarity search, and supervised classifiers
Tunnl is leveraging AI to erase the boundaries between insights, audiences, and outcomes to ensure every piece of intelligence can be acted on. They combine the judgment of seasoned data experts with the power of artificial intelligence to help organizations find and connect with the people who matter most.
Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
Mentor and guide junior engineers, fostering a culture of learning and technical excellence.
Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
Yelp's mission is connecting people with great local businesses, requiring the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI). Their engineering culture values individual authenticity and encourages creative solutions, supporting growth in a collaborative environment.
Contribute innovative ideas to the technical and product roadmaps.
Work closely with product managers and engineers to turn abstract business needs into scalable technical implementations.
Proactively solve code challenges by anticipating breaks and considering the downstream impacts of your solutions.
TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Their team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology.