Design and deliver end-to-end data science solutions that support product innovation and business strategy.
Analyze large, complex datasets to identify trends, surface opportunities, and influence key decisions.
Develop and deploy predictive and prescriptive models using machine learning and statistical techniques.
Moniepoint Inc. is Africa’s all-in-one financial ecosystem, helping 10 million businesses and individuals access seamless payments, banking, credit, and business management tools since 2019. As Nigeria’s largest merchant acquirer, it powers most of the country’s Point of Sale (POS) transactions.
Develop credit strategies to improve the credit performance by using data, machine learning models and advanced analytics tools to optimize risk decisions
Lead end-to-end risk and analytics strategy for Prosper's Credit Card, from pre-launch through portfolio optimization, including underwriting policies, pricing and credit line strategies, and acquisition frameworks that balance growth targets with risk parameters
Analyze portfolio performance at a granular segment level on an ongoing basis. Identify trends and conduct root-cause analysis to isolate key performance driver
Prosper is a company in the Credit Risk Management Department. The team leverages advanced analytics tools, cutting edge data and techniques to develop credit strategies that govern automated credit decisions in Prosper’s online marketplace.
Improve customer and business outcomes through better automated decisioning, using Machine Learning and statistical modelling.
Drive innovations by identifying new opportunities of data and ML applications, and delivering business values across multiple Borrowing products.
Champion the quality and efficiency of model development, and ensure safe and scalable growth of their model portfolio.
Monzo is on a mission to make money work for everyone. They're waving goodbye to the complicated and confusing ways of traditional banking and want to solve problems and change lives through Monzo. The company cares deeply about their 15+ million customers.
Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries that invests in people and new advanced technologies to unlock the power of data.
Partner with cross-functional teams and be the Credit POC that manages the end-to-end credit strategy.
Leverage alternative data and further optimize our credit strategy in limit assignment and purchasing power.
Partner with Machine Learning team and enhance our underwriting framework for low AOV
Affirm is reinventing credit to make it honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The company is experiencing exciting growth and prides itself on its transparent pay structure and competitive benefits which includes fully subsidized medical, dental and vision coverage for employees and dependents.
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.
Design and deploy scalable machine learning solutions to improve data quality, matching, classification, and automation.
Apply advanced analytics and generative AI to enhance data enrichment and ongoing data maintenance.
Drive analytical projects from problem definition through deployment and ongoing monitoring, in partnership with cross‑functional teams.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries and invest in people and new advanced technologies to unlock the power of data.
Partner with Marketing to define and solve problems, translating needs into analytical approaches that drive performance.
Design and deliver data-driven solutions using statistical analysis and machine learning to address business needs.
Lead experimentation and optimization, developing and managing testing frameworks across channels and markets.
BECU is a financial institution with 1.5 million members and over $30 billion in assets. It is a purpose-driven organization where your work makes a real difference, focusing on people, not profits.
Expand ML Capabilities – Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability.
Enable High-Velocity Experimentation – Own the design and implementation of ML pipeline components that accelerate our innovation
Collaborate Across Functions – Partner with Product, Engineering, and Risk teams to translate business requirements into technical solutions and ensure ML initiatives align with customer needs.
Signifyd helps merchants confidently grow their businesses by building trusted relationships with their customers. Thousands of leading merchants across more than 100 countries trust them and they securely process billions of transactions each year. Their people are the heart of everything they do, driving their mission forward with commitment, empathy, and creativity.
Build and ship ML models that drive offer personalization, ranking, and targeting.
Develop features and training pipelines on top of large-scale event and transaction datasets.
Design and analyze A/B tests and incrementality experiments to measure campaign and model impact.
Kard is transforming customer loyalty with its rewards-as-a-service API platform, empowering partners to offer tailored rewards. They are backed by $30M from investors and experts and have a remote-first team with a culture that values initiative, openness, and humility.
Design, build, and iterate on machine learning models and LLM-based systems that power critical decisions across fraud, compliance, growth, and operations
Work with messy, real-world data to identify signals, build features, and continuously improve model performance
Make practical tradeoffs between model performance, interpretability, and operational cost
River is building the world’s most trusted financial institution to empower people to take ownership of their financial lives through Bitcoin. River is growing quickly and has raised more than $50 million from leading investors.
Develop and iterate on fraud prediction models using a mix of approaches for tabular and behavioral data.
Build and scale feature pipelines and training datasets from proprietary and third-party signals.
Prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They appear to be a remote-first company.
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.
Actively contribute to the team roadmap, working closely with product managers.
Conceptualize, prototype, and productionize state-of-the-art demand forecast solutions.
Build model pipelines and streamline analysis processes, using common programming tools.
Software Mind develops impactful solutions globally, serving tech giants and unicorns. They foster a culture of openness, respect, grit, and enjoyment, building cross-functional teams that embrace challenges and seek growth.
Developing statistical, machine learning, and AI models to predict consumer behavior by integrating survey, household, and retail sales data.
Leading the design, prototyping, and deployment of AI and machine learning models and algorithms to enhance product and marketing success predictions.
Validating and calibrating models and algorithms to estimate the likelihood of success and volume potential of future products, ensuring accuracy and robustness.
NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.