Develop credit risk models using statistical techniques and Machine Learning with Python.
Manipulate, explore, and analyze large datasets using Python.
Conduct ad hoc studies and statistical analyses to support decision-making and translate technical concepts into clear insights.
Experian is a global data and technology company that creates opportunities for people and businesses. With 25,200 employees in 32 countries, it has a people-centric, inclusive culture recognized by multiple awards.
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.
Conduct studies and analyses to understand business needs and deliver actionable insights.
Manipulate large datasets using Python and SQL, and create visualizations with Power BI or Tableau.
Collaborate with internal teams and external clients to propose solutions and present findings effectively.
Experian is a global data and technology company that powers opportunities for people and businesses worldwide. It has 25,200 employees across 32 countries and is recognized for its people-centric culture, winning awards such as World's Best Workplaces™ 2025.
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.
Build and own attribution and marketing mix models using state-of-the-art machine learning algorithms.
Design experiments and interpret results to draw detailed and actionable conclusions.
Work cross-functionally with product, engineering, and business teams.
Moniepoint is an all-in-one digital financial services platform for businesses in emerging markets. Since 2019, it has powered over a million businesses, is Africa's second-fastest growing fintech, profitable, and recognized as the most inclusive payment platform in Nigeria.
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.
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.
Connect data, customer behavior, and campaign performance to drive personalized CRM strategies for SME clients.
Translate NBO/NBA model outputs into actionable hypotheses, tests, and communication campaigns.
Partner with CRM, Marketing, Sales, Product, Data Science, and Analytics teams to embed analytical intelligence into customer journeys.
Experian is a global data and technology company that drives opportunities for people and businesses worldwide. With 25,200 employees across 32 countries, the company fosters a people-centric, inclusive culture recognized by awards such as World's Best Workplaces 2025 and Great Place to Work in 26 countries.
Use SQL and other analytical tools to conduct in-depth analysis of customers, transactions, alerts, and risk ratings.
Develop, tune, and maintain transaction monitoring and sanctions screening models to improve detection and reduce false positives.
Partner with compliance, product, and data leaders to translate regulatory requirements into effective analytical frameworks.
Mercury is building a complete finance stack for startups, providing banking services through partner banks. As a fintech company, they focus on creating a safe and easy banking experience while protecting against bad actors, with a culture of high agency and adaptability.
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.
Develop and enhance risk strategies using cash flow data to optimize loan portfolio performance.
Design and implement end-to-end loan application workflows that integrate bank data for increased originations.
Perform proactive portfolio analysis to identify emerging credit trends and drive data-driven insights.
Attain Finance is a consumer credit lender with over 50 years of expertise providing credit solutions across the U.S. and Canada through brands like Cash Money, LendDirect, and Heights Finance. The company is a dynamic, collaborative team of industry professionals focused on innovation and where contributions are valued.
Develop, implement, and improve credit risk frameworks using data-driven insights to support business growth and responsible lending decisions.
Analyze credit risk trends, portfolio performance, and account activity to identify opportunities to reduce losses and improve risk management.
Collaborate with cross-functional teams including product, engineering, data science, and finance to develop and scale lending products across different markets.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It uses automated systems to review applications and share top-fitting profiles with employers, facilitating efficient and objective hiring processes.
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.
Leverage advanced analytics, machine learning, and large-scale data to design innovative risk solutions and tackle complex fraud challenges.
Work closely with clients and cross-functional teams to optimize decision-making and improve product performance.
Drive a data-first culture by promoting analytical thinking and data-driven decision-making across teams and client engagements.
Our partner is a fast-growing, remote-first company at the forefront of fraud prevention and financial risk intelligence. They offer a high-growth international environment with world-class professionals and a supportive culture.
Recommend underwriting, line, and policy changes to grow approvals and usage using internal and external data.
Develop cross-product credit profiles and identify signals for better credit decisions.
Design and analyze experiments, turning results into strategic recommendations for portfolio growth.
OnePay is a consumer fintech platform offering banking, savings, credit, lending, investing, and crypto services. Backed by Walmart and Ribbit Capital, the company has a fast-paced, mission-driven culture with a focus on innovation and growth.
Build statistical models and machine learning solutions to surface trends and benchmarks from employee relations case data.
Apply NLP and text analytics to extract structure from unstructured case notes and improve anonymization pipelines.
Collaborate with Product and Engineering to translate analytical findings into product decisions and customer-facing insights.
HR Acuity provides employee relations case management and investigation software, helping organizations standardize workplace issue reporting. They are a fast-growing, innovative company with a female founder CEO and an inclusive culture.