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.
Develop underwriting strategies for the assigned loan portfolio to improve performance and achieve business objectives.
Build dashboards and automate complex queries to monitor portfolio performance and enhance credit risk insights.
Interface with the Modeling/Scoring team to deploy risk strategies based on new models and improve deployment effectiveness.
Attain Finance brings over 50 years of expertise in providing credit solutions across the U.S. and Canada. They are a leading consumer credit lender with a portfolio including brands like Cash Money, LendDirect, and Heights Finance.
Derive insights and support strategy by leveraging data analytics to optimize product, risk, or growth strategies.
Monitor portfolio health by tracking performance metrics, user behavior, and macroeconomic trends.
Write clean SQL and Python to build scalable reporting and partner with Engineering on machine learning and risk models.
Affirm is a fintech company reinventing credit by offering buy now, pay later solutions with no hidden fees or compounding interest. With a focus on honest and friendly consumer finance, Affirm is a large, remote-first company that values diversity and employee wellbeing.
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.
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 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 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.
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.
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.
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.
Build, evaluate, and maintain underwriting and decisioning models that determine customer approvals and terms.
Design and run experiments to evaluate model performance and measure impact on approval rates and loss.
Collaborate with Product, Engineering, Legal, Compliance, and Operations to ensure systems reflect business goals and regulatory expectations.
FloatMe is a fintech company that builds underwriting and decisioning systems to determine customer approvals and terms. It operates as a fast-moving, high-standard team focused on rigorous ML work.
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.
Shape the roadmap for Monzo's Credit Platform, evolving shared infrastructure for lending strategies across products and markets.
Lead the evolution of credit valuation infrastructure including NPV modelling to optimize lending economics.
Hire, coach, and develop a high-performing team of Credit Analysts, fostering technical excellence and continuous improvement.
We're a digital bank on a mission to make money work for everyone, offering personal and business accounts, credit cards, and more. We're a growing company with a strong culture of innovation and inclusion.
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.
You will leverage advanced ML models to detect suspicious user behaviors while minimizing impact on genuine customers.
You will adapt quickly to changing fraud trends to keep detection systems performant over time.
You will design machine learning solutions that scale globally.
We're on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and more. We've grown significantly in the UK over the last 10 years and have a strong culture of innovation and customer focus.
Turn complex product, customer, and risk data into clear insights and decision frameworks.
Use AI tools and agent workflows to improve speed and quality of analytical work.
Define and maintain measurement frameworks for credit products including customer eligibility and repayment behavior.
Block builds technology to increase access to the global economy through brands like Square, Cash App, and Afterpay. Cash App has thousands of employees globally, with a culture geared toward innovation, collaboration, and impact.
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.
Partner with business leaders to identify opportunities and develop analytical strategies.
Create predictive models and scalable machine learning solutions to optimize customer acquisition and retention.
Translate complex data findings into clear business recommendations and drive experimentation.
This company leverages advanced data science and machine learning to solve complex business challenges. It fosters a collaborative and inclusive culture focused on innovation, growth, and teamwork.
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 and develop a team of data scientists to deliver proof-of-concept projects for enterprise customers.
Build and review ML models, conduct fraud analyses, and ship production-grade solutions alongside your team.
Partner cross-functionally with Engineering, Product, and GTM to scope work and influence the roadmap.
Sardine is the leading agentic risk platform for fighting financial crime. With over 6 billion profiled devices and a remote-first culture, we hire self-motivated individuals who value performance over hours.