Build and deploy machine learning models for credit and fraud risk management.
Collaborate with engineering to deploy models into production and analyze portfolio performance.
Communicate findings to stakeholders and develop internal tools for data science productivity.
Prosper is a fintech company that offers personal loans and credit cards through a digital marketplace. They have helped over 2 million customers and emphasize a collaborative, inclusive culture with flexible work options.
Develop and monitor predictive credit scoring and churn models using transactional data.
Implement generative AI and advanced algorithms to automate credit analysis and ensure compliance.
Design real-time dashboards to track key performance indicators like FPD and PDD.
Wellhub is revolutionizing workplace wellness by connecting employees worldwide to partners for fitness, mindfulness, therapy, nutrition, and sleep. Headquartered in NYC with team members across Europe, North America, and South America, we have a collaborative culture that values wellbeing and diversity.
Conduct rigorous, independent validations of sophisticated credit/fraud models, including machine learning and traditional statistical models.
Develop automated, independent monitoring suites in Python to track KRI/KPI drift, population stability, and feature importance shifts in real-time.
Partner with model developers to drive remediation of validation findings and ensure models are mathematically robust and compliant.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without hidden fees or compounding interest. The company is a remote-first firm with a focus on competitive benefits and an inclusive culture.
Lead and mentor a team of quantitative professionals while personally executing rigorous validations of machine learning models for underwriting and credit risk.
Evaluate conceptual soundness, data integrity, and performance stability through comprehensive testing, in-depth reviews, and continuous monitoring.
Collaborate with cross-functional stakeholders to enhance the enterprise-wide Model Risk Management framework and ensure compliance with internal and regulatory standards.
Affirm is a financial technology company that provides buy now, pay later services without hidden fees or compounding interest. It is a publicly traded, remote-first company with a large workforce and a culture focused on innovation, risk management, and putting people first.
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.
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 interpret NPV and profitability models to inform strategic decisions.
Monzo is on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and pensions in the UK. With a history of creating magical moments through hot coral cards and award-winning customer service, Monzo has grown significantly over the last 10 years and values diversity and inclusion.
Use data, experimentation, and machine learning to solve complex product and business problems at high-growth startups.
Partner with product, engineering, and business leaders to identify high-impact opportunities for data science.
Develop predictive models, design experiments, and translate analyses into clear recommendations for stakeholders.
SignalFire is a venture capital firm that partners with top early-stage startups shaping the future of technology. With a portfolio of over 200 innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS, they are looking to connect with exceptional data scientists who are excited about using data, experimentation, and machine learning to solve complex problems.
Build and maintain a quality scoring classifier for support interactions using NLP and LLM-based approaches.
Enhance forecasting models for support volume and staffing demand to enable responsive operational planning.
Partner with cross-functional teams to translate business needs into scalable data solutions and drive member experience improvements.
Oura empowers people to understand and improve their health through the Oura Ring, a wearable that tracks readiness, activity, and sleep. The company has helped millions globally and fosters a culture of employee well-being and growth.