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.
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.
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.
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.
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.
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.
Develop and iterate on underwriting prediction models using a mix of approaches for tabular and sequential 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.
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. The company is a remote-first, publicly traded organization with a strong culture focused on people come first.
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.
Mines and analyzes large datasets using descriptive, predictive, and prescriptive analytics to develop insights from historical loan performance data.
Develops and refines reports working with data analytics, underwriting, and operations teams, and leverages custom score models for underwriting and pricing.
Collaborates with vendors, data science, and technology teams to ensure new strategies and models are implemented accurately and as designed.
Pathward is a financial empowerment company that works with innovators to increase financial availability, choice, and opportunity for all. We are a team of problem solvers and innovators who celebrate our differences and know that our unique perspectives make us stronger and well-positioned for success.
Lead, grow, and develop a team of 3+ data scientists and governance professionals.
Own the fundamentals of model governance: performance monitoring, drift monitoring, fair lending assessments, validation, and more.
Set the strategy for the function, including automation, standardization, and customer relationships.
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. They are a rapidly growing company backed by world-class investors, with offices across the US and India.
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.
Developing and optimizing credit underwriting and pricing strategies for unsecured lending products.
Using data analysis and SQL to monitor portfolio performance and drive data-driven decisions.
Collaborating with cross-functional teams to design and roll out new lending products and customer journeys.
Monzo is a digital bank offering personal and business accounts, credit cards, and financial services to simplify money management. With a decade of growth and a focus on customer experience, they have a diverse team spread across the UK.
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.
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.
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.
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.
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.
Own productization of Alt's pricing and underwriting models from research through production, keeping them accurate and fast at scale.
Optimize pricing models to reduce infrastructure costs while improving accuracy, especially for high-value assets.
Lead the full ML lifecycle from model training and feature generation to production deployment and monitoring.
Alt unlocks the value of alternative assets, starting with the $5B trading-card market, offering a platform for collectors to buy, sell, vault, and finance their cards. Backed by leaders at Stripe, Coinbase, Seven Seven Six, and pro athletes, the company is at an inflection point with its pricing intelligence infrastructure as a competitive moat.
Set the pricing methodology and own the risk strategy conversation with senior leadership.
Turn a monitoring function into a decision engine by designing decision systems and driving them to adoption.
Architect the data foundation for Risk Analytics using dbt and Snowflake, and mentor senior data scientists.
Extend provides AI-driven post-purchase solutions for retailers, including automated customer service, returns, and fraud detection. Backed by prominent technology investors and headquartered in San Francisco, they work with over 1,000 merchant partners across multiple industries.
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.