Independently deliver analytical projects across the consumer credit lifecycle, including acquisition, account management and collections
Build statistical and machine learning models through all phases of development, from design through training, evaluation, validation and implementation
Use a broad set of technologies: SQL, PySpark, Python, AWS and more to obtain insights from large volumes of data
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. They have an amazing team of 25,200 people in 32 countries.
Proactively explore data and identify opportunities to help accelerate product development or improve existing products in Trust and Safety.
Translate analysis and trends into recommendations for business logic to improve identity and fraud conversion rates or fraud rates.
Own end-to-end analytics workflow, including defining success and performance metrics, socialising them across the organisation.
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. Affirm is proud to be a remote-first company with competitive benefits that are anchored to our core value of people come first.
Champion a data-first approach across internal teams and client engagements, promoting clarity and impact
Build and deploy machine learning models to prevent fraud across diverse fintech use cases, from proof-of-concept through to production
Develop and track metrics to measure and monitor the performance of our risk products and the effectiveness of risk management strategies
Sardine is a leader in fraud prevention and AML compliance. Their platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. They have raised $145M from world-class investors and maintain a remote-first work culture.
Develop strategies for monitoring and preventing fraud across our network.
Leverage advanced data analytics to identify loss drivers and optimize fraud management strategies.
Report on fraud trends and loss drivers to cross functional partners and senior management.
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 remote-first, and offers employees competitive benefits.
Own the model lifecycle: requirements, experimentation, model development, evaluation.
Translate complex fraud patterns into well-framed ML solutions: defining what to model, what success looks like.
Monitor model quality in production, tracking performance over time, detecting data drift, and determining when to retrain.
Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions. They work with more than 1,000 leading merchant partners across industries and are backed by some of the most prominent technology investors in the industry.
Lead analytical work across the merchant risk lifecycle.
Build and maintain queries, dashboards, and reporting.
Investigate high-risk merchant activity.
Wisetack builds consumer lending products for service-based businesses. They are a well-funded startup backed by leading VCs, and the leadership team comes from top fintech companies.
Conduct client discovery calls with account executives.
Meet with clients to discuss fraud strategies to mitigate risk.
Create and deliver presentations aligned to proposed solution value.
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transaction with confidence. They are building the future of identity verification in the United States, working as a digital-first company with strong collaboration across the U.S. and India.
Conduct investigations of high-risk or potential fraud activity, including platform abuse and suspicious financial movement patterns.
Use an investigative, data-driven approach to analyze cases and make fair, compliant, and risk-mitigated determinations.
Leverage tools such as Excel, Google Sheets, Snowflake, SQL, and Tableau to uncover fraud patterns and communicate findings to stakeholders.
Clair is a digital banking platform that gives America's workers instant access to their earned wages by embedding financial products into payroll and workforce management apps. The company is a fintech startup with a focus on financial freedom for hourly workers.
Analyze and assess risk by examining financial data, transaction patterns, and user behavior to identify fraud, credit, and compliance risks.
Develop and implement risk controls by partnering with product, engineering, and data science teams to build automated decisioning systems.
Contribute to strategic planning by providing insights on risk trends and policy improvements to support company growth.
Found builds tools to give self-employed people the security of big corporations through a business bank account that automates taxes and expense tracking. The company is a growing fintech startup with a diverse team, offering a collaborative culture focused on making a meaningful impact.