Collaborate with engineering to define the technical architecture and strategy for risk management systems and tools.
Analyze fraud, scam, and abuse patterns on crypto and fiat products, and create reports tracking loss metrics, false positives, and operational efficiency.
Apply statistical methods and targeted machine learning techniques to improve decision quality, operational efficiency, and signal detection.
Shakepay builds financial services to make buying and accumulating bitcoin simple, fast, and secure for Canadians. They are a regulated company with over a million users, backed by top venture capital investors with $44M in total funding, and have a passionate, growing community.
Analyze market microstructure and support internal risk dashboards and analytical tools.
Crypto.com serves more than 80 million customers and is the world's fastest growing global cryptocurrency platform, founded in 2016. It is committed to accelerating cryptocurrency adoption through innovation and empowering a diverse community, with a culture that values diversity, inclusion, and equal opportunities.
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.
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.
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.
Own strategy and execution for card fraud, while also contributing to broader fraud strategy across adjacent domains
Use data and quantitative analysis to design fraud controls, mitigate risk, and improve customer experience while balancing trade-offs
Partner with Compliance and Legal to ensure solutions align with regulatory requirements
Mercury is building a complete finance stack for startups. They work to create the easiest and safest banking experience possible to simplify entrepreneurs' and business owners’ financial lives.
Price deals in new merchant categories and design premium structures from first principles.
Build tooling to monitor loss ratios and recommend claims initiatives and premium adjustments.
Own the risk narrative with senior leadership, explaining loss ratio movements and next steps.
Extend enhances customer experience for retailers with AI-driven solutions. They offer automated customer service, returns management, and fraud detection and are backed by prominent technology investors.
Build analytics and procedures to monitor credit performance and protect Thrive’s bottom line.
Produce reporting and dashboards that communicate credit risk trends to stakeholders.
Monitor credit underwriting models and leverage AI/automation for more efficient insights.
Thrive Financial is a mission-driven fintech focused on enabling responsible, accessible financing. The company is in high growth mode and offers a fully remote, collaborative environment.
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.
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.