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.
Design, develop, and optimize predictive risk models and decision frameworks across payment rails and cryptocurrency domains.
Partner with Product, Engineering, and Operations to embed model-driven risk decisioning throughout the customer journey.
Conduct deep-dive investigations into fraud events and payment losses, supporting model governance and regulatory review.
Binance.US is a licensed and regulated U.S. crypto platform providing secure access to over 190 cryptocurrencies with low fees. It is a remote-first team of innovators building the bridge between traditional finance and Web3, committed to financial freedom for all.
Design and build scalable data pipelines and architectures using Databricks, Azure Data Factory, and ADLS to support analytics and AI use cases.
Integrate structured and unstructured data from multiple enterprise sources into robust cloud data platforms for financial domains like credit analysis and document intelligence.
Apply DevOps practices and collaborate with stakeholders to modernize legacy reporting systems and enable real-time data-powered decision-making.
This role is listed on behalf of a partner company that focuses on data-driven transformation initiatives, designing scalable data pipelines for advanced analytics and AI use cases. They offer a collaborative technical environment and invest in continuous learning and cutting-edge technologies.
Act as the dedicated analytics partner to product managers, supporting deep analysis of product usage, user behavior, and feature performance.
Deliver cross-product and segment-level insights that provide a broader perspective beyond individual product squads, influencing roadmap decisions.
Design, evaluate, and interpret A/B tests and experiments, ensuring statistical rigor and actionable outcomes.
Our partner is a leading workflow automation platform that helps users derive value from a highly technical, product-led organization. They offer a fully remote-first environment with a culture of transparency, autonomy, and high ownership, and host regular hackathons and innovation initiatives.
Lead the AI and Machine Learning strategy, aligning with business and product objectives.
Oversee the research, development, and deployment of AI/ML solutions from concept to production.
Mentor teams and educate stakeholders on AI capabilities, limitations, and practical applications.
Smart Working is a remote-first company that connects skilled professionals with global teams for full-time roles. They are one of the highest-rated workplaces on Glassdoor, valuing growth and well-being.
Apply advanced statistical analysis, data mining, and machine learning techniques to complex engineering datasets.
Develop data pipelines, automation systems, and scalable infrastructure for real-time and batch processing.
Collaborate with research teams and external partners to drive innovation and scientific impact.
The Accelerator at Princeton includes a portfolio of multiple planned independent and intersecting tools. It is part of Princeton University, an equal opportunity employer with a mission of advancing scientific research and fostering collaboration.
Execute and advance the enterprise data science and AI strategy aligned to organizational goals.
Design, develop, and deploy advanced machine learning models including predictive modeling and LLMs.
Partner with engineering teams to operationalize MLOps practices and productionize models.
Pyramid Systems is an award-winning technology leader driving digital transformation across federal agencies. Voted a Top Workplace both regionally and nationally, the company values flexible work, employee voice, and development.
Work directly with TelCo clients to uncover emerging fraud trends and co-build detection models using cross-industry data.
Translate ambiguous client questions into clear analytical plans and execute them independently from start to finish.
Build reusable tools, templates, and analytical frameworks to scale the fraud analytics consortium offering.
Experian is a global data and technology company that redefines lending, prevents fraud, simplifies healthcare, and creates digital marketing solutions across multiple industries. As a FTSE 100 company with 23,300 employees across 32 countries, they prioritize innovation, inclusion, and a people-first culture.
Design, configure, and maintain AI agent workflows using Cursor and Claude Code for automated data system architecture.
Build and maintain a RAW → Base → Data Marts pipeline using dbt Core and implement business logic at the transformation layer.
Build comprehensive test suites using Great Expectations and ensure data quality through manual inspection and automation.
BiOptimizers helps people go from baseline health to peak biological performance with science-backed supplements and wellness tools. As a remote-first company, their globally distributed team focuses on clarity, autonomy, and operational excellence.
Collaborate with Product, Engineering, and Commercial teams as the analytical backbone of your pillar, blending statistical rigor with commercial judgment.
Lead experimentation across your pillar, designing tests, sizing opportunities, and fostering evidence-based iteration.
Create self-serve dashboards and standardize metrics using AI-assisted workflows to accelerate output and focus on high-value problems.
Software Mind develops impactful solutions for global companies, working with tech giants and unicorns on transformative projects. The culture embraces openness, respect, grit, and combines employment with enjoyment among cross-functional engineering teams.