Design and execute structured evaluation frameworks to assess the quality and fraud-signal value of incoming data assets from vendor partners.
Build lift analyses, backtests, and champion/challenger comparisons to quantify the incremental value of new data signals against our existing fraud detection stack.
Collaborate with fraud leadership to define evaluation criteria and translate vendor data findings into actionable recommendations such as adopt, pilot, or decline.
Own data products end-to-end, delivering best-in-class outputs with a focus on accuracy, client value, and efficiency.
Tackle complex data problems using strong analytical judgment to refine methodologies and solve challenges with creative thinking.
Use AI and tooling to drive leverage, automating workflows while maintaining a high bar for correctness and quality.
YipitData is the leading market research and analytics firm for the disruptive economy, analyzing billions of alternative data points for investment funds and Fortune 500 companies. Recognized by Inc. as a Best Workplace for three consecutive years, the company operates globally with offices in the US, APAC, and India, emphasizing transparency, ownership, and continuous mastery.
Independently manage data quality end-to-end and resolve complex issues across data pipelines and sources.
Improve category classification and product attribution while collaborating with cross-functional partners.
Serve as a trusted resource for clients and internal stakeholders, communicating complex problems in simple terms.
YipitData is the leading market research and analytics firm for the disruptive economy, analyzing billions of alternative data points to uncover actionable insights. The company has raised $475M from The Carlyle Group, valued at over $1B, operates globally with offices in the US, APAC, and India, and has been recognized by Inc. as a Best Workplace for three consecutive years.
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.
Investigate suspicious activity and enforce company policies to protect the expert contributor ecosystem.
Identify emerging fraud trends and refine operational runbooks for detection and mitigation.
Collaborate with cross-functional teams and vendors to maintain workforce integrity and compliance.
Snorkel AI helps enterprises transform expert knowledge into specialized AI at scale, starting as a Stanford AI Lab research project in 2015. The company works with some of the world's largest organizations to empower scientists, engineers, financial experts, and more to build custom AI with their data.
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.
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.
Perform deep data analysis across large, complex datasets to uncover trends, anomalies, and insights.
Develop advanced SQL queries for data extraction, transformation, and validation.
Execute data validation checks to ensure completeness, accuracy, and consistency across systems.
TTEC Digital pioneers engagement and growth solutions that fuel exceptional customer experience. With over 1,800 employees, the company is part of TTEC Holdings and has been recognized as a Great Place to Work for 2024-2025, fostering a diverse and inclusive workforce.
Analyze data to identify trends, patterns, and anomalies, supporting root cause analysis and performance investigations.
Write and maintain SQL queries using joins, CTEs, and window functions, and support query optimization and performance improvements.
Help enhance and maintain scenario models, track forecast accuracy, and build dashboards and standard reports.
Upgrade helps customers move in the right direction with affordable and responsible financial products. Since 2017, they've helped over 7.5 million customers access over $42 billion in consumer credit and are backed by prominent technology investors, most recently valued at $7.3B.
Own Kepler data content end-to-end, driving product success with accurate outputs and increasing client value.
Tackle complex data problems using analytical judgment to refine methodologies and derive key insights.
Use AI and tooling to drive leverage, automating workflows and validating outputs.
YipitData is the leading market research and analytics firm for the disruptive economy, having raised $475M. Its award-winning, people-centric culture emphasizes transparency, ownership, and continuous mastery.
Generate insights that drive strategic direction through proactive analysis.
Bring data-driven rigor to product development and structure complex projects.
Create metrics to understand user behavior and drive product decisions.
Monzo is a digital bank on a mission to make money work for everyone, offering personal and business accounts, savings, investments, and pensions. With over 12 million customers in the UK and a strong culture of data-driven decision making, they have built a product that people love, with over 80% of growth coming from word of mouth and referrals.
Monitor merchant processing activity to identify suspicious transactions and potential fraud.
Investigate alerts and review reports to mitigate company losses and ensure compliance.
Collaborate with cross-functional teams to design risk strategies and maintain SOPs.
Xplor provides cloud-based technology solutions for small and medium-sized businesses to manage payments and operations, processing over $47 billion annually for 130,000+ businesses in 72+ countries. The company is backed by investors Advent International, Battery Ventures, and Silver Lake, and fosters a culture guided by values of simplicity, purpose, community, and people-first.
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.
Own the fraud P&L and set the fraud strategy across all products.
Lead, develop, and build a strong second line of leadership in the Risk & Fraud team.
Partner cross-functionally with Product, Engineering, Finance, and Legal to embed fraud risk from the start.
Eneba builds an open, safe, and sustainable marketplace for gamers, supporting close to 20 million active users. The company has a fast-growing, high-volume digital business with a culture focused on trust, safety, and scalability.
Own complex Trust & Safety escalations from internal teams and external customers, making documented, data-backed final decisions.
Use SQL and BI tools to independently investigate fraud patterns, build detection rules, and monitor platform integrity.
Identify gaps in review integrity policies and propose evidence-based enforcement updates in partnership with the Director of Trust & Safety.
G2 is the world's largest and most trusted software marketplace, helping businesses make better decisions through trusted user insights. The company has 200M+ annual visitors, 6M verified reviews, and a global community of over 1,000 employees grounded in PEAK values—Performance, Entrepreneurship, Authenticity, and Kindness.
Partner with commercial, finance, and executive stakeholders to transform vague business questions into scoped analytical problems.
Design and run rigorous experimental analyses (e.g., Diff-in-Diff, propensity methods) to evaluate promotions and measure causal impact.
Architect and maintain large commercial datasets using SQL and dbt on BigQuery, and build predictive models for seven-figure decisions.
Juul Labs is on a mission to transition the world's billion adult smokers away from combustible cigarettes and combat underage usage. Backed by leading technology investors, they are a diverse team united by this purpose, hiring world-class engineers, scientists, and business professionals.
Apply analytics methods to gain insights across go-to-market teams such as conversion funnels and attribution.
Consolidate diverse findings into compelling narratives that can be applied across the company.
Advocate for data-informed decisions by partnering with key stakeholders and senior leaders.
Tremendous is a platform for sending bulk payouts to people in over 230 countries. With 20,000+ customers and over $1 billion sent, the company is profitable and fully remote with a high-documentation, low-meeting culture.
Build and maintain analytical tooling and data infrastructure for Reddit's Large Customer Sales channel using BigQuery and SQL.
Drive sales rigor and optimize performance by translating complex data insights into actionable business strategies.
Partner with cross-functional teams including Sales, Finance, and Data Science to shape revenue strategy and build AI-ready data foundations.
Reddit is a community of communities, built on shared interests and authentic conversations. With over 100,000 active communities and approximately 126 million daily active users, it is one of the internet's largest information sources, fostering an open and passionate culture.
Identify fraud, waste, and abuse patterns in Medicaid home and community-based care data.
Translate findings into scalable detection capabilities embedded within the HHAeXchange platform.
Collaborate with product, engineering, and customer teams to ensure detection logic is operationally sound and actionable.
HHAeXchange is a leading technology platform for home and community-based care, providing an end-to-end homecare solution for aging or disabled individuals. Founded in 2008, the company employs passionate professionals transforming healthcare by connecting patients, providers, managed care organizations, and states.
Develop, validate, and optimize statistical and machine learning models including regression and XGBoost to detect and prevent fraud.
Design features, build tools, and deploy models in production environments to improve performance and stability.
Conduct model governance activities including validation, documentation, and ongoing monitoring with clear reporting.
Experian is a global data and technology company powering opportunities for people and businesses worldwide, operating across financial services, healthcare, automotive, and more. With 23,300 employees in 32 countries, the company is a FTSE 100 Index listed firm recognized for its people-first culture and advanced technology investments.
Conduct in-depth analysis to shape product-led growth and B2B strategy.
Leverage AI tools to build self-service analytics enabling stakeholders to access reliable metrics.
Collaborate with product and engineering teams to drive experimentation culture and practices.
Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and have the backing of some of the world's greatest investors, including OpenAI, Andreessen Horowitz, Redpoint Ventures, and Spark Capital.