Airbnb-posted 10 months ago
$176,000 - $220,500/Yr

We are seeking a highly skilled and experienced professional to join our team as the Staff Analyst, Advanced Analytics - Risk Insights. In this role, you will play a critical part in executing the strategic direction of Airbnb's Payments Platform. Our Payments platform organization has 2 domains: Payments and Commerce platform - facilitating money movement and exchange of value while also fueling growth for our business, Payments Compliance and Payments Risk - ensuring safe and efficient payment processing. This role is in the Payments Risk and Compliance domain. The Staff Analyst, Advanced Analytics, Risk Insights role, reporting to the Director of Payments Analytics, will define the Analytics strategy and partner with product and operations in enabling world class Risk capabilities, ensuring Airbnb is able to protect and grow our community. You’ll bring the latest thinking from the world of Machine Learning and Generative AI to shape the future of fraud detection at Airbnb. You’ll partner with functional experts in other business units across Airbnb to create a cohesive strategy in all-key decision making. You will work with a cross functional team of engineers, product managers, operations and legal to bring capabilities to market, and scale globally.

  • Generating risk and compliance analytics reports that provide insights to the right audience at the right time
  • Analyzing risk and compliance data for insights and performance evaluation
  • Provide regular updates and reports to management and stakeholders
  • Assist with analyzing risk performance and health, triaging the issue, and provide recommendation on the best course solution and optimization
  • Collaborate on Payments teams, including both payin and payout processing to ensure smooth end to end execution
  • Assist with initiatives to optimize the end-to-end payments journey by identifying pain points, friction areas, and improvement opportunities
  • Collaborate with driving Host and Guest advocacy to enhance payment experience, amplifying voices and addressing concerns with impactful and measurable results
  • Assist with building new payment strategies to balance financial risk and experience for different seller segments by utilizing advanced data analytics, both internal and external, to inform strategic decision-making
  • Stay abreast of industry trends, emerging technologies, and regulatory changes in the payments landscape. Proactively identify opportunities for innovation
  • Oversee the day to day operations in partnership with finance
  • Ensure accurate and efficient handling of payments transaction
  • Monitor payment trends, identify areas for improvement and implement strategies to optimize payments processing
  • Provide guidance to platform to maintain a robust and reliable payments infrastructure, contributing to the overall financial health of the business
  • Act as a subject matter expert on payments risk detection, Machine Learning and AI providing guidance and support to internal teams and partners
  • 10+ years of industry experience in business analytics and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
  • Excellent problem-solving, organizational, analytical, and influencing skills
  • Experience supporting Payments team and/or have worked closely
  • Expert skills in SQL and expert in at least one programming language for data analysis (Python or R)
  • Experience with non-experimental causal inference methods, experimentation and machine learning techniques, ideally in a multi-sided platform setting
  • Working knowledge of schema design and high-dimensional data modeling (ETL framework like Airflow)
  • Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment
  • Prior experience working with Payments Risk including Machine Learning, Transaction Risk
  • Fintech experience strongly preferred, experience collaborating with external auditors
  • Experience leading complex projects, leveraging ML, operations, and external vendors
  • Technical chops as a data scientist or analyst
  • Growth mindset that effectively balances the need to protect the community with the need to grow the community
  • Global perspective and experience with global payment programs and global teams
  • Operations experience working with operations teams, making smart investments in tools and workflow processes to scale up the team
  • Base pay range of $176,000—$220,500 USD
  • Bonus eligibility
  • Equity options
  • Employee Travel Credits
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