Staff Analyst, Advanced Analytics, Risk Insights

United States

Airbnb

Get an Airbnb for every kind of trip → 7 million vacation rentals → 2 million Guest Favorites → 220+ countries and regions worldwide

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Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join: 

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. If this sounds like an amazing challenge to you, we’d love to meet you!

The Difference You Will Make:

  • You are passionate about solving complex problems within the Payments, Risk and Compliance domain with data & insights; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis
  • You are highly proficient in building and analyzing analytical frameworks, statistical models and experimentation methods to establish and communicate causal relationships
  • You are a storyteller who uses complex data and insights to frame narratives to bring others along the journey
  • Ability to create impact for key  projects at the eTeam direct level by iInfluencing strategy and roadmap

A Typical Day: 

  • 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
  • You will 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. 
  • Ability to narrate a story for what problem you’re solving for and the vision you’re going after, combined with the capacity to dive into minute details
  • Provide guidance to platform to maintain a robust and reliable payments infrastructure, contributing to the overall financial health of the business 
  • A subject matter expert on payments risk detection, Machine Learning and AI providing guidance and support to internal teams and partners.

Your Expertise:

  • 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
  • Have 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 - comfortable acting with minimal planning, direction, and supervision. You can identify issues both within and outside of your immediate scope, and propose solutions.
  • 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
  • Strong sense of urgency for and commitment to Airbnb’s mission of belonging.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb Payments, Inc. (a subsidiary of Airbnb, Inc.) is a registered entity. Approved remote states include: Alabama, California, Florida, Georgia, Illinois, Minnesota, Mississippi, Nevada, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, Tennessee, Texas, and Washington. This list is continuously evolving, so please check back with us if the state you live in is excluded. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.  

Pay Range$172,000—$243,500 USD
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Tags: Airflow Business Analytics Causal inference Computer Science Data analysis Data Analytics Econometrics Engineering ETL Finance FinTech Generative AI Machine Learning Mathematics PhD Python R Research SQL Statistics

Perks/benefits: Career development Health care Salary bonus

Region: North America
Country: United States

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