SpaceX designs, manufactures and launches the world’s most advanced rockets and spacecraft. The company was founded in 2002 by Elon Musk to revolutionize space transportation, with the ultimate goal of making life multiplanetary.

SpaceX has gained worldwide attention for a series of historic milestones. It is the only private company ever to return a spacecraft from low-Earth orbit, which it first accomplished in December 2010. The company made history again in May 2012 when its Dragon spacecraft attached to the International Space Station, exchanged cargo payloads, and returned safely to Earth — a technically challenging feat previously accomplished only by governments. Since then Dragon has delivered cargo to and from the space station multiple times, providing regular cargo resupply missions for NASA.

At SpaceX, we're leveraging our experience in building rockets and spacecraft to deploy Starlink, the world's most advanced broadband internet system. Starlink is the world's largest satellite constellation and is providing fast, reliable internet to 2M+ users worldwide. We design, build, test, and operate all parts of the system – thousands of satellites, consumer receivers that allow users to connect within minutes of unboxing, and the financial systems and frameworks to create an accessible and cost-effective consumer product.

Our payment philosophy for Starlink is for our customers to be able to pay for our services using the same local payment methods as they do for their existing providers. We have only begun to scratch the surface of Starlink's potential global impact and are looking for best-in-class analysts to maximize Starlink's payment performance and access for communities and businesses around the globe.

As a Sr. Data Analyst on the Starlink Payment Risk program, you will solve challenges underpinning every aspect of the program's growth. You could expect to build next-generation predictive models to intercept fraudulent activity within an ever-expanding portfolio of products, markets and users. You would also support optimization analysis for novel fraud controls, policies, limits and operational strategies. Lastly, you can expect to support with data mining, and building pipelines, dashboards and investigative views to enable rapid detection and quantification of fraud, and business impact metrics for risk countermeasures

The ideal candidate is an accountable and resilient team-player who brings a combination of business instincts, technical skills and raw analytical horsepower necessary to support the rapid growth of Starlink internet.

RESPONSIBILITIES:

• Identify, investigate and monitor fraudulent or anomalous activity, including isolating and quantifying specific trends driving changes to fraud and payment patterns
• Design and implement real-time fraud rules and models, including historical back testing analysis, offline evaluation and production performance impact monitoring
• Analyze large amounts of data from numerous internal and external sources, and produce authoritative reports and root-cause analysis on fraudulent activities and chargebacks
• Implement data driven, risk-based solutions and policies to mitigate fraud and chargebacks
• Evaluate risk exposure for new products, markets, and pricing initiatives to develop the risk-mitigation strategy to minimize fraud and enable growth
• Provide guidance and subject matter expertise to the Customer Support team to codify policies and best practices regarding chargebacks, account takeover, authorizations, delinquency and other fraud scenarios
• Coordinate necessary administration work related to payment fraud, chargebacks and other disputes with relevant parties and automate manual processes wherever possible

BASIC QUALIFICATIONS:

• Bachelor's degree
• 5+ years of professional experience in an analytical role in the payments, risk, security, finance, and/or technology sector
• SQL work experience

PREFERRED SKILLS AND EXPERIENCE:

• Experience with large datasets, data collection/pipelining, analytical software and using visualization/dashboarding tools
• Knowledge of risk management systems, tools and automated decision-platforms
• Experience designing real-time rules and machine learning models.
• Understanding of end-to-end payment sequence and processing ecosystem. Experience working with variety of payment methods in multi-processor environment
• Strong research, analytical, investigative and communications skills
• Multinational experience managing risk and fraud across multiple countries, regions, currencies, and verticals across the world in e-commerce setting
• Knowledge of and experience working with third party vendors related to payment risk and fraud mitigation tools

ADDITIONAL REQUIREMENTS:

• This position is based in Hawthorne, CA and requires being onsite - remote work is not considered
• Willingness to work long hours and weekend when needed to meet critical deadlines