Associate Payments Finance & Strategy

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. The Americas Payments Finance & Strategy (F&S) team is looking for a high caliber talent to act as a strategic thought partner on payments covering Latin America as well as supporting strategic commerce initiatives to shape the broader growth strategy for the region. This is an associate level, individual contributor role. You will play an essential role in defining the payments strategy in the region, identifying areas of opportunity within acquisition and retention, and leading day-to-day efforts to monitor and optimize payment performance. You will be part of the team responsible for turning payments data into business and product insights that inform and develop our payments strategy. This position will be based in Sao Paulo. RESPONSIBILITIES: * Evaluate financial impact of payments opportunities such as new method of payment launches, retention optimizations and ecosystem engagement * Financial projections and scenario modeling * Risk identification and mitigation strategies * Analyze payments performance to proactively identify improvement opportunities within acquisition, retention and costs across markets, methods of payments and external partners * Support payment partner engagement with digital wallets, banking institutions, gift card service providers and card networks (e.g. Visa/Mastercard) with a focus on improving performance * Create insightful presentations that facilitate decision-making for internal stakeholders and our external partners * Partnering with the Product team to help identify/prioritize and assess the impact of initiatives * Conduct global analyses on payments performance * Providing inputs to other teams working on payments initiatives (E.g. Data Science & Engineering, Consumer Insights) * Improve our analytical tooling and efficiency QUALIFICATIONS: Candidates are required to be strategic, analytical and effective communicators. Prior experience in management consulting or an equivalent analytical role is strongly preferred. Ideal candidates will have a proven track record of performing comprehensive analyses independently and proactively and be prepared to regularly “roll up their sleeves” to perform more mundane tasks on the same day that they present to the executives of the company. They must thrive in a fast-paced environment, possess a high level of intellectual curiosity, focus on generating results and exhibit the highest standards of integrity and ethics. * 5+ years of experience in an analytical role in management consulting or a tech firm. * Extensive experience conducting quantitative analysis that leads to actionable insights * Excellent verbal and written communication skills * Skilled in preparing effective presentations with clear narratives * Team player with strong interpersonal skills, but also able to work independently * Strong Excel skills (mandatory) * Comfort using AI tools to scale analysis, automate recurring work and move faster * Extensive experience managing complex projects with a lot of ambiguity, supporting multiple senior stakeholders * Payments experience in the direct to consumer space or at a fintech is preferred * Bachelor’s or master’s degree with emphasis on quantitative coursework is preferred * Outstanding command of English, both written and spoken. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.