Data Scientist – Visa Consulting, Analytics

🕒 Junho 27

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Visa

SiteLinkedInTodas as Vagas

10.000+ funcionários

💳 Fintech

💸 Finanças

🏦 Bancário

💰 Post IPO equity em 2016-10

Fintech • Finance • Banking

A Visa é uma empresa global de tecnologia em pagamentos que conecta consumidores, comerciantes, instituições financeiras e governos para viabilizar pagamentos e comércio eletrônico. Ela opera uma rede mundial de cartões para pagamentos com crédito, débito e pré-pagos, fornecendo serviços de processamento de pagamentos, segurança e mitigação de fraudes, análise de dados e produtos de valor agregado para consumidores e empresas. A Visa investe em soluções de pagamento de próxima geração (incluindo comércio impulsionado por IA), apoia iniciativas de inclusão financeira através da Visa Foundation e oferece benefícios de cartões para consumidores e serviços para comerciantes.

Descrição

• Execute and deliver data analytics projects for the Visa client • Drive credit card portfolio strategies with the use of client data and/or other sources of data e.g. Visa data, third party etc. • Act as analytics advocate within our partners, advising teams and sharing best practices and case studies. • Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent, and infrastructure. • Explore leading methodologies, best practices and import successful methodologies from other international markets • Effectively interact with clients and manage internal/external stakeholder communication

🎯 Requisitos

• 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience • Degree in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent • Minimum 3+ years of analytics experience in applying statistical solutions to business problems • Experience in credit card analytics, and/or retail banking analytics • Hands on experience with one or more data analytics/programming tools such as SAS/Hadoop/R/SQL/Python/Hive • Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically • Presentation and data storytelling skills including strong hold on MS Excel and PowerPoint • Self-motivated, results oriented individual with ability to handle multiple projects concurrently • Experience in working closely with data science community

🏖️ Benefícios

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events