Fraud Data Analyst

Riskified; São Paulo; Presencial; BRL 50.000 - 90.000; Tempo integral

Resumo da oferta

Uma empresa inovadora está em busca de um Analista de Dados de Fraude para se juntar à equipe de saúde do comerciante. Neste papel, você será fundamental na análise de dados e na prevenção de fraudes online, utilizando suas habilidades analíticas para fornecer insights valiosos aos clientes. Com um ambiente colaborativo e oportunidades de crescimento, você terá a chance de impactar positivamente a experiência do cliente e a performance dos negócios. Se você é apaixonado por dados e resolução de problemas, esta é a oportunidade perfeita para você se destacar em um setor em rápida evolução.

Qualificações

• 1-2+ anos de experiência em análise de fraudes e dados complexos.
• Proficiência em SQL e experiência prática com R/Python.

Responsabilidades

• Pesquisar e explorar dados usando ferramentas analíticas avançadas.
• Definir e executar soluções técnicas para problemas de prevenção de fraudes.

Conhecimentos

Análise de Dados

Resolução de Problemas

Pensamento Crítico

Fluência em Inglês

Fluência em Português

Ferramentas

SQL

R

Python

Descrição da oferta de emprego

Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.

We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day.

About the Role

We are looking for a Fraud Data Analyst to work directly with our customers on our Merchant Health Team. You will be part of a growing analytics team that is responsible for Riskified’s customers’ performance and online fraud prevention using quick problem-solving skills in real time. You will own a major part in researching and investigating new online-fraud trends and stand at the forefront of Riskified’s work. You’ll leverage your data analysis skills and knowledge of our product to provide meaningful insights directly to our customers.

What You'll Be Doing

• Research and explore data, using high level analytical tools (R and SQL) in a high level technical environment
• Master the online fraud prevention domain through hands-on analysis of live data
• Define and execute end-to-end technical solutions for fraud-prevention problems
• Share deep analysis conclusions and sophisticated technical methods in a clear manner to both technical and non-technical audiences
• Work with account managers, meet directly with clients, and deliver analytical insights to business questions
• Collaborate with various teams within Riskified to enhance processes and meet customers’ needs

Qualifications

• Fluent (written and verbal) in English and Portuguese required
• 1-2+ years in fraud analytics
• 1-2+ years of relevant strong analytical experience with complex data
• 1-2+ years of hands-on work experience with SQL (must be proficient)
• 1-2+ years of hands-on work experience with R / Python (must be proficient)
• Experienced problem solver and critical thinker
• Ability to work simultaneously on different tasks and lead multiple projects

*The position requires occasional evening and weekend shifts (schedule is flexible) as we support a global client base

*Please submit your CV/Resume in English

Seniority level

• Associate

Employment type

• Full-time

Job function

• Information Technology
• Technology, Information and Internet