Fraud Data Analyst

Riskified; São Paulo; Presencial; BRL 30.000 - 70.000; Tempo integral

Resumo da oferta

Join a forward-thinking company as a Fraud Data Analyst, where you will play a pivotal role in combating online fraud and enhancing customer performance. In this dynamic position, you will leverage your analytical skills and expertise in SQL and R to explore data, define solutions, and communicate findings to both technical and non-technical audiences. You'll collaborate closely with account managers and various teams, ensuring the highest level of service for clients while navigating the ever-evolving landscape of online fraud. If you thrive in a collaborative environment and are passionate about data-driven insights, this opportunity is perfect for you.

Qualificações

• 1-2+ years in fraud analytics with hands-on experience in SQL and R/Python.
• Fluency in English and Portuguese is required for this role.

Responsabilidades

• Research and analyze data to prevent online fraud using SQL and R.
• Collaborate with teams and deliver insights to clients on fraud prevention.

Conhecimentos

Data Analysis

Problem Solving

Critical Thinking

Fluent in English

Fluent in Portuguese

Ferramentas

SQL

R

Python

Descrição da oferta de emprego

About Us

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.