Data Analyst - Fraud Prevention

CloudWalk, Inc.; São Paulo; Presencial; BRL 180 000 - 280 000; Tempo integral

Resumo da oferta

CloudWalk, Inc. is seeking a results-driven Risk Analyst to join the Risk Team defending millions of merchants and users from fraud and financial crime.

You will build detection logic, analyze transaction data, and collaborate with engineers to deploy real-time risk solutions while coordinating with legal, compliance, and support teams. Proficiency in SQL and Python, plus fluent Portuguese and strong English, are required.

Qualificações

• Strong SQL — not 'I've seen it', but 'I can write it in my sleep under pressure'
• Programming chops (Python is your friend here)
• Analytical mindset with a bias for conclusions over hypotheses
• The ability to make a call with imperfect information and own it
• Fluent Portuguese + solid English (we read a lot of docs in both)
• Curiosity that doesn't turn off at 6pm

Responsabilidades

• Build and own detection logic: rules, models, automated monitors, and alerts.
• Dig deep into transaction data to find patterns nobody else noticed — then turn that into a decision, a process, or a new control
• Work alongside engineers to ship real-time risk solutions that actually land in production.
• Interface with legal, compliance, and customer support teams when investigations get complex.
• Leverage AI tools as a force multiplier

Conhecimentos

SQL

Python

Analytical mindset

Decision making

Portuguese

English

Curiosity

Ferramentas

AI tools

Descrição da oferta de emprego

About CloudWalk

We are not just another fintech unicorn. We are a pack of dreamers, makers, and tech enthusiasts building the future of payments. With millions of customers and a hunger for innovation, we're now expanding our neural network - literally and metaphorically.

The Risk Team is CloudWalk's last line of defense. We're who protect millions of merchants and users from fraud, financial crime, and bad actors, while making sure legitimate business flows without friction.

What You'll Do

• Build and own detection logic: rules, models, automated monitors, and alert systems
• Dig deep into transaction data to find patterns nobody else noticed — then turn that into a decision, a process, or a new control
• Work alongside engineers to ship real-time risk solutions that actually land in production
• Interface with legal, compliance, and customer support teams when investigations get complex
• Leverage AI tools as a force multiplier

What You Need to Succeed

Strong SQL — not "I've seen it", but "I can write it in my sleep under pressure"

• Programming chops (Python is your friend here)
• Analytical mindset with a bias for conclusions over hypotheses
• The ability to make a call with imperfect information and own it
• Fluent Portuguese + solid English (we read a lot of docs in both)
• Curiosity that doesn't turn off at 6pm

The Future We See

At CloudWalk, we envision a future where AI empowers every field to reach new heights:

• People teams leveraging AI to transform talent acquisition and employee development.
• Marketing professionals creating data-driven, AI-powered campaign strategies.
• Customer Success teams enhancing client experiences with intelligent solutions.
• Risk analysts combining human expertise with AI to navigate complexities.
• Designers collaborating with AI to push creative boundaries.

Join us at CloudWalk, where we're not just engineering solutions; we're building a smarter, AI-driven future for payments—together.

By applying for this position, your data will be processed as per CloudWalk's Privacy Policy that you can read here in Portuguese and here in English.

We use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.