Senior Software Engineer, Risk

Brex; São Paulo; Híbrido; BRL 60.000 - 100.000; Tempo integral

Resumo da oferta

An innovative company is seeking a passionate software engineer to join their team in São Paulo. This role focuses on building data-driven systems for risk management, ensuring high-quality decision-making processes, and collaborating with talented professionals. You'll work on impactful projects that safeguard customers and enhance financial services. With a commitment to diversity and inclusion, this company empowers employees to push their limits and grow their careers. If you're eager to challenge the status quo and make a difference in the financial landscape, this opportunity is perfect for you.

Serviços

Flexible Working Hours

Health Insurance

Professional Development Opportunities

Collaborative Work Environment

Qualificações

• 5+ years of experience in software engineering or equivalent.
• Strong knowledge of machine learning systems and model deployment.

Responsabilidades

• Ensure high-quality data for decisioning systems and risk management.
• Develop low-latency decision systems for customer onboarding and payments.

Conhecimentos

Machine Learning Theory

Software Engineering

Backend Programming (Kotlin, Python)

Communication Skills

Interpersonal Skills

Formação académica

Bachelor's Degree in Computer Science or Related Field

Ferramentas

scikit-learn

TensorFlow

PyTorch

Descrição da oferta de emprego

Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Brex is reimagining financial systems so every growing company can realize its full potential. As the financial OS, we’re building software and services in one place—disrupting long-entrenched institutions with products and experiences that better serve the ambitions of our customers.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Engineering at Brex

The Engineering team includes Data, IT, Security, and Software, and is responsible for building innovative products and infrastructure for both internal and external users. We have multiple autonomous and collaborative teams who are eager to learn, teach, and constantly improve how things work. Together, we strive to build robust and scalable systems that enable Brex to grow rapidly and help our customers reach their full potential.

What you’ll do

We are seeking individuals passionate about building data-driven systems to manage risk at scale. You will have significant exposure to every aspect of financial crime prevention, from building customer facing experiences to working closely with data scientists to seamlessly integrate models into production. As Risk services interface with multiple systems across Brex, excellent interpersonal and written communication skills are essential. You will be working on high-impact projects requiring high development standards, handling and upkeep integrity of sensitive data, and ensuring compliance while driving monetary outcomes. In this role, you’ll gain specialized knowledge in risk management and contribute to building the most beloved financial services and softwares, all while safeguarding our customers, our platform, and the integrity of the financial market.

Where you’ll work
This role will be based in our São Paulo office. You must be willing to work in office at least 2 days per week on Wednesday and Thursday, starting the week of September 1st, 2025. when we open our Sao Paulo office.

Responsibilities

• Ensure that the data for our decisioning systems is always of the highest quality, utilizing best-in-class services (risk vendors and internal models) to provide actionable insights that drive risk management and customer experience improvements
• Develop low-latency decision systems for assessing risk during customer onboarding, payments, authentication, and in-app, leveraging machine learning models.
• Build in-product levers that enhance our decisioning systems while striving to make risk management invisible
• Building systems and tools for comprehensive customer due diligence, including KYC, sanctions, adverse media, PEP, and AML monitoring.

Requirements

• 5+ years of professional experience in a software engineering role or equivalent experience
• Strong fundamental knowledge in at least one of the following: machine learning theory or systems, including experience with developing and deploying ML models.
• Experience building and designing scalable decisioning systems
• Experience working with backend programming languages (Kotlin, Python)
• Experience with common machine learning libraries (e.g., scikit-learn, tensorflow, pytorch)
• Ability to hold yourself and the team to high standards
• Strong communication and interpersonal skills
• Must be willing to work in office 2 days per week on Wednesday and Thursday
• Publications or contributions to open-source projects related to data-intensive systems.
• Familiarity with algorithms for decision-making under uncertainty, including Bayesian networks, Markov decision processes, or reinforcement learning

Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with abrex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.