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SENIOR DATA SCIENTIST, RISK

São Paulo - São Paulo

Descrição da oferta de emprego

Senior Data Scientist, Risk - 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. Were 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. The Risk Data Science team leverages data and AI to manage financial risk (fraud, money laundering, and credit), striking a balance between mitigating those risks and creating a positive experience for our customers. What youll do Our Data Scientists are responsible for the entire model development lifecycle from conception with stakeholders, developing the model in a notebook, putting it into production, and circling back with stakeholders to make product or strategic decisions. Responsibilities Drive Data & AI solutions from inception to deployment to efficiently manage risk Be responsible for the full machine learning lifecycle: data acquisition, model design, training, productionization, and monitoring Partner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance, and Credit) Requirements 4+ years of experience in Data Science/ML roles Expertise with Python programming, SQL queries, and ML-related frameworks Previous experience in the Risk domain (Fraud, AML, and/or Credit) Strong communication and interpersonal skills English proficiency/fluency, both written and speaking (note: interviews will be conducted in English) Must be willing to work in office 2 days per week on Wednesday and Thursday. Experience working with real-time data sets Experience in the finance industry Location Must be working in Brazil at the start of role #J-18808-Ljbffr
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Detalhes da oferta

Empresa
  • Caderno Nacional
Localidade
Endereço
  • Indeterminado - Indeterminado
Data de publicação
  • 23/12/2024
Data de expiração
  • 23/03/2025
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