Senior Data Scientist – Fraud Intelligence

October 21

Apply Now

Receive Emails with Similar Jobs

Neon

WebsiteLinkedInAll Job Openings

Fintech

Neon is a Brazilian financial technology company that offers a comprehensive digital financial service through a mobile app. As an authorized payment institution by the Central Bank of Brazil, Neon provides customers with a digital account service, credit cards without annual fees, investment options like CDBs, personal loans, and various financial solutions for individuals and businesses, including MEI services. Their app facilitates easy financial management by integrating services such as virtual cards for secure online transactions, cashback on purchases, and the practical use of Pix for instant transfers. Although not a digital bank, Neon offers banking-like services powered by technology to promote financial innovation while ensuring high standards of security for its users.

1001 - 5000 employees

Founded 2016

💳 Fintech

📋 Description

• Development of Fraud Detection Models: Participate in the full lifecycle of detection model development, from design and technical planning (defining target population, samples, analysis periods) through implementation, documentation and performance monitoring. • Data Analysis and Processing: Investigate, mine, and manipulate large volumes of data to conduct studies, understand fraud risk profiles, and produce the inputs required for modeling. • Analytical Solutions and Compliance: Propose and develop the most appropriate modeling solution for each fraud-related problem, with a primary focus on ensuring regulatory compliance and methodological robustness. • Technical Documentation: Create and maintain detailed documentation of the entire development process, ensuring traceability and support for internal and external audits. • Strategic Collaboration: Collaborate closely with Development and Technology teams to ensure alignment and correct implementation of fraud prevention models.

🎯 Requirements

• Education: Bachelor’s degree in Statistics, Mathematics, Physics, Computer Science, Engineering, or a related field. • Modeling Experience: Solid experience developing outlier-detection models related to fraud, preferably in the financial sector. • Technical Skills: • - Python and Spark: Proficiency using Python for data analysis and model implementation. • - SQL: Advanced experience with SQL for manipulating large datasets (e.g., PySpark, Athena, Trino). • - Code Versioning: Experience with code hosting/version control platforms such as GitHub or Bitbucket. • Analytical Ability: Strong capability to identify problems, interpret complex requirements, and propose appropriate, efficient analytical solutions. • Behavioral Profile: Collaborative mindset, passion for continuous learning, strong results orientation, and excellent communication skills.

🏖️ Benefits

• Truly remote work model, with team meetups every three months in São Paulo. Includes a credit to purchase a home office kit and partnerships for coworking access; • Flash Card: customize your benefits package with meal and food vouchers, transportation allowance, and education assistance; • Gympass, with a network of gyms and online classes; • Parental support including daycare or nanny assistance and extended parental leave; • Medical and dental insurance; • Open English: discounted lesson packages exclusively for Neowners and their dependents; • Discounts on MBAs and specializations at USP ESALQ.