Analista de Planejamento de Custo SR managing integrated financial management in TI. Involves budgeting, forecasting cycles, and monthly financial closing.
About the role
- Fraud Strategy and Prevention Analyst at PagBank developing predictive fraud prevention strategies using machine learning techniques and data analysis. Collaborating with technology and product teams to enhance antifraud solutions.
Responsibilities
- Develop and implement predictive fraud prevention strategies using supervised and unsupervised machine learning (decision trees, gradient boosting, clustering, outlier detection).
- Design, evolve and document analytical pipelines and databases that support antifraud decision-making.
- Create, calibrate and optimize operational rules in decision engines using statistical analysis, historical and behavioral data.
- Conduct A/B tests to evaluate the impact of new models, policies and adjustments to decision flows.
- Continuously monitor transactions, credit operations and suspicious events, identifying patterns, anomalies and emerging fraud vectors.
- Perform advanced exploratory and diagnostic analyses to investigate deviations and develop new antifraud hypotheses.
- Work in partnership with Technology, Product and Customer Support teams to implement, monitor and evolve antifraud solutions.
- Identify vulnerabilities in internal flows and propose improvements supported by data analyses and indicators.
- Produce executive reports with strategic insights and recommendations for different levels of the organization.
- Develop, update and maintain standard operating procedures (SOPs) related to fraud prevention.
- Implement and monitor risk controls for individual (retail) and corporate clients, ensuring compliance and ongoing mitigation.
- Contribute to strengthening governance practices by supporting policies, metrics and monitoring routines.
Requirements
- Bachelor's degree in Computer Science, Engineering, Statistics, Economics, Mathematics, Information Systems or related fields.
- Proven experience in fraud prevention and detection at financial institutions, fintechs or technology companies.
- Strong background in data analysis, statistical modeling and machine learning applied to risk and fraud.
- Proficiency in SQL, Python and/or R.
- Experience working with large volumes of data, including data cleaning, extraction and interpretation of complex patterns.
- Experience creating, maintaining and optimizing rules in antifraud/transaction monitoring engines.
- Knowledge of data visualization tools (Power BI, Tableau, Looker, etc.).
- Experience in ongoing evaluation of rule and model performance.
- Advanced MS Office skills.
- Intermediate English.
Benefits
- Meal allowance and/or meal vouchers.
- Health and dental insurance.
- Life insurance.
- Partnerships with TotalPass and ZenKlub.
- Extended maternity and paternity leave.
- Childcare assistance.
- Up to 50% discounts on postgraduate and MBA programs from leading institutions such as FIA, FAAP and PUCRS.
- No dress code: wear what makes you comfortable.
- Birthday day off (#TáDeParabéns).
- Baby Gift for newborns.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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