Senior Fraud Prevention Strategy Analyst – Data

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Act as the data subject-matter expert for the Fraud Prevention team, converting business requirements into queries, analyses, metrics, and monitoring solutions.

• Ensure the integrity, consistency, and dependability of data utilized in risk analyses, monitoring, and reporting.

• Create, maintain, and improve alerts, metrics, KPIs, dashboards, and risk monitoring panels, identifying trends, patterns, and areas for enhancement.

• Evaluate monitoring outcomes and suggest recommendations aimed at minimizing losses, managing false positives, and boosting operational efficiency.

• Assist with backlog prioritization for data-driven initiatives with leadership, taking into account business impact, urgency, operational capacity, and request volume.

• Spearhead strategic data initiatives concerning Fraud Prevention, overseeing scope, deliverables, dependencies, and outcomes.

• Evaluate and recommend new metrics, data sources, and monitoring solutions, assessing quality, feasibility, cost, and incremental value.

• Collaborate with Product, Data Engineering, Credit, Technology, and other internal teams to implement and refine data solutions.

• Manage relationships with external technology vendors and partners as applicable.

• Represent the data function in internal forums and, when relevant, at fraud, data, and analytics events and communities.

⛳️ Requirements

• Bachelor's degree in Data Analysis/Science, Computer Science, Information Systems, Engineering, Physics, Mathematics, or a related discipline.

• Advanced proficiency in SQL.

• Understanding of statistics as applied to data analysis, including distributions, hypothesis testing, and anomaly detection.

• Professional experience with BI and data tools (such as Databricks, Metabase, Power BI, etc.), utilizing them to create reports and dashboards.

• Experience with fraud prevention metrics and KPIs.

• Proven experience analyzing transactional data to identify suspicious activities.

• Experience in developing descriptive, exploratory, and diagnostic analyses.

• Background in fintechs, the payments industry, or other financial institutions, especially within fraud prevention teams.

• Preferred: experience interpreting outputs from rules engines and/or risk-scoring tools.

• Preferred: experience in implementing and/or maintaining data catalogs using data modeling techniques.

• Preferred: familiarity with storytelling concepts.

• Preferred: experience with Python.

• Preferred: experience with agile methodologies.

🏝️ Benefits

• Medical and dental insurance with no copay.

• Life insurance.

• Prescription medication allowance.

• Fitness allowance.

• Four complimentary monthly therapy or nutritionist sessions through Zenklub.

• On-site quick massage services.

• Flexible meal allowance provided on a Visa card.

• Complimentary food available at the office.

• Childcare allowance.

• Parental support program.

• Extended maternity and paternity leave.

• Access to an in-house training platform.

• Education allowance covering 70% of undergraduate tuition and language courses, in addition to courses and books.

• Home office allowance.

• Provision of work equipment.

• Furniture allowance.

• Partnership with WOBA for access to coworking spaces across Brazil.

• Day off during the birthday month.

• Happy hour allowance.

• Referral bonus for recommending new employees.

• Annual performance-based bonus.

• Stock option plan.

• No dress code policy.