Senior Fraud Prevention Strategy Analyst – Data

Job not on LinkedIn

🔥 14 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ASAAS

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2010

💼 Consulting

🏥 Healthcare

🏨 Hospitality

Consulting • Healthcare • Hospitality

ASAAS is a leading producer of 360° virtual tours in virtual reality. The company specializes in creating customized virtual tours, utilizing advanced technologies, including 360° video, drone technology, and interactive features, to enhance business visibility and engagement. With a commitment to quality and customer satisfaction, ASAAS offers immersive experiences for various industries, including schools, hotels, museums, and healthcare facilities, and aims to elevate online presence through innovative virtual solutions.

📋 Description

• Serve as the data subject-matter expert for the Fraud Prevention team, translating business needs into queries, analyses, metrics, and monitoring solutions • Ensure the quality, consistency, and reliability of data used in risk analyses, monitoring, and reporting • Develop, maintain, and enhance alerts, metrics, KPIs, dashboards, and risk monitoring panels, tracking trends, patterns, and opportunities for improvement • Analyze monitoring results and propose recommendations to reduce losses, control false positives, and improve operational efficiency • Support backlog prioritization for data-related initiatives with leadership, considering business impact, urgency, operational capacity, and request volume • Lead strategic data initiatives related to Fraud Prevention, tracking scope, deliverables, dependencies, and outcomes • Assess and recommend new metrics, data sources, and monitoring solutions, considering quality, feasibility, cost, and incremental value • Partner with Product, Data Engineering, Credit, Technology, and other internal teams to implement and enhance data solutions • Manage relationships with external technology vendors and partners, when applicable • Represent the data function in internal forums and, when applicable, 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 field • Advanced SQL proficiency • Knowledge of statistics applied to data analysis, including distributions, hypothesis testing, and anomaly detection • Professional experience with BI and data tools (Databricks, Metabase, Power BI, etc.), using them to build reports and dashboards • Experience with fraud prevention metrics and KPIs • Experience analyzing transactional data to identify suspicious behavior • Experience developing descriptive, exploratory, and diagnostic analyses • Experience working at fintechs, in the payments industry, or at other financial institutions, particularly in fraud prevention teams • Preferred: experience interpreting outputs from rules engines and/or risk-scoring tools • Preferred: experience implementing and/or maintaining data catalogs using data modeling techniques • Preferred: experience applying 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 free monthly therapy or nutritionist sessions through Zenklub • On-site quick massage • Flexible meal allowance on a Visa card • Complimentary food at the office • Childcare allowance • Parental support program • Extended maternity and paternity leave • In-house training platform • Education allowance covering 70% of undergraduate tuition and language courses, as well as courses and books • Home office allowance • Work equipment • Furniture allowance • Partnership with WOBA for access to coworking spaces throughout Brazil • Birthday-month day off • Happy hour allowance • Referral bonus for recommending new employees • Annual performance-based bonus • Stock option plan • No dress code