Analista de Estratégia de Prevenção a Fraudes Sênior - Foco Cartão (Emissor)

BrazilRemoteFull-timemid

OtherAnalista

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Overview

This position is listed on behalf of a partner company, who manages all applications and next steps.

Technical Tools

OtherAnalista

This role sits at the intersection of fraud strategy, data analytics, and payment risk, with a strong focus on the card issuer ecosystem. You will help design, implement, and continuously optimize fraud prevention strategies, rules, controls, and analytical models. Working with large volumes of transactional data, you will transform complex analyses into actionable insights that support business and risk decisions. The position offers significant autonomy to identify vulnerabilities, build priorities, and lead strategic initiatives from conception through implementation and results monitoring. You will collaborate with technical teams, business stakeholders, financial institutions, technology providers, and other external partners. The environment is agile, collaborative, and highly focused on innovation and continuous improvement. This is an opportunity to contribute directly to sophisticated fraud prevention capabilities across a large-scale payments ecosystem.

Develop, implement, and manage fraud prevention strategies, policies, procedures, rules, and controls, with a focus on card issuing and alignment with business objectives.
Conduct transactional behavior studies, investigate fraud patterns, and perform predictive analyses using advanced SQL, including complex queries and CTEs, in Databricks environments.
Identify vulnerabilities across the card business and proactively build a backlog of initiatives and solutions to address emerging risks.
Continuously monitor the fraud and risk landscape, analyzing indicators, trends, and the performance of implemented rules to refine prevention strategies and mitigation mechanisms.
Develop and track KPIs and KRIs, translating analytical findings into strategic insights that support decision-making and continuous improvement.
Communicate fraud prevention processes, policies, controls, and procedures clearly to relevant technical, operational, and business stakeholders.
Lead strategic fraud prevention projects from initial concept through implementation, performance monitoring, and optimization.
Evaluate and recommend new technologies, tools, and solutions that can improve fraud prevention effectiveness and resource efficiency.
Build and maintain strategic relationships with internal teams and external partners, including financial institutions, technology providers, and regulatory stakeholders.
Represent the fraud prevention function in internal and external forums, presenting results, insights, strategies, and recommendations.

Requirements

~2 min read

Bachelor’s degree in Business Administration, Law, Accounting, Engineering, Mathematics, or a related field.
Solid experience in fraud prevention strategy teams, including the creation, implementation, and optimization of fraud rules and models.
Strong knowledge of fraud prevention strategies within the credit and debit card ecosystem, particularly on the issuer side.
Previous experience with transactional fraud prevention, preferably within financial institutions, fintechs, acquirers, payment companies, or related environments.
Advanced SQL skills, including complex queries and CTEs, with experience extracting, manipulating, and analyzing large volumes of transactional data.
Experience with Business Intelligence tools such as Power BI, Looker, or similar platforms for dashboards, analytical reporting, and strategic data visualization.
Strong analytical thinking and the ability to turn complex data into practical recommendations and business insights.
Proactive and autonomous approach, with the ability to identify vulnerabilities, prioritize initiatives, and drive projects forward.
Strong communication and stakeholder management skills, with confidence interacting with both technical and business audiences.
Experience with solutions from payment networks, such as Visa Advanced Authorization or Decision Intelligence, is a strong advantage.
Knowledge of 3DS, tokenization, chargebacks, and payment network rules is desirable.
Experience implementing antifraud solutions and working directly with technology providers and technical teams is a plus.
Certifications or courses in Fraud Prevention, AML/CTF, authorizations, or payment network rules are advantageous.
Knowledge of Python or other programming languages for data analysis is a plus.
Intermediate English skills for communication with external technology providers are desirable.