Analista de Estratégia de Prevenção a Fraudes Sênior (Foco KYC/Onboarding)
Quick Summary
This position is listed on behalf of a partner company, who manages all applications and next steps.
This role sits at the intersection of fraud prevention, data strategy, and customer onboarding, with a strong focus on KYC and account opening. You will lead the development and optimization of antifraud strategies that protect the onboarding journey while balancing security, conversion, and customer experience. The position involves investigating fraud patterns, developing predictive analyses, and transforming data into actionable insights. You will also lead strategic fraud-prevention initiatives and collaborate closely with Product, Data, Compliance, Technology, and external solution providers. The role offers significant autonomy and the opportunity to evaluate new identity-verification technologies and improve risk controls. You will contribute directly to strengthening the organization’s approach to emerging fraud risks in a dynamic and collaborative environment.
In this role, you will lead strategic fraud-prevention initiatives focused on onboarding, KYC, and customer registration, combining data analysis, risk management, and cross-functional collaboration.
- Develop, implement, manage, and continuously optimize fraud-prevention strategies, rules, and controls for registration, onboarding, and KYC.
- Conduct predictive analyses and investigate fraud patterns involving identity fraud, fraudulent documentation, mule accounts, ghost accounts, and accounts associated with money laundering.
- Monitor emerging fraud scenarios across the onboarding funnel, evaluating approval and rejection rates and the effectiveness of implemented rules.
- Develop and track key performance indicators, including confirmed registration fraud, false positives, automatic approval rates, and recurrence.
- Translate large-scale data into strategic insights and recommendations to support business and risk decisions.
- Create and optimize antifraud strategies directly within KYC and onboarding solutions, balancing risk reduction with customer experience, friction, and conversion.
- Lead strategic fraud-prevention projects from initial concept through implementation, monitoring, and results analysis.
- Evaluate and recommend new identity-verification technologies, including facial biometrics, liveness detection, document validation, and data bureaus.
- Build strong working relationships with Product, Data, Compliance, Technology, and external KYC, biometrics, and data-provider partners.
- Communicate fraud-prevention processes, controls, results, and strategic recommendations clearly in internal forums and to relevant stakeholders.
Requirements
~2 min readThe ideal candidate combines advanced analytical capabilities with strong fraud-prevention expertise, particularly in customer onboarding and KYC environments.
- Bachelor’s degree in Administration, Law, Accounting, Engineering, Mathematics, or a related field.
- Experience working in fraud-prevention strategy teams, including the creation and optimization of antifraud rules and models.
- Strong knowledge of fraud-prevention strategies for account opening and KYC, including mule accounts, document fraud, identity fraud, and accounts used for money laundering.
- Experience in registration or onboarding fraud prevention, preferably within financial institutions, fintechs, or payment companies.
- Advanced SQL skills, including complex queries and CTEs, for extracting, manipulating, and analyzing large datasets.
- Experience with BI and data tools such as Databricks or similar platforms for dashboards, analytical reports, and strategic views.
- Advanced analytical skills, with the ability to identify patterns, trends, and anomalies and conduct strategic studies and scenario simulations.
- Experience with KYC solutions, facial biometrics, liveness detection, and document validation is a plus.
- Knowledge of regulatory requirements applicable to onboarding and Brazilian Central Bank regulations is desirable.
- Experience implementing or conducting proof-of-concepts for antifraud solutions, including collaboration with vendors and technical teams, is desirable.
- Knowledge of Python or other programming languages for data analysis is a plus.
- Intermediate English for communication with external providers is desirable.
- Strong autonomy, proactivity, collaboration, strategic thinking, and communication skills.
What We Offer
~2 min readLocation & Eligibility
Listing Details
- Posted
- October 2, 2026
- First seen
- October 2, 2026
- Last seen
- October 2, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 68%
- Scored at
- October 2, 2026
Signal breakdown
Similar Analista jobs
View all →Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.