ASAAS

Customer Support

• Lead and monitor the daily routine of the N1 support team, ensuring continuous team development, high performance, and alignment with Asaas guidelines
• Analyze operational and quality metrics in Zendesk to identify the root causes of failures and bottlenecks
• Execute the R3G results-governance cycle as part of the cell’s weekly management routine
• Apply structured root-cause analysis to deviations and lead action plans with an owner, deadline, target, and closed-loop follow-up
• Map contact patterns and containment opportunities, transferring repetitive transactional work to the partner area
• Ensure deviations are closed-loop, tracking the results of decisions and actions taken
• Audit customer interactions through Zendesk to calibrate processes and behavior and raise quality standards
• Build objective action plans with owners, deadlines, and targets for deviations identified in operations
• Work in partnership with CX and Product teams
• Support operations in resolving and escalating complex cases, promoting analyst autonomy

Customer Experience Team Lead

General

• Lead and mentor a team of multidisciplinary analysts by structuring routines, fostering a culture of efficiency, and promoting the individual and technical development of team members
• Lead and conduct ongoing diagnostics to contain attacks, identify operational vulnerabilities, and propose targeted improvements and workflow automations to reduce the chargeback rate
• Perform critical analysis, validation, and recommendations regarding fraud rules in fraud engines for payment and card products
• Define and implement fraud prevention strategies for customer onboarding and financial transactions
• Conduct data exploration using SQL and Databricks to support hypotheses and design pragmatic solutions
• Define and own strategic fraud KPIs, including confirmed fraud rate, chargeback rate, and avoided loss
• Report performance and risks to the Executive Board and Risk Committee
• Collaborate with Product and Business teams to align on the impacts of rules and communicate the trade-offs of fraud-related decisions
• Evaluate new technologies and providers of antifraud solutions, leading proofs of concept and implementations of new solutions and methodologies

Fraud Prevention Strategy Coordinator

Security Engineer

• Lead the full cycle of information security risk identification, analysis, assessment, and treatment based on ISO/IEC 27005
• Apply and evolve the organization’s risk methodology, including qualitative matrices and quantitative models where applicable
• Define and track risk treatment plans through closure or formal acceptance
• Maintain and test the information security controls framework, assessing effectiveness, exceptions, and corrective action plans
• Conduct maturity assessments and gap analyses based on ISO/IEC 27001/27002, NIST CSF, and CIS Controls
• Conduct vendor and third-party risk assessments (TPRM)
• Structure and maintain KRIs/KPIs and produce technical and executive reports
• Serve as a technical advisor to Product, Engineering, Cloud, Compliance, and Legal teams
• Support formal risk acceptance and exception management processes through documentation, governance, and periodic reviews

Senior Information Security Risk and Controls Analyst

Product Marketing

• Lead the CRM and Product Marketing strategy, focusing on Asaas’s customer base
• Own the integrated view of the customer journey: activation, usage, expansion, and retention
• Lead product distribution to the customer base, presenting the right product to the right customer at the right time and through the right channel
• Analyze behavior, usage, engagement, product interactions, and relationship history to inform decision-making
• Define, test, and evolve the Next Best Offer (NBO) logic
• Own integrations and new distribution channels
• Identify bottlenecks, opportunities, and friction points throughout the customer lifecycle
• Accelerate onboarding and reduce the time to value for new products
• Structure and scale CRM and Lifecycle Marketing, including segmentation, automation, personalized journeys, and contextual communications
• Develop and track cross-sell, upsell, activation, adoption, and retention initiatives with Sales and Customer Success
• Define, monitor, and improve metrics such as cohorts, activation, adoption, product penetration, expansion, churn, retention, LTV, and incremental revenue
• Work with Product, Marketing, Sales, Customer Success, Data, and Engineering to create scalable experiences and initiatives
• Consolidate results, learnings, and recommendations for leadership
• Maximize the value generated by every customer in the Asaas customer base

CRM and Product Marketing Manager

Strategy

• Develop, implement, and manage fraud prevention strategies, policies, procedures, and controls, with a focus on the Card product (Issuer)
• Conduct transaction behavior studies, fraud pattern investigations, and predictive analyses using advanced SQL directly in Databricks
• Work with large volumes of data
• Identify vulnerabilities in the card business area, build the delivery backlog, and propose solutions
• Continuously monitor the fraud landscape and emerging risks
• Evaluate metrics, trends, and the results of implemented rules, adjusting fraud prevention strategies and mechanisms
• Develop and track the area’s KPIs/KRIs, turning data into strategic insights
• Communicate fraud prevention processes, policies, and procedures to relevant teams
• Lead strategic fraud prevention projects from conception through results tracking
• Evaluate and recommend new technologies and tools
• Maintain strategic relationships with internal teams and external partners, including financial institutions, regulatory bodies, and technology providers
• Represent the area in internal and external forums, presenting results, insights, and the fraud prevention strategy

Senior Fraud Prevention Strategy Analyst – Card Focus

Analyst

• Provide technical support for building Fixed Income product workflows and their operationalization and integration with financial market infrastructures
• Structure operational processes and controls for Fixed Income products, primarily CDBs, RDBs, LFs, and government bonds
• Register, control, and monitor the settlement of Fixed Income instruments with the B3-Cetip, Selic, and Nuclea registries and clearinghouses
• Ensure the daily calculation of accruals (interest recognition) for assets and liabilities
• Ensure that internal systems accurately reflect the agreed terms and conditions
• Structure and perform reconciliations among internal systems, counterparties, and clearinghouse statements, resolving discrepancies
• Ensure compliance with Central Bank/CMN regulations, National Treasury rules, and clearinghouse manuals, mitigating operational risks
• Collaborate with the Trading Desk, ALM, Compliance, and Accounting teams to ensure efficient information flows and Fixed Income processes
• Prepare regular reports on the Fixed Income portfolio, including performance, risk, and compliance analyses

Senior Treasury Analyst – Fixed Income Back Office

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Senior Full Stack Software Engineer

• Translate business logic into high-quality code, following established standards and practices
• Participate in defining and implementing new features and fixing bugs
• Understand and discuss proposed problems and solutions, seeking the best technical solution
• Review code delivered by team members
• Break large deliverables into small, cohesive increments
• Monitor solutions deployed to production, assessing errors, performance, and availability
• Collaborate on improvements or new standards for the Engineering knowledge base

Mid-Level Full Stack Software Engineer

Security Operations

• Monitor, triage, and enrich low-, medium-, and high-complexity security alerts generated by the SIEM
• Analyze logs from ZTNA, EDR/XDR, cloud environments, databases, DLP, WAF, and CSPM
• Conduct detailed analyses of security alerts and events, correlating multiple indicators before concluding investigations
• Investigate and respond to cyber incidents, proposing corrective and preventive actions
• Manage ticket workflows, ensuring proper logging, tracking, and escalation when necessary
• Develop, review, and improve playbooks, runbooks, and standard operating procedures (SOPs)
• Provide structured feedback to Detection Engineering on required use cases and rule tuning
• Identify monitoring gaps and propose new SIEM use cases based on MITRE ATT&CK, relevant TTPs, critical assets, and emerging threats
• Contribute to Cyber Threat Intelligence (CTI) and Threat Hunting activities
• Drive continuous SOC improvement through automation and process optimization
• Produce technical and management reports on security status and handled incidents
• Support compliance with PCI DSS, ISO 27001, Brazil’s LGPD, and BACEN regulations
• Support internal audits by providing evidence and technical documentation

Mid-Level SOC Analyst – Evening Shift

• Review analyses conducted by the Financial Crime Prevention and Know Your Customer (KYC) teams, verifying adherence to processes, quality standards, and regulatory requirements
• Prepare and record evaluations in the system, building a performance history for the teams and supporting leadership decision-making
• Identify opportunities for improvement, propose solutions, and support their implementation
• Regularly report indicators, insights into analysis quality, and opportunities to improve processes to stakeholders
• Deliver clear, objective, and constructive feedback to support the teams’ ongoing development
• Meet evaluation targets while ensuring the quality and timeliness of deliverables
• Support strategic Continuous Improvement projects focused on advancing fraud prevention processes
• Act in accordance with ethical, legal, and regulatory principles, ensuring the confidentiality of information

Continuous Improvement Analyst – Junior

Analytics Engineer

• Build and optimize analytical and dimensional data models using dbt/SQL, following development best practices and governance standards
• Ensure data governance, quality, documentation, automated testing, scalability, and business impact
• Participate in discussions with business teams to understand requirements and business rules
• Work closely with software engineers to understand the structure, refresh frequency, limitations, business context, and technical characteristics of data sources
• Implement data quality tests and monitor pipelines to ensure data availability, performance, and integrity across the domain
• Actively participate in code reviews and help promote engineering best practices across the data team
• Support the data team in understanding the data platform and applying best practices
• Contribute to the development of Asaas's data platform