19 melhores vagas de network security analyst (Contratando agora!)

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GSOC Watch Desk Analyst

Control Risks -
São Paulo, SP

Candidatura rápida

Detalhes da vaga

Há 5 horas

Qualificações

Ciência da Computação
Inglês
Resposta a Incidentes
Graduação
Melhoria Contínua
Scripting
DNS
Puppet
Prevenção e Detecção de Fraude
Inteligência artificial
Liderança
Python

Descrição completa da vaga

The Watch Desk Analyst (focus on Brand & Cyber) is an entry-level role within the GSOC (Global Security Operations Center) to support the Global Security Intelligence function. Its primary focus is Brand Threat Intelligence & Protection — including VIP / executive monitoring — protecting the company’s brand, customers and people from phishing, impersonation, fake apps, fraudulent ads, data-leak claims and reputational attacks. The work is OSINT-led and supported by specialist monitoring vendors that the analyst tasks and triages. The main output is fast Level 1–2 intelligence — Flash Reports and Info Reports — that drives immediate decisions and feeds the GSOC Watch Desk in real time through alert triage and escalation.

As secondary scope, the analyst keeps working-level Cyber Threat Intelligence — connecting leaked credentials, exposed data and phishing infrastructure to customer harm — plus the basics of Security Risk Intelligence when needed. It suits someone with an investigative mindset and solid OSINT/SOCMINT instincts who can separate signal from noise and communicate clearly under pressure.

Tasks and responsibilities

Brand Threat Intelligence & Protection

Continuously monitor open sources — social media, app stores, paid-ad networks, search results and domains/DNS — and triage alerts from brand-protection / monitoring vendors for abuse of the company's brand, logos, domains and products.
Detect and triage phishing sites, fake apps, fraudulent ads, impersonation profiles (including executive and customer-support impersonation), spoofed domains and counterfeit or scam campaigns targeting customers.
Work the detection queue from brand-protection vendors (e.g. AXUR): validate suspicious assets using the company's identity, decide takedown vs. legitimate, and record decisions in the tracking workflow — keeping the queue clean and critical items escalated.
Own the takedown lifecycle end to end: evidence capture, classification, submission to registrars, hosts, app stores and platforms, follow-up and confirmation — tracking time-to-takedown and recurrence.
Monitor for and assess brand-reputation threats: coordinated disinformation, smear campaigns, viral complaints with security implications, and narrative attacks against the company or its leadership.
Track fraud and social-engineering trends affecting customers (e.g. golpe do falso funcionário, Pix scams, fake support lines) and surface them to fraud, comms and product stakeholders.
Conduct VIP / executive monitoring: track exposure of executives and high-profile employees through open-source research and vendor feeds — impersonation, doxxing, leaked personal data, threats and hostile chatter — and surface protective intelligence to Executive Protection.
Maintain watchlists of malicious domains, impersonation accounts, recurring threat actors and abuse patterns targeting the brand and its executives.

Cyber Threat Intelligence — supporting literacy

Triage and act on alerts from threat-intelligence / DRP vendors covering mentions of the company, leaked credentials, exposed data and chatter targeting the company, its customers or its executives — validating, prioritising and enriching vendor findings.
Recognize common attack vectors and indicators of compromise (phishing kits, malicious domains/IPs, credential dumps, ATO and carding activity) and route them to the relevant SOC / cyber teams with enriched context.
Correlate cyber signals with brand and physical threats to surface cross-domain risk — e.g. leaked data fuelling targeted phishing, or a credential leak preceding an impersonation wave.
Maintain working fluency with the threat-intelligence lifecycle and frameworks (e.g. MITRE ATT&CK, the cyber kill chain) to engage credibly with cyber counterparts.

Monitoring, Triage & Reporting

Perform initial triage of incoming signals: assess relevance and severity, enrich with context, and route or escalate accordingly.
Keep alert queues clean and route alerts between GS Intelligence (Core) and the Watch Desk, ensuring critical occurrences reach the right stakeholders quickly.
Primary deliverable — produce Level 1–2 intelligence at speed: Flash Reports and Info Reports (plus FYIs and short-form notes) that enable rapid decision-making, with clear, actionable framing and consistent format.
Use AI-enabled workflows (LLMs and lightweight automation) to accelerate enrichment, translation, entity extraction, summarization and triage — always with prompt validation, cross-source verification and human judgment retained over the final output.
Analyse patterns across incidents to identify trends, recurring actors and systemic risks; contribute to threat profiles and scenario assessments.
Georeference incidents and threats where relevant to evaluate impact on people, operations, travel and executive movements.

Operational Support

Support crisis and incident response, and draft timely communications to stakeholders.
Respond to Requests for Information (RFIs) from security leadership, executive protection, fraud, legal, HR, comms and investigative teams.
Provide intelligence support for executive exposure, high-profile events and corporate communications with brand- or security-sensitive components.
Provide on demand coverage for Security Risk Intelligence, maintaining a working knowledge of its basics to keep the function running when needed.

Governance & Continuous Improvement

Maintain documentation hygiene and structured knowledge transfer to ensure continuity across the 12×36 shift model.
Contribute to After Action Reports (AARs) and lessons-learned following incidents or drills.
Help refine SOPs, takedown playbooks, detection rules and source coverage.

Requirements

Minimum Requirements

Bachelor's degree completed or in progress (Computer Science or International Relations, Social Sciences or related), or equivalent practical experience.
Genuine interest in security, threat intelligence, brand protection or fraud — internships, academic work, certifications or personal projects all count.
Strong research and analytical instincts: curious, detail-oriented, and able to separate relevant information from noise. A foundation in OSINT/SOCMINT tradecraft — structured research, source verification, operational-security hygiene — is a strong plus and is where stronger candidates stand out.
Demonstrated fluency in AI-enabled intelligence workflows, including the use of LLMs and automation for enrichment, translation, entity extraction, summarization and triage acceleration — applied with critical judgment, prompt validation and cross-source verification. Human judgment is retained over all intelligence outputs.
Comfort designing lightweight automations to reduce analyst toil.
Working familiarity with cyber signal recognition (threat-actor categories, attack-vector vocabulary, common IOCs) sufficient to flag and correlate across domains.
Comfortable online and quick to learn new tools and platforms; basic computer/data literacy.
Clear written communication, with the discipline to document findings consistently.
Fluency in Portuguese and good working English; Spanish a plus.
Able to stay calm and prioritise under pressure, and willing to work a 12×36 shift schedule.
Discretion handling sensitive information and a collaborative, team-first attitude.

Preferred, but not required

Advanced OSINT/SOCMINT tradecraft — sock-puppet and operational-security practices, cross-source correlation, structured analytic techniques.
A track record of building AI-assisted or automated workflows (prompt pipelines, scripts, enrichment tooling) that measurably reduced analyst toil.
Any experience with brand-protection, DRP or threat-intelligence platforms or takedown workflows.
Working knowledge of frameworks like MITRE ATT&CK or the cyber kill chain.
Familiarity with the fraud landscape facing fintech in Brazil/LatAm (Pix scams, social engineering, fake support lines).
Scripting or automation skills (e.g. Python) for collecting and enriching data.

Candidatura rápida

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