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Your mission
We’re looking for a Counter-Intelligence Analyst to support our research and development efforts related to payment fraud. Your work will play a key role in protecting everyday people and financial institutions from financial crime.
Your role
In this role, you will gather key identifiers related to financial crime through a range of digital techniques, with heavy use of social media and telecom channels, as well as reverse engineering the activities of fraudsters to uncover their methods and infrastructure. This position favours a detail-oriented and analytical individual with an interest in financial crime compliance or the finance industry more broadly.
Your Main Responsibilities
Onsite in Tallinn, Estonia
Your profile
A curious, detail-driven individual with strong analytical instincts and a reliable work ethic. Perfect for someone starting a career in fraud prevention, fintech, cybersecurity, or compliance.
About Us
Our mission is to beat financial crime, and we help our clients to prevent money laundering, terrorist financing, and fraud. We are expanding our business in Europe.
We’re looking for a Counter-Intelligence Analyst to support our research and development efforts related to payment fraud. Your work will play a key role in protecting everyday people and financial institutions from financial crime.
Your role
In this role, you will gather key identifiers related to financial crime through a range of digital techniques, with heavy use of social media and telecom channels, as well as reverse engineering the activities of fraudsters to uncover their methods and infrastructure. This position favours a detail-oriented and analytical individual with an interest in financial crime compliance or the finance industry more broadly.
Your Main Responsibilities
- Conduct structured digital research and engagements to collect data
- Monitor behavioral patterns and identify signals linked to suspicious financial activity
- Apply iterative logic and critical thinking to optimize data gathering techniques
- Document and categorize findings for analysis and operational use
- Engage discreetly within online environments, following structured research protocols
- Recognize when to disengage based on risk signals or escalation thresholds
- Support internal teams in translating field data into actionable fraud intelligence
Onsite in Tallinn, Estonia
Your profile
- Strong analytical thinking and structured problem-solving skills
- Excellent written communication, especially in crafting engagement messages and recording findings
- Attention to detail in recognizing patterns, inconsistencies, and anomalies
- Ability to follow predefined workflows with discipline and consistency
- Comfortable operating in online forums, platforms, or messaging environments
- Strong teamwork and collaboration skills to work effectively with fraud, R&D, and intelligence teams
- White hat hacker mentality, driven to understand and dismantle criminal techniques ethically
- Previous experience in data analysis, fraud investigation, or OSINT research
- Understanding of digital and international payment systems (IBANs, wallets, bank transfers)
- Exposure to R&D, cybersecurity, or financial crime projects
- Familiarity with compliance principles, AML frameworks, and banking secrecy regulations
A curious, detail-driven individual with strong analytical instincts and a reliable work ethic. Perfect for someone starting a career in fraud prevention, fintech, cybersecurity, or compliance.
About Us
Our mission is to beat financial crime, and we help our clients to prevent money laundering, terrorist financing, and fraud. We are expanding our business in Europe.
Key Skills
Ranked by relevance
cybersecurity
reverse engineering
data analysis
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- Posted
- Aug 14, 2025
- Type
- Part-time
- Level
- Entry
- Location
- Tallinn
- Company
- Salv
Industries
Software Development
Categories
Science
Research
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3 roles aligned with this opportunity
View Job Details
Related
Product Analyst
2026-05-23
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Not Applicable
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Research
View Job Details
Related
Postdoctoral Associate in Data Analysis
2026-05-20
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View Job Details
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Cybersecurity Engineer
2026-05-26
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