Intelligence Analyst

About the role

Become a vital member of the Alterya team, where the focus is on leveraging artificial intelligence within the fintech and threat intelligence sectors. In this position, you will be responsible for crafting and enhancing prompts for large language models to extract essential information, aiding organizations in safeguarding individuals against fraudulent activities. Your role will also involve researching and analyzing patterns of scams, allowing you to become a recognized expert in this fast-evolving field. You will investigate the latest developments in social engineering and adversarial tactics to ensure our models remain resilient against emerging threats. Furthermore, you will translate complex technical findings into clear narratives that help non-technical stakeholders understand the risks. This position requires a proactive mindset to identify gaps in data collection and improve the efficiency of automated analysis. You will work closely with engineers to optimize the prompts that drive our detection capabilities and ensure the integrity of our datasets.

Key facts

What you'll do

Investigate and analyze evolving scam patterns across various digital channels to identify new fraud methodologies and tactics.

Conduct in-depth research into social media platforms and their exploitation in fraudulent schemes to understand how attackers leverage these networks.

Query large and complex datasets using SQL to extract relevant indicators of compromise and support detailed fraud analysis.

Develop and refine prompts for large language models to improve the accuracy and reliability of automated information extraction.

Collaborate with engineering teams to integrate AI technologies into fraud detection workflows and enhance system capabilities.

Monitor and evaluate the performance of AI models in detecting sophisticated fraud attempts and provide feedback for optimization.

Maintain a comprehensive understanding of networking principles to assess how scams propagate through digital infrastructures.

Build and maintain expertise in the dark web ecosystem to identify illicit activities and emerging fraud trends.

Document findings and insights clearly to create reports that inform strategic decisions and strengthen our threat intelligence output.

Adapt quickly to new data sources and analytical tools to keep pace with the rapidly changing threat landscape.

Serve as a subject matter expert within the organization by sharing knowledge on scam patterns and prevention techniques.

Utilize Python scripting to automate data collection and processing tasks, improving the efficiency of investigative workflows.

Engage with diverse stakeholders to gather requirements and ensure that intelligence products meet operational needs.

Continuously explore additional languages to facilitate communication with international teams and broaden the scope of threat research.

Requirements

Possess a minimum of 2 years of experience in areas such as fraud prevention, threat hunting, or scam research demonstrating a proven track record in these domains.

Demonstrate a solid understanding of networking principles and how they relate to online scams and fraud to effectively trace malicious activities.

Show comprehensive knowledge of social media platforms and their role in facilitating scams, including the mechanisms used to deceive users.

Exhibit proficiency in SQL to query and manipulate large and complex datasets effectively while maintaining data integrity.

Have experience working with AI technologies and an understanding of their applications in fraud detection to leverage machine learning tools.

Show excellent command of English, both written and spoken, to communicate findings clearly and effectively to various audiences.

Display strong interpersonal skills that facilitate effective communication and collaboration within a team environment and across departments.

Prove to be a quick learner with the ability to grasp new data and systems rapidly, adapting to changes in technology and methodologies.

Understand the importance of adhering to strict quality standards when handling sensitive data and producing intelligence reports.

Be capable of working independently and managing multiple investigative priorities in a fast-paced and dynamic setting.

Nice to have

Experience with Capture The Flag (CTF) competitions, showcasing your skills in problem-solving and cybersecurity in practical scenarios.

Familiarity with the dark web and its implications for fraud and scam activities, including marketplaces and anonymous communication channels.

Additional languages spoken, which could enhance communication with diverse teams and clients and expand research capabilities.

Practical notes

At Chainalysis, the integration of AI into daily operations is a core expectation for all team members. Employees are encouraged to cultivate AI fluency, take responsibility for the outputs generated by AI systems, and maintain high standards of quality in their work. The company provides a suite of tools and workflows designed to facilitate experimentation, fostering an environment that promotes self-development and collaboration across teams. This innovative approach not only enhances individual capabilities but also drives collective progress toward combating fraud and protecting individuals in the digital landscape.

In this role, you will find yourself at the intersection of technology and security, contributing to a mission that has a significant impact on the financial safety of individuals and institutions alike. Your expertise will help shape the future of fraud prevention and threat intelligence, making this an exciting opportunity for those passionate about making a difference in the fintech space.