Associate Threat Analyst
Summary
Associate Threat Analyst at BioCatch, a behavioral-biometrics fraud prevention provider for banks. Day to day: design and tune real-time fraud detection rules, analyze transactional data with SQL/Python, research emerging fraud typologies (ATO, scams, mule accounts), and advise banking customers from fraud investigators to executives. On-site in Santiago, Chile.
BioCatch is the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online user’s physical and cognitive digital behavior to protect individuals online. BioCatch’s mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust and ease seamlessly co-exist. Today, BioCatch counts over 35 of the top 100 global banks as customers who use BioCatch solutions to fight fraud, drive digital transformation, and accelerate business growth. BioCatch’s Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps BioCatch to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, BioCatch continues to innovate to solve tomorrow’s problems. For more information, please visit www.biocatch.com.
This is a consultancy-style role blending advanced analytics, strategic fraud advisory, and cross-level communication (from C-suite to operational fraud investigators). You'll work autonomously as part of a globally distributed Threat Analyst network.
Key Responsibilities
Fraud Analysis & Detection
Design, test, implement, and optimize real-time tactical rules and controls to promptly detect and mitigate fraud attacks and emerging typologies.
Threat Research & New Typologies
Analyze emerging patterns and behaviors alongside Data Science and the customer's specialized teams, covering Account Takeover (ATO), fraudulent account openings, Remote Access Trojans/Tools (RAT), social engineering, digital scams, and mule account detection.
Analytics & Control Optimization
Analyze transactional data and customer behavior to identify risk patterns and control gaps. Propose adjustments that increase detection capability, reduce losses, and optimize false positives — using a data-driven approach to prove BioCatch's value against success criteria in proof-of-value and pilot projects.
Specialized Advisory & Knowledge Transfer
Provide SME advisory to maximize customer value from BioCatch solutions. Transfer knowledge to internal teams, educate new/potential customers on Behavioral Biometrics, and communicate findings and recommendations to both technical and executive audiences.
Customer & Field Engagement
Maintain strong relationships across the customer's fraud-fighting functions. Work tactically to deploy rules for acute fraud attacks. Share field learnings with Sales Enablement and act as a voice of the customer back to BioCatch product/Data Science teams.
Reporting & Thought Leadership
Deliver reporting and insights on fraud detection performance. Strive to be a thought leader in the fraud prevention space, supporting BioCatch Sales in new customer acquisition.
Requirements
Required Experience & Skills
- At least 3 years of experience in fraud analysis, threat analysis, or data analytics — preferably at financial institutions.
- Hands-on experience with fraud prevention/detection and transaction monitoring platforms or tools.
- Bachelor's/professional degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, or related field.
- Intermediate-to-advanced SQL required.
- Python, statistical modeling, advanced analytics, and anomaly detection techniques strongly valued.
- Full professional proficiency in English and Spanish; Portuguese a nice-to-have.
- Proven ability to translate complex technical analysis into actionable, executive-ready recommendations.
- Strong track record building relationships across Fraud, Technology, Data Science, Risk, and Business teams.
- Self-starter, quick learner, comfortable working autonomously with ambiguity.
Logistics
- Full-time.
- On-site presence required at the office (typically 4 days/week) - Santiago, Chile.
- Availability for occasional travel to internal meetings.
- Submit CV in English.