GeoComply

Overview of job

As a Senior Data Analyst at GeoComply, you will be a strategic leader and technical expert within our anti-fraud and compliance analytics function. You will own end-to-end analytical initiatives, architect sophisticated detection methodologies, and drive significant business impact through advanced data science techniques. Working at the intersection of geolocation technology, fraud detection, and machine learning, you will design innovative solutions to combat evolving threats, mentor analysts, and directly influence product strategy. This is a high-impact role for an experienced analyst who thrives on solving complex problems in a fast-paced, high-stakes environment.

What You'll Do

• Architect & Own Strategic Solutions: Design and lead end-to-end analytical initiatives for complex fraud detection challenges, from problem definition through implementation, monitoring, and continuous optimization.
• Drive Innovation & Rule Evolution: Lead strategic initiatives to combat emerging fraud patterns and geo-blocking bypass methodologies, developing novel detection approaches through sophisticated data analysis, A/B testing, and impact measurement.
• Build Advanced Analytics Infrastructure: Design production-grade data pipelines, automated workflows, and advanced analytical frameworks using statistical methods, machine learning techniques, and geospatial analysis.
• Lead Technical Investigations: Conduct deep-dive analyses into complex fraud operations (coordinated networks, device fingerprinting evasion, behavioral manipulation) and develop sophisticated behavioral analytics systems.
• Influence Cross-Functionally: Translate complex technical findings into clear, actionable recommendations for executive leadership, product teams, and engineering. Lead compliance analytics initiatives and define evaluation metrics for new features.
• Mentor & Build Culture: Provide technical guidance and code reviews to mid-level and junior analysts, establish best practices and documentation frameworks, and contribute to hiring world-class analytics capabilities.

Our Benefits:

1. Learning opportunities & personal development allowance
2. 20 annual leave days, 5 sick leave days
3. Extensive health insurance
4. Competitive salary package, 100% salary during the probation period
5. Attractive bonuses (13th month, business performance, equity plans)
6. Annual salary performance review
7. Hybrid working mode & Modern office at a prime location in District 1
8. Free parking
9. Annual company trip & year-end party
10. Quarterly team-building activities
11. In-office snacks and drinks
12. International working environment

About GeoComply

We’re GeoComply! We are at the forefront of geolocation, cybersecurity, and anti-fraud innovation, developing and delivering cutting-edge technologies to help ensure regulatory compliance, combat bad online actors, alleviate user friction, and protect businesses from fraud.

Achieving significant business and revenue growth over the past three years and dubbed a tech “Unicorn,” GeoComply has been trusted by leading global brands and regulators for over ten years. Our compliance-grade geolocation technology solutions are installed on over 400 million devices and analyze over 12 billion transactions a year.

At the heart of it all is the people, united by a deep commitment to problem-solving and revolutionizing how people and businesses use the internet to instill confidence in every online interaction. With teams across five countries, three continents, and a global customer base, we have no plans to slow down.

Now What? Send us your resume and a cover letter. We Can’t-Wait To Meet You.

What You'll Bring

Education & Experience

• Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, or related quantitative field; Master's degree strongly preferred
• 5-7+ years of progressive experience in data analysis and data science, with demonstrated expertise in fraud detection, risk management, cybersecurity, or related analytical domains
• Proven track record of driving measurable business impact through advanced analytics and strategic insights
• Expert-level SQL proficiency with deep understanding of query optimization, complex joins, window functions, and data warehousing concepts
• Advanced Python programming with production-quality code standards; extensive experience with data science stack (Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn)
• Strong foundation in statistical analysis, hypothesis testing, experimental design, and causal inference methods
• Hands-on experience building and deploying machine learning models (classification, clustering, anomaly detection, time series analysis)
• Proficiency with modern data visualization and BI tools (Looker, Tableau, Power BI) with ability to design executive-level dashboards
• Experience with version control (Git), collaborative development workflows, and analytical documentation
• Strong understanding of data architecture, ETL/ELT processes, and data modeling principles
• Databricks experience with Spark SQL and distributed computing optimization
• Proficiency with terminal commands and SSH for remote server management
• Experience with cloud-based data platforms (AWS, Azure, GCP) and big data technologies
• Familiarity with geolocation technologies, device fingerprinting, or network analysis concepts
• Demonstrated ability to formulate complex business problems into analytical frameworks and deliver actionable solutions
• Strong product sense with ability to balance competing priorities (user experience, business risk, operational efficiency)
• Experience designing metrics, KPIs, and measurement frameworks for detection or risk systems
• Proven ability to work autonomously on ambiguous, high-impact problems with minimal supervision
• Track record of influencing senior stakeholders and driving organizational change through data insights
• Exceptional written and verbal communication skills with ability to present complex technical concepts to diverse audiences
• Experience mentoring analysts and contributing to team capability development
• Strong collaboration skills across technical and business functions
• Comfortable challenging assumptions and advocating for data-driven approaches

Bonus Points For:

• Domain Expertise: Experience in online gaming, sports betting, fintech, or other high-risk/regulated industries with deep understanding of fraud patterns and compliance requirements
• Specialized Fraud Knowledge: Expertise in spoofing detection, VPN/proxy identification, device emulation, or adversarial behavior analysis
• Advanced ML/AI: Experience with Large Language Models (LLMs) and AI-powered analytical tools; familiarity with Claude Code or similar AI-assisted development environments
• Real-Time Systems: Experience with streaming analytics and event processing systems (Kafka, Flink, real-time dashboards)
• Advanced Analytics: Knowledge of graph analytics, network analysis, or geospatial analysis (GIS) for fraud detection
• Research Contributions: Publications, conference talks, or open-source contributions in data science, ML, or fraud detection
• Deep Learning: Familiarity with deep learning frameworks (TensorFlow, PyTorch) for specialized applications
• Cybersecurity Background: Experience in threat intelligence, security operations, or adversarial machine learning