Senior Data Analyst, Anti-spoofing Operation

Lead and develop analytical initiatives to address fraud detection challenges, from problem definition through implementation, monitoring, and continuous optimization.

Spearhead strategic efforts to combat emerging fraud patterns and develop innovative detection approaches through data analysis, testing, and impact measurement.

Design and implement production-grade data pipelines, automated workflows, and advanced analytical frameworks using statistical methods, machine learning, and geospatial analysis.

Conduct in-depth analyses of complex fraud operations and develop behavioral analytics systems.

Translate technical findings into actionable recommendations for leadership, product teams, and engineering. Lead compliance analytics initiatives and define evaluation metrics for new features.

Provide technical guidance and mentorship, establish best practices, and contribute to hiring top talent in analytics.

A bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related field is required. A master's degree is strongly preferred.

Applicants should have 5-7+ years of progressive experience in data analysis and data science, particularly with expertise in fraud detection, risk management, cybersecurity, or related analytical domains.

Candidates should have a proven track record of driving business impact through advanced analytics and strategic insights.

Expert-level proficiency in SQL with a deep understanding of query optimization, complex joins, window functions, and data warehousing concepts is required.

Advanced Python programming skills with production-quality code standards, and extensive experience with data science stack (Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn) are a must.

Strong foundation in statistical analysis, hypothesis testing, experimental design, and causal inference methods is required.

Hands-on experience in building and deploying machine learning models (classification, clustering, anomaly detection, time series analysis) is essential.

Proficiency in modern data visualization and BI tools (Looker, Tableau, Power BI) with the ability to design executive-level dashboards.

Experience with version control (Git), collaborative development workflows, and analytical documentation is necessary.

Strong understanding of data architecture, ETL/ELT processes, and data modeling principles is a must.

Experience with Databricks and Spark SQL, along with proficiency in terminal commands and SSH for remote server management, is highly desirable.

Experience with cloud-based data platforms (AWS, Azure, GCP) and big data technologies is highly desirable.

Familiarity with geolocation technologies, device fingerprinting, or network analysis concepts is highly desirable.

Ability to formulate complex business problems into analytical frameworks and deliver actionable solutions is required.

A strong product sense with the ability to balance competing priorities and experience designing metrics, KPIs, and measurement frameworks for detection or risk systems is necessary.

Proven ability to work autonomously on ambiguous, high-impact problems with minimal supervision is essential.

Exceptional written and verbal communication skills with the ability to present complex technical concepts to diverse audiences is a must.

Experience in mentoring analysts, contributing to team capability development, and collaboration skills across technical and business functions is needed.

Comfortable challenging assumptions and advocating for data-driven approaches is required.

Domain expertise in regulated industries, especially online gaming, sports betting, fintech, or other high-risk/regulated industries with deep understanding of fraud patterns and compliance requirements, would be beneficial.

Specialized Fraud Knowledge in expertise is advantageous.

Advanced ML/AI experience. Familiarity with real-time systems, advanced analytics, research contributions, deep learning, and cybersecurity background is a bonus.

Learning opportunities and personal development support

Comprehensive health insurance coverage

Competitive compensation package

Lucrative bonuses including 13th month, business performance, and share appreciation rights

Annual salary performance review

Flexibility with hybrid working arrangements and contemporary office in a prime location

Annual company trip and year-end celebration

Regular team-building activities

Access to in-office snacks and beverages

International workplace atmosphere

Weekly in-office yoga classes

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666