Business Analytics Manager at PNC managing email marketing campaigns and leading analytics initiatives. Collaborating across teams to optimize engagement and deliverability while ensuring compliance in marketing.
About the role
- Senior Data Analyst at GeoComply focusing on anti-fraud analytics and machine learning techniques. Leading complex data initiatives to enhance geolocation compliance solutions while driving significant business impact.
Responsibilities
- 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.
Requirements
- 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 (Highly Desirable)
- Proficiency with terminal commands and SSH for remote server management (Highly Desirable)
- Experience with cloud-based data platforms (AWS, Azure, GCP) and big data technologies (Highly Desirable)
- Familiarity with geolocation technologies, device fingerprinting, or network analysis concepts (Highly Desirable)
- Demonstrated ability to formulate complex business problems into analytical frameworks and deliver actionable solutions (Analytical & Strategic Skills)
- Strong product sense with ability to balance competing priorities (user experience, business risk, operational efficiency) (Analytical & Strategic Skills)
- Experience designing metrics, KPIs, and measurement frameworks for detection or risk systems (Analytical & Strategic Skills)
- Proven ability to work autonomously on ambiguous, high-impact problems with minimal supervision (Analytical & Strategic Skills)
- Track record of influencing senior stakeholders and driving organizational change through data insights (Analytical & Strategic Skills)
- Exceptional written and verbal communication skills with ability to present complex technical concepts to diverse audiences (Communication & Leadership)
- Experience mentoring analysts and contributing to team capability development (Communication & Leadership)
- Strong collaboration skills across technical and business functions (Communication & Leadership)
- Comfortable challenging assumptions and advocating for data-driven approaches (Communication & Leadership)
Benefits
- Hybrid working mode & Modern office at a prime location in District 1
- Professional development budget to support your growth
- 20 annual leave days, 5 sick leave days
- Premium health insurance (Bao Viet or Liberty)
- Social, unemployment, and health insurance contributions based on full salary
- Competitive salary package, 100% salary during the probation period
- Attractive bonuses (13th month, business performance, equity plans)
- Annual salary performance review
- Free parking
- Annual company trip & Year-end party
- Quarterly team-building activities
- In-office snacks and drinks (snacks, coffee, juice, milk, etc.)
- International working environment
Job title
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Degree requirement
Tech skills
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