Senior Analytics Consultant
On-siteMakati City, Metro Manila, Philippines
Job Summary
Lead the design, delivery, and evolution of front-line monitoring analytics to detect conduct, operational, and compliance risks using Python, SQL, SAS, and agentic AI workflows. Own end-to-end risk monitoring solutions that identify trends, anomalies, and outliers while driving improvements in coverage, consistency, and timeliness. Perform moderately complex data analysis to extract insights from unstructured data, oversee data preparation and feature engineering, and ensure all outputs remain explainable and audit-ready. Lead complex analytical solutioning, guide junior consultants, and set standards for SAS-to-Python migration and GCP-based analytics environments. Collaborate with cross-functional teams to resolve issues and support the 2026 mandate for Risk Clarity and Operational Excellence through AI-powered modernization.
Required Qualifications
- 4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Applicants must be amenable to work onsite
- Applicants must be amenable to work on mid shift and night shift
- Lead the design, delivery, and evolution of front-line monitoring analytics to detect conduct, operational, and compliance risks across BOS
- The role will own end-to-end risk monitoring solutions that identify trends, anomalies, and outliers, driving improvements in monitoring coverage, consistency, scalability, and timeliness
- The individual will lead complex analytical solutioning using Python, SQL, and SAS, overseeing data preparation, metric and feature design, anomaly detection frameworks, and visualization outputs
- The role will provide technical leadership across multiple monitoring initiatives, ensure analytical rigor, and guide effective escalation and risk insights
- The role will play a key leadership position in BOS analytics modernization, including SAS-to-Python migration, adoption of GCP-based analytics environments, and automation of monitoring workflows
- In addition to hands-on contribution where needed, the role will set analytics standards, drive documentation and reusability, review peer work, and mentor junior consultants
- Exposure to agentic AI, LLM-enabled analytics, and advanced modeling approaches is strongly preferred
Desired Qualifications
- Advanced hands-on expertise in Python for analytics, anomaly detection, and scalable monitoring solutions
- Practical exposure to agentic AI and LLM usage for analytics acceleration or automation
- Experience working in GCP or cloud-based analytics platforms
- Strong SQL skills with experience handling large, complex datasets
- Solid working knowledge of SAS within risk monitoring or regulatory environments
- Strong experience designing and reviewing visualizations in Power BI, Tableau, and Python
- Proven ability to lead end-to-end analytical solution design and guide junior team members
- Strong understanding of data modeling, feature engineering, and analytics architecture
- Prior experience driving analytics standardization or modernization initiatives
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