Risk Analytics Manager
Job Location:
Makati City - Philippines
Monthly Salary:
Posted on:
Vacancies:
Job Summary
We are seeking a Manager in Risk Analytics with a specialized focus on Collections and Recovery. The successful candidate will lead efforts to develop implement and optimize analytical models and strategies that enhance collection efficiency recovery rates and overall credit risk mitigation. This role involves working closely with collections and recovery teams to provide insights that drive strategic decisions increase automation and improve portfolio performance.
Key Responsibilities:
Insight Generation: Analyze customer data underlying assets and payment histories to identify trends and opportunities in collections and recovery.
Reporting and Visualization: Develop and enhance dashboards reports and visualizations that effectively communicate risk data and insights to stakeholders. Monitor performance metrics related to collections and recoveries and provide actionable insights and reports to management.
Collection & Recovery Strategy: Develop strategies to optimize collection processes reduce delinquencies and maximize recoveries.
Automation: Collaborate with collections recovery and payment teams to enhance existing workflows through data-driven solutions.
Supporting Leadership: Assist the Head of Risk in preparing risk packs and reports for Risk Committee meetings and other executive forums.
Must Have:
5 years experience in analytics or risk management.
Expertise in data analytics and data visualization tools (e.g. Tableau Power BI) and SQL.
Experience in risk management frameworks and practices is a plus.
Experience in Data Science/ ML modelling is a plus.
Required Skills:
Must-Have Skills (Core Requirements) AI & Automation: Advanced daily use of AI tools (Claude Perplexity ChatGPT etc.) and strong prompt engineering skills. ABM Platforms: Hands-on experience with Marketo (or equivalent MAP) and CRM sequencing tools like D365 Marketing. Sourcing Tools: Proficiency with contact sourcing tools such as or equivalent. B2B Strategy: Strong understanding of ABM strategies (1:1 1:few 1:many) and long-cycle B2B sales cycles. Experience: 2 years in B2B marketing demand generation SDR or account research. Non-Negotiables Technology Stack: Proficiency in Microsoft 365 (Teams Outlook SharePoint Excel Power BI) is required; candidates without this experience will not be considered. AI Fluency: Must demonstrate hands-on professional AI usage (not theoretical) and reach Claude AI automation capability within 60 days. Active AI Use: Must actively use the specified AI stack (Claude ChatGPT Copilot Gemini NotebookLM Perplexity). Availability: Must be able to meet either the full US hours or the mandatory 8:00am10:00am PST overlap Nice to Have Intent Data Tools: Experience with 6Sense Demandbase or Bombora. Advanced Automation: Experience with Clay Apollo Power Automate or Python. Industry Experience: Exposure to the utilities or energy industry. Background: Previous experience as an SDR or in a sales-focused role.
