Head of Portfolio Management

2 - 5 years

19.0 - 23.0 Lacs P.A.

Bengaluru

Posted:2 months ago| Platform: Naukri logo

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Skills Required

Head Business DevelopmentAutomationBusiness Analystdata scienceCompliancePortfolio analysisDebuggingClient engagementCustomer supportPortfolio management

Work Mode

Work from Office

Job Type

Full Time

Job Description

As the Head of Portfolio Management at Skit.ai, you will own the NPA / Roll Forward rate for portfolios assigned to Skit.ai for AI/digital collection. In this role, you will define segmentation frameworks, portfolio analysis approaches, and dynamic collection campaigns to optimize recovery outcomes. This role requires a data-driven strategist who can collaborate cross-functionally with Business Analysts, Data Science, and RD teams to improve collection performance while ensuring compliance and best practices. You will build and lead a team of portfolio managers and play a key role in client engagement. Responsibilities Portfolio Strategy Execution Develop segmentation frameworks to categorize accounts by risk, debt type, and customer behavior. Define and refine the Portfolio Analysis framework to identify customer types across new and existing cycles. Design and implement dynamic collection campaigns, ensuring each cohort is aligned with the most effective strategies. Establish a Debugging Playbook to diagnose performance drops in portfolio allocations/cycles. Define a framework to identify problematic accounts with low/no recovery potential and adjust strategies accordingly. Optimization Experimentation Suggest and execute A/B experiments to enhance key KPIs and outcome metrics. Recommend and review content templates for effective engagement in collection strategies. Continuously learn and share best practices/insights with client leadership based on observed success patterns. Provide legal/regulatory feasibility assessments for proposed collection strategies. Collaboration Leadership Build and lead a team of portfolio managers focused on reducing NPA and roll-forward rates through AI-driven collections. Work closely with Business Analysts and Data Science teams to define problem statements and optimize recovery models. Collaborate with RD stakeholders to influence the product roadmap for enhancing collection performance and automation.

Artificial Intelligence, Voice Technology
Milpitas

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