Our client, a global payment consulting firm, is supporting a leading financial services institution in Sri Lanka on a large-scale analytics transformation initiative. The project aims to enhance portfolio performance and drive card spend growth through advanced data science–led insights.

To enable this, the client is looking to onboard a Portfolio Analytics Consultant with a strong background in data science and analytics within the BFSI or credit cards domain. The expert will play a key role in developing and deploying models for cross-sell, upsell, and customer activation while working closely with senior stakeholders and analytics teams on-site in Colombo.

Key Responsibilities:

• Lead the design and implementation of data science models focused on cross-sell, upsell, and portfolio growth (e.g., XGBoost, segmentation models).
• Analyze and optimize portfolio spending patterns to identify customer segments, merchant opportunities, and campaign recommendations.
• Drive card activation initiatives to improve spend and engagement metrics.
• Collaborate cross-functionally with internal teams including Product, Operations, and Portfolio Management.
• Present analytical findings, model performance, and recommendations to senior management.
• Oversee project documentation, pipeline planning, and execution tracking.

Your Background:

• 7+ years of total experience in Data Science/Analytics, with at least 3 years in portfolio or cross-sell analytics.
• Strong experience in BFSI or credit card analytics is mandatory.
• Proficiency in Python/SAS, SQL, and model development frameworks (e.g., regression, XGBoost, clustering).
• Excellent stakeholder management and presentation skills.
• Experience working in fast-paced, global or regional analytics teams is preferred.
• Advanced degree in Statistics, Economics, Mathematics, Engineering, or a related field is desirable.

Other Information:

• Location: Colombo, Sri Lanka (on-site)
• Duration: 18 months (contractual role)
• Engagement: Full-time, working as part of the client’s analytics team
• Compensation: Competitive, based on experience and suitability