Partner cross-functionally with key stakeholders to identify operational pain points, align on business logic and metric definitions, and drive targeted outcomes.
Bachelor’s degree or above in Business, Finance, Economics, Engineering, Analytics, or a related quantitative field.
Minimum 2 years of relevant professional experience, in analytics, business intelligence, or data-driven operational roles, is preferred.
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Conduct data analysis on risk exposure and profitability to identify opportunities for product and strategy improvement. Provide credit risk insights and recommendations to internal teams and stakeholders.
Assess business operations and market trends to enhance competitive positioning.
Collaborate with Data Science, Business Development, and Product teams to launch new initiatives and grow the business while controlling risk
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Cross-Functional Collaboration: Partner closely with Marketing, Product, Commercial Merchants, and Data Science teams to build scalable, automated features (e.g., advanced device fingerprinting, KYC triggers) that minimize promo leakage.
Incident Response & Post-Mortem: Lead investigations into sudden budget drains or coordinated exploit incidents. Conduct root-cause analyses and implement immediate mitigation strategies to prevent recurrence.
Reporting & Metrics Tracking: Define and track key performance indicators (KPIs) for promo abuse, such as Fraud ROI, False Positive Rates, and total prevented loss, presenting insights regularly to senior leadership.
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Lead ad-hoc deep-dives to answer emerging questions from Risk and business stakeholders
Develop segmentation and treatment strategies for Consumer and SME loan portfolios across the full recovery spectrum — from early-stage outreach to field visits, legal action, and outsourced partners
Support debt resolution programs, including structuring restructuring and settlement options for customers
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