Sr. Specialist FinTech - Payment Acceptance

The fintech payments landscape at talabat is complex: high transaction volumes, multiple acquiring partners, evolving scheme rules, and an internal product roadmap that doesn't always behave as documented. We are looking for a rigorous, detail-obsessed operator who doesn't take things at face value. When a provider says an issue is resolved, this person goes and confirms it. When a metric moves, they trace it to its root cause. When a product launches a fix, they validate the data before declaring success. This role sits at the intersection of payment performance, commercial analysis, and operational accountability, requiring someone who can work independently, challenge assumptions confidently, and translate deep analytical findings into clear recommendations for senior leadership and external partners.

Responsibilities

Own payment performance analytics end-to-end, independently diagnosing root causes behind acceptance rate shifts, acquirer-level anomalies, and CPO movements without relying solely on provider or product-supplied explanations; Validate claims from payment providers, product teams, and processing partners through independent data analysis; Lead deep-dive investigations into payment performance issues and operational gaps, structuring findings clearly for senior director audiences and driving resolution through cross-functional teams; Drive the end-to-end execution of projects, from evaluating feasibility and commercial viability to supporting rollout in partnership with cross-functional teams; Evaluate internal and external opportunities aligned with the fintech strategy, and project manage their execution

Requirements

3+ years of experience in Strategy or Operations roles within a tech, e-commerce, or fintech organization; Prior exposure to fintech is a requirement; Deep working knowledge of the payments ecosystem, including acquirer processing, issuer decline logic, 3DS authentication flows, scheme rules, and settlement mechanics, sufficient to independently interrogate provider data and identify discrepancies; Proficiency in data analysis tools (SQL and/or Excel/Sheets at advanced level, or BI platforms) with the ability to independently build analyses, reconcile datasets, and surface insights; Strong solution orientation with a high sense of ownership, accountability, and urgency; Collaborative and adaptable, with experience working cross-functionally across product, legal, marketing, fraud, and business operations teams; Ability to lead through influence without direct authority; Naturally skeptical and intellectually rigorous, with the instinct to question assumptions, trace anomalies to their source, and validate conclusions through data; Ability to break down large, complex challenges into structured, executable action plans