
Tamara
Product Manager II (Credit Scoring Platform)
- Permanent
- Dubai, United Arab Emirates
- Experience 5 - 10 yrs
Job expiry date: 10/11/2025
Job overview
Date posted
26/09/2025
Location
Dubai, United Arab Emirates
Salary
AED 20,000 - 30,000 per month
Compensation
Comprehensive package
Experience
5 - 10 yrs
Seniority
Manager
Qualification
Bachelors degree
Expiration date
10/11/2025
Job description
Tamara seeks a Product Manager II to own the end-to-end product lifecycle of its in-house Credit Scoring Platformâa self-service solution enabling analysts and developers across risk and product teams to make data-driven credit decisions for a leading GCC fintech. The mandate spans defining a product vision and quarterly OKRs, architecting and scaling modern services to productise credit scoring, and integrating alternate data sources to enrich demographics, income, and expense data for improved credit, fraud, and collections scoring efficiency. The role partners deeply with data scientists to integrate new risk models via a unified model integration gateway, support data discovery and enrichment workflows, and enable rapid model testing and iteration aligned to evolving risk strategies, MLOps practices, and model lifecycle management. Responsibilities include discovering and owning integrations for external and internal data pipelines, simplifying and supplying risk-based customer segments per model to fuel targeted GTM, and instrumenting platform usage and performance metrics to drive adoption and value. The position requires fluency in credit decisioning processes, decisioning platforms, segmentation, API-based service development, and analytics-driven prioritization to deliver a flexible, experiment-friendly, scalable platform that advances business performance across Tamaraâs app.
Required skills
Key responsibilities
- Define and own the product vision and quarterly OKRs for the in-house Credit Scoring Platform, ensuring alignment with risk and product strategy
- Productise credit scoring by building services that help users understand internal and external debt and enable gamification within the Tamara app
- Discover, integrate, and maintain new and existing alternate data sources to enrich demographics, income, and expense datasets for improved credit and fraud scoring efficiency
- Liaise with data science to integrate new fraud, credit, and collections models and unify the model integration gateway for cross-team score consumption
- Own, simplify, define, and supply risk-based customer segments per model to enable consumer teams to design targeted GTM initiatives
- Drive adoption by instrumenting platform usage and performance metrics, analyzing outcomes, and iterating based on user feedback and business needs
- Support data discovery, enrichment, and model testing workflows to accelerate experimentation and iteration while maintaining scalability
- Prioritize a roadmap that balances short-term business impact with long-term platform scalability and reliability across data and risk domains
Experience & skills
- Demonstrate 6+ years of product management experience with exposure to internal platforms, data tools, or credit/risk domains
- Show strong capability in problem identification, solution framing, prioritization, and cross-functional execution using defined OKRs
- Exhibit proven experience working closely with risk, analytics, or data science teams on credit decisioning and scoring impacts to business performance
- Demonstrate understanding of credit decisioning processes, decisioning platforms, and risk-driven segmentation for targeted GTM
- Be comfortable defining and tracking platform usage and performance metrics to drive adoption and continuous improvement
- Bring experience supporting data discovery, model testing, enrichment workflows, and familiarity with model lifecycle management or MLOps workflows
- Ability to manage stakeholder expectations and balance short-term needs with long-term scalability in a platform context
- Familiarity with credit scoring, risk modeling, fraud modeling, and collections modeling in a high-growth fintech environment