Tabby

Product Analyst

• Provide analytical support to product and business teams across all aspects of their work.
• Work on separate features like the in-store sellers map, customer reviews, and plenty of entity personalization tools on the Marketplace.
• Build customer segmentations on different levels and scale them as a product decision-making tool.
• Generate hypotheses, conduct research and A/B tests, and present your findings clearly and compellingly.
• Regularly work with several stakeholders, including product and merchandising teams, on fundamental research and one-time requests.
• Support and monitor existing Tabby Shop metrics, identify areas for improvement, and develop new metrics that inform decision-making across the organization.
• Develop data visualizations and reports that are informative and easily understood by business and product teams.
• Assist in the planning of necessary data structures and data quality improvements.

Senior Product Analyst, Buyer Experience

General Counsel

• Draft, review, and negotiate commercial contracts, including partnership agreements, merchant agreements, and vendor contracts
• Provide legal support to internal teams including HR (employment matters), Business Development, Marketing (partnership agreements), and Operations
• Collaborate with Risk and Collection teams to prevent disputes and manage resolution processes which includes managing all aspects of debt collections, including issuing legal notices, following up with debtors and coordinating with external parties
• Assist in the preparation and filing of legal documents related to debt collection and fraud litigation
• Research legal issues related to debt collection and fraud under UAE laws and regulations including UAE Civil Law to support legal strategies
• Oversee collections and fraud litigation matters with UAE courts and external counsel
• Assist with streamlining legal workflows and implement process improvements to enhance operational efficiency

Associate Legal Counsel

Compliance

• Support the implementation and ongoing maintenance of the regulatory compliance framework in line with CBUAE requirements applicable to B2B and B2C lending.
• Monitor compliance with relevant CBUAE regulations and standards, including but not limited to: Finance Companies Regulation, Consumer Protection Regulation and Consumer Protection Standards, SME Market Conduct Standards, Credit Risk Management Regulation and Standards, Fitness and Propriety Regulation and Standards, Outsourcing Regulation, Other applicable CBUAE circulars, notices, and supervisory guidance.
• Assist in interpreting regulatory requirements and translating them into practical policies, procedures, systems, and controls.
• Support responses to regulatory queries, supervisory reviews, and inspections.
• Support the conduct of compliance and regulatory risk assessments, including periodic and thematic assessments.
• Assist in identifying compliance risks, control gaps, and areas for improvement, and support the tracking of remediation actions.
• Contribute to the development, implementation, and enhancement of the organisation’s systems and control framework, ensuring alignment with regulatory expectations and business risk appetite.
• Perform compliance monitoring reviews across products, processes, and business units.
• Document findings clearly, assess regulatory impact, and support the development and follow-up of corrective action plans.
• Maintain compliance monitoring logs, evidence repositories, and audit-ready documentation.
• Support the preparation, coordination, and submission of regulatory reports to the CBUAE and other relevant authorities, in line with prescribed timelines and requirements.
• Assist in ensuring the accuracy, completeness, and consistency of regulatory data submitted.
• Maintain regulatory reporting calendars, trackers, and supporting documentation.
• Provide compliance input into new product approvals, product enhancements, and material business changes.
• Review product structures, customer journeys, disclosures, and contractual documentation for regulatory and consumer protection compliance.
• Support governance and approval committees by preparing compliance assessments and opinions.
• Support compliance due diligence for vendor onboarding, including outsourced and third-party service providers.
• Review outsourcing arrangements for compliance with the CBUAE Outsourcing Regulation, including contractual requirements and oversight controls.
• Assist in maintaining outsourcing registers and supporting periodic reviews of outsourced activities.
• Support the drafting, review, and periodic update of compliance policies, procedures, and manuals.
• Assist in embedding regulatory requirements into operational processes and internal controls.
• Support compliance reporting to senior management and Board or committee forums.
• Conduct regulatory horizon scanning to identify upcoming or emerging regulatory developments.
• Support regulatory impact assessments and implementation planning for new or amended regulations.
• Maintain regulatory trackers and contribute to internal communications on regulatory change.
• Support the development and delivery of regulatory compliance training and awareness initiatives.
• Promote a strong culture of regulatory compliance, consumer protection, and ethical conduct across the organisation.

Senior Compliance Officer

Engineer

• Operate and maintain Elastic Enterprise clusters (index lifecycle, scaling, retention, access control, backups)
• Design and manage log pipelines (Fluentd / Fluent Bit / Logstash / Beats) for applications, databases, and infrastructure
• Support and gradually decommission Datadog integrations (logs, metrics, APM, RUM, dashboards, monitors)
• Collaborate with SRE, DevOps, and Security teams to ensure observability compliance and integration with SOC2 / SIEM
• Define and maintain SLIs, SLOs, and error budgets, improving service reliability and visibility
• Implement and optimize metrics and APM solutions (Prometheus, VictoriaMetrics, Mimir, etc.)
• Automate observability infrastructure with Terraform, Helm, and GitOps tools (FluxCD or ArgoCD)
• Document architecture, data flows, and best practices

Senior Observability and Monitoring Engineer

Financial Planning and Analysis

• Extract relevant data from database queries using SQL and SFTP using automated extraction scripts for analytical purposes.
• Perform daily, weekly, and monthly reconciliations and revenue reports of financial transactions, ensuring accuracy and completeness for the loan products of Tabby
• Develop and implement reconciliation processes and controls to enhance efficiency and accuracy.
• Proactively identify and resolve discrepancies between internal and external statements;
• Collaborate with various stakeholders, including finance, operations, and technology teams, to highlight and resolve the gaps to fully automate data accuracy across internal and external sources
• Prepare and present reports to management, highlighting key findings and areas for improvement.
• Maintain thorough documentation of analytical processes and procedures.
• Support internal and external audits by providing relevant documentation and explanations.
• Project Management of financial reconciliation and revenue attribution projects across multiple internal and external teams and stakeholders
• Manage and maintain the life cycle of relevant data tools/tables.

Executive, Financial Services

• Design, construct, install, and maintain large relational databases.
• Maintain the integrity and security of the database, including backups and recovery procedures.
• Implement and manage disaster recovery and failover systems.
• Monitor database performance, implement changes, and apply new patches and versions when required.
• Optimize queries for performance.
• Collaborate with development teams to optimize database usage.
• Set up and maintain database replication, clustering, mirroring, and other high availability strategies.
• Use and understand tools like pgbouncer and modern monitoring systems.
• Stay updated with the latest database technologies and best practices.

Senior DBA Engineer

Data Scientist

• Design, develop, and maintain risk models using advanced machine learning techniques, including hybrid and sequential approaches.
• Regularly retrain, monitor, and validate existing models to ensure timely adaptation to changing customer behavior.
• Build and manage scalable data marts in BigQuery to support model development and analytical needs.
• Contribute to development of internal automation tools (e.g., AutoML components, ML workflows).
• Provide data-driven insights through ad-hoc analyses to support product, credit, and operations teams.
• Participate in early research and prototyping of new architectures (Transformers, foundation-style embeddings, multimodal models).

Data Scientist – Risk

Data Analyst

• Support product and business teams in working with different stages of customer activation and reactivation funnels.
• Take a holistic view of the customer lifecycle, identifying opportunities to improve long-term value, customer loyalty, and overall LTV.
• Generate hypotheses, conduct research and A/B tests, and present your findings clearly.
• Collaborate with business teams in addition to the product team.
• Support and monitor existing Tabby Customer Lifecycle metrics, identify areas for improvement.
• Develop data visualizations and reports that are informative and easily understood by business and product teams.
• Own and analyze raw product and behavioral events, transforming low-level data into actionable insights.
• Assist in the planning of necessary data structures.

Senior Data Analyst, SuperApp

• Configure internal queues in the CRM for distributing tickets to agents.
• Analyze and optimize prioritization logic, SLA paths, and fallback routing.
• Support special scenarios: escalations, VIP cases, language queues, shift-based routing.
• Perform regular audits of rule correctness and their impact on SLA and workload.
• Monitor key metrics: SLA, AHT, backlog, occupancy, shrinkage.
• Detect anomalies in data and investigate root causes of deviations.
• Analyze the impact of queue and process changes on service metrics.
• Prepare regular performance analytics and reports for management.
• Calculate required agent headcount based on forecasts and SLA.
• Model "what-if" scenarios: marketing activities, SLA changes, new processes or products.
• Evaluate schedule effectiveness and recommend optimal resource allocation.
• Build time series forecasts for incoming tickets, chats, and calls.
• Identify seasonal patterns, spikes, and holiday effects.
• Prepare short-term and long-term forecasts (interval, weekly, monthly horizons).
• Update forecasts considering product changes, marketing activity, and process updates.
• Write SQL queries to retrieve data from the analytics database.
• Collect data from multiple sources (CRM, BI systems, queue logs).
• Prepare and clean datasets for forecasting models.

Senior Data Analyst, WFM

• Configure internal queues in the CRM for distributing tickets to agents.
• Analyze and optimize prioritization logic, SLA paths, and fallback routing.
• Support special scenarios: escalations, VIP cases, language queues, shift-based routing.
• Perform regular audits of rule correctness and their impact on SLA and workload.
• Monitor key metrics: SLA, AHT, backlog, occupancy, shrinkage.
• Detect anomalies in data and investigate root causes of deviations.
• Analyze the impact of queue and process changes on service metrics.
• Prepare regular performance analytics and reports for management.
• Calculate required agent headcount based on forecasts and SLA.
• Model “what-if” scenarios: marketing activities, SLA changes, new processes or products.
• Evaluate schedule effectiveness and recommend optimal resource allocation.
• Build time series forecasts for incoming tickets, chats, and calls.
• Identify seasonal patterns, spikes, and holiday effects.
• Prepare short-term and long-term forecasts (interval, weekly, monthly horizons).
• Update forecasts considering product changes, marketing activity, and process updates.
• Write SQL queries to retrieve data from the analytics database.
• Collect data from multiple sources (CRM, BI systems, queue logs).
• Prepare and clean datasets for forecasting models.

• Configure internal queues in the CRM
• Analyze and optimize prioritization logic
• Monitor key metrics and detect anomalies
• Calculate required agent headcount
• Build time series forecasts
• Write SQL queries to retrieve data

• Configure internal queues in the CRM for distributing tickets to agents.
• Analyze and optimize prioritization logic, SLA paths, and fallback routing.
• Support special scenarios: escalations, VIP cases, language queues, shift-based routing.
• Perform regular audits of rule correctness and their impact on SLA and workload.
• Monitor key metrics: SLA, AHT, backlog, occupancy, shrinkage.
• Detect anomalies in data and investigate root causes of deviations.
• Analyze the impact of queue and process changes on service metrics.
• Prepare regular performance analytics and reports for management.
• Calculate required agent headcount based on forecasts and SLA.
• Model “what-if” scenarios: marketing activities, SLA changes, new processes or products.
• Evaluate schedule effectiveness and recommend optimal resource allocation.
• Build time series forecasts for incoming tickets, chats, and calls.
• Identify seasonal patterns, spikes, and holiday effects.
• Prepare short-term and long-term forecasts (interval, weekly, monthly horizons).
• Write SQL queries to retrieve data from the analytics database.
• Collect data from multiple sources (CRM, BI systems, queue logs).
• Prepare and clean datasets for forecasting models.