The Senior Business Intelligence Specialist — Fraud Risk provides advanced analytical data driven support to risk operations, translating complexprocesses into accurate metrics (KPIs & OKRs), forecasts, and operational insights. This role requires deep SQL expertise, strong data modeling and simulation skills, and a thorough understanding of fraud workflows and risk controls process. The specialist partners closely with Operation team (including cross-regional collaboration with China), and Management to design incentive schemes, optimize capacity and schedules, build robust dashboards, and lead post-mortem investigations for critical incidents.

• Performance Bonus Design & Calculation
• • Design and maintain incentive schemes aligned with area OKRs and organizational policies.
  • Ensure bonus targets are neither lax nor unattainable and verify budget alignment for each area.
  • Calculate monthly bonuses, reconcile results with Supervisors and Managers, and communicate outcomes.
  • Redesign bonus structures on demand; run historical simulations to validate expected outcomes and feasibility.
• Forecasting, Scheduling & Capacity Planning
• • Forecast volume at team and sub-team level and design optimized shift schedules to meet operational targets.
  • Maintain the capacity plan by forecasting future volume, evaluating team capacity, and recommending staffing levels that balance service needs with cost constraints (including coverage for vacations and planned absence).
  • Model scenarios to support trade-offs between headcount, throughput, and SLA attainment.
• Operational Metrics & Reporting
• • Produce performance reports summarizing operational results and trends.
  • Maintain high-granularity productivity files and ensure KPIs are updated and validated for operational use.
  • Support ad-hoc analysis and requests from Operations and Management.
• Dashboards & Automation
• • Model metrics offline to ensure accuracy and operational viability before production deployment.
  • Validate data sources and coordinate with the RD/data engineering team to request integrations when required.
  • Implement and maintain dashboards and automated reports in the formats required by operations (tables, charts, scheduled exports).
• Incident Analysis & Post-Mortems
• • Lead post-mortem analyses for significant incidents (e.g., abrupt indicator drops, systemic anomalies).
  • Perform root-cause analysis, document findings, and propose corrective and preventive actions.
  • Identify process improvements and support implementation plans.
• Stakeholder Engagement & Governance
• • Participate in relevant meetings; present findings and recommendations to Operations, Risk, and Management.
  • Collaborate closely with Risk Policy teams (including cross-regional coordination with China) to align metrics, controls, and remediation plans.
  • Ensure traceability and auditability of calculations and reports used for incentives and compliance.
  
  

• Advanced SQL / Hive SQL: Expert ability to write, optimize and maintain complex queries and transformations for large-scale datasets.
• Data Modeling & ETL Understanding: Strong experience designing reliable metric definitions, data pipelines, and validation checks.
• Forecasting & Statistical Methods: Solid skills in time series forecasting, scenario simulation, and capacity modeling.
• Advanced BI & Visualization Tools: Experience building production dashboards and automated reports in enterprise BI platforms (e.g., Tableau, Power BI, Looker, or equivalent).
• Excel (Advanced): Proficiency in complex formulas, pivot tables, automation (macros or scripts where needed).
• strong programming / Scripting: Familiarity with Python or R for advanced analysis, simulations, or automation tasks.
• Data Quality & Governance: Knowledge of best practices to ensure data accuracy, lineage, and auditability for compliance and incentives.
• Domain Knowledge: Strong understanding of fraud processes, detection workflows, and risk control mechanisms.
• Communication & Stakeholder Management: Ability to translate technical analysis into actionable recommendations for non-technical stakeholders and to coordinate with cross-regional teams.

• Creamos valor para nuestros clientes: nos esforzamos por crear siempre experiencias valiosas para nuestros usuarios en todo lo que hacemos. Nuestro enfoque es siempre innovar nuevas experiencias que sean seguras, placenteras y eficientes.
• Nos basamos en los datos: creemos firmemente en tomar decisiones informadas, por eso nos basamos en los datos. Podemos navegar mejor por el panorama empresarial estratégicamente mediante el análisis de métricas valiosas.
• Creemos en la colaboración de ganar-ganar: el éxito es un deporte de equipo. Cuando trabajamos para ayudar a nuestros socios y
• los compañeros ganan, nosotros también ganamos. Mientras nos preocupamos por los mejores intereses de todos, nos comunicamos con franqueza y ejecutamos con excelencia en todo lo que hacemos.
• Creemos en la integridad: la integridad es el núcleo de nuestro negocio. Somos personas que siempre queremos hacer lo correcto. Nuestras intenciones son sinceras, decimos lo que pensamos y nos escuchamos unos a otros.
• Siempre nos esforzamos por hacerlo mejor. Eso significa aventurarse más allá de nuestras zonas de confort, aprender de nuestros errores y ayudarnos a crecer unos a otros.
• Creemos en la diversidad y la inclusión: la diversidad es una de nuestras mayores fortalezas. Nuestras diferencias son las que nos hacen distintos. Nos respetamos y creemos en la igualdad de oportunidades para todos.