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Risk Management Manager

4 semanas atrás


São Paulo, Brasil Keeta Tempo inteiro

As the Safety Risk Manager, you will play a pivotal role in building the future of safety risk

management at Keeta.

Job Responsibilities:

- Lead data analysis and modeling for platform risk scenarios
- Conduct risk identification, classification, and early-warning analysis across rider/driver/courier, merchant, and customer segments.
- Perform bottom-up data discovery and metric construction
- Conduct in-depth EDA using raw mobility/delivery platform data (orders, location traces, incentives, behavioral logs).
- Build standardized risk metrics, operational metrics, behavior features, and monitoring indicators from the ground up.
- Apply top-down business perspective to drive strategy and execution
- Work closely with product, operations, policy, and risk teams to translate high-level business goals into measurable and actionable metrics.
- Drive 0→1 metric system design for new markets or new products, and evolve metrics for rapid growth and later-stage refinement.
- Develop dashboards and risk monitoring systems
- Build and maintain BI dashboards to monitor key risk, quality, safety, and operational metrics.
- Detect anomalies, conduct root-cause analysis, and support incident response and post-mortem reviews.
- Support cross-functional decision making and risk strategy design
- Provide data-driven insights to support risk mitigation strategies, counter-measure design, operational policy updates, and business optimization.
- Evaluate the impact of policy or product changes, and create closed-loop measurement frameworks.

Job Requirements:

- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Information Systems, Operations Research, Data Science, or related fields.

Technical Skills

- Proficient in SQL and Python/R for data processing, modeling, and analysis.
- Solid knowledge of machine learning methods (logistic regression, decision trees, anomaly detection, clustering) is preferred.
- Strong ability to understand raw data structures and build robust metric definitions.
- Risk Experience (Core Requirement)
- Experience in risk analytics, trust & safety, fraud detection, operational risk, or platform governance—preferably in mobility, delivery, or other two-sided marketplace industries.
- Familiar with risk assessment lifecycle: identification → quantification → monitoring → mitigation.
- Bottom-Up Analytical Capability
- Ability to investigate raw data (orders, trajectory data, incentives, cancellations, GPS signals, courier/driver behavior) and derive structured metrics and actionable insights.
- Top-Down Business and Strategy Thinking
- Ability to understand business models such as supply-demand balancing, delivery SLA, driver/courier incentives, merchant performance, and safety/quality frameworks.
- Proven experience in designing and scaling 0→1→N metric systems supporting business objectives.
- Project Experience (strong preferred but not necessary)
- Experience supporting new market entry, new product launches, or rapid-scale operations is highly preferred.
- Demonstrated ability to independently drive cross-functional initiatives to completion.

Soft Skills

- Strong analytical reasoning, structured communication, and data storytelling abilities.
- Ability to convert complex analysis into clear, practical recommendations for business stakeholders.
- Proactive, ownership-driven mindset with high attention to detail.