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Uber India Research And Development Reviews by Employees

Community Operations Specialist

Team Lead

As a Risk expert, you will be expected to develop the ability to identify fraud signals and new risk vectors, to supply actionable solutions to the Decision Science, Product, Operations, Engineering, and other partner teams to deploy improved mitigation strategies. You will need to have keen observation skills that will help find opportunities to enhance operating guidelines by ensuring that bad actors are blocked in record time while minimizing negative user sentiment for false positives. This role supports a global organization and is an exciting opportunity to be a part of a dynamic and fast-paced environment within the Risk Management function, which is a centralized risk function supporting risk management activities for Uber globally. What the candidate will do: - Own, perform, and strengthen risk assessment to reduce fraud losses and defect rates - Track the effectiveness of risk actioning programs, to create an early feedback loop and defect identification proactive, to ensure the team reflects on ground truth for decisioning and actioning. - Build success indicators based on risk-related actioning that will translate insights at scale and help shore up business impact on Uber's bottom line - Liaise with Data Science, Product, and Engineering teams to identify emerging risks and opportunities keeping a comprehensive view in mind, not just targeting losses but also customer experience, operational and topline impacts - Identify leakages and anomalies in risk identification vectors (ingestion and post-review), diagnose potentially risky combinations, and create rapid remedial action plans for self and partner teams. - Influence the risk culture and risk maturity of each program by adopting industry best practices for risk mitigation across the organization including vendor partners - Contribute toward the strategy and development of new fraud mitigation methods against additional known and new fraud vectors. TOOLING AND AUTOMATED SOLUTIONS: - Work with program stakeholders across Data Science, Product, Operations and Engineering teams to understand cross-functional roadmaps and team priorities, to support the improvement of existing systems, tooling, and product through automation and usage of AI/ML solutions - Identifies the scope to increase tool usage and adaptability in the risk ecosystems, for more efficient risk decisioning - Build mechanisms to find patterns and trends at scale in the Uber Risk space Translate these findings into tech-enabled solutions that can help elevate manual review actioning accuracy and speed - Guide and mentor team members by infusing the product mindset to scale solutions and think beyond operational fixes to enable growth overall Process Excellence - Independently manage complex projects while working with respective leads within Uber and the partner ecosystem to drive operational and technical optimizations of risk processes - Design, implement, and supervise all aspects of risk operations to improve decision-making accuracy and build positive relationships for combined success. - Track KPIs, and communicate results and remediation plans across levels, by prioritizing findings, identifying dependencies and uncovering potential gaps, and creating an E-2-E escalation framework. Basic Qualifications : - 8+ years of industry experience in Risk Management in retail, e-commerce, online services, etc. - Minimum 5+ years of fraud and product operational risk roles and analytics experience Bachelor's or postgraduate degree in Engineering, Computer Science, Data Science, Mathematics, Statistics, or related technical fields. - Advanced SQL and experience in building risk/product roadmaps is mandatory - Working knowledge of analytical tools (e.g., Python, R, Jupyter notebooks) for data analysis, and precision analysis for automation, is preferred - Strong analytical skills with the ability to use data and metrics to back up assumptions, and recommendations and drive customer and product-focused decisions - Excellent written and verbal communication skills. Ability to influence and motivate people (both technical and non-tech) cross-functionally, through your relationships Any Risk, Compliance, Audit, and/or Information Security-related certification preferred

Hyderabad

Uber - Risk Program Manager 

Job Description for Uber - Risk Program Manager  in Uber India Research and Development in  Hyderabad for (8-13) years of experience. Apply Now!

Uber - Risk Program Manager  | iimjobs.com