Operational Excellence Analyst
7 days ago
About the Role:
As a key member of the GMNS Operational Excellence team, you will play a crucial role in driving risk-based decisioning and management of control and compliance objectives to support business priorities.
With a strong focus on proactive risk identification and development of Automated Key Risk Indicators (KRIs), you will be responsible for developing and improving testing and monitoring strategies for the GMNS business.
You will support Operational Risk Identification and Development of Key Risk Indicators to drive valuable insights and effective risk mitigation strategies, focusing on design and development of Automated Key Risk Indicators leveraging Enterprise Capability of Smart Monitoring.
Key Responsibilities:
- Strong collaboration across GMNS business, Compliance, GCO, Global Risk and Compliance, broader GMNS Operational Excellence teams, Smart Monitoring CoE for forward-looking risk detection and lead development of Automated Key Risk Indicator
- Support the development of Key Risk Indicators (KRIs) for automated, near real-time risk monitoring as part of the Smart Monitoring capability
- Take a lead in more advanced development/coding strategies and support creation of meaningful insights from associated outcomes
- Lead exploration of the most complex data environments in GMNS, create recommendations and strategies for leveraging data findings to build more complex, yet efficient KRI logic structures
- Write KRI code (logic) by leveraging appropriate data after understanding detailed specifications of business processes, reviewing output of back-testing, and correcting and refining the logic to ensure that KRIs are working properly
- Assist in exploration of available KRI development capabilities and tools to identify opportunities to transition and create more effective development processes
- Perform advanced data analytics to identify trends, composition, leading indicators, outlook in operational risk and monitor efficacy of KRIs
- Leverage unstructured data sources to identify potential process breakdowns and opportunities area
Requirements:
- 3-4+ year of experience with data-driven analytics/governance and risk management,
- Preferred experience in financial services, risk management, internal control
- Preferred Postgraduate degree Statistics/Mathematics/Economics/Engineering/Computer Science
- Knowledge of risk management and risk governance framework
- Prior Operational/Credit/Fraud Risk Management experience
- Strong proven understanding of programming languages in SQL, Python
- Proven understanding of data exploration on Cornerstone/Lumi
- Preferred understanding of Merchant and Network life cycle
- Ability to work effectively in a team environment
- Strong communication skills, both verbal and written, particularly adept at storytelling
- Experience compiling complex information and developing thoughtful material for presentation/updates
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