As part of this work, Risk Engineering has a critical focus on the quality of data, and the organization includes roles focused on assuring the quality of data that is used for risk management and regulatory reporting.  Operational Risk event data is a core data set that requires focus on timely and accurate reporting of operational risk events.  The Data Assurance function plays a critical role in ensuring the effectiveness of controls and data accuracy.

Role Responsibilities

The Op Risk Event Data Assurance function assures the data quality of operational risk event data that is used for risk management and regulatory reporting​. 

The following are core responsibilities of the Op Risk Event Data Assurance function:

• Understanding of firm’s businesses and operational risk events arising from them including regulatory expectations around operational risk event data quality and the firm’s standards and policies 
• Daily review and manage the processes of operational risk data quality which includes initiating challenge processes with key stakeholders 
• Build robust, systematic & efficient workflows, processes and procedures around the monitoring and challenge of operational risk data quality 
• Work closely with internal stakeholders both within 1st line and audit functions on a frequent basis to implement and facilitate the firm’s data quality strategy
• Engage with external stakeholders including regulators and external auditors 
• Identify and appropriately escalate issues related to data and work accuracy and quality
• Take initiative to identify opportunities for process improvements and develop methods to reduce process risks, increase controls, and increase communication
• Monitor and analyze data quality exceptions going into firm’s regulatory reporting deliverables

Qualifications, Skills & Aptitude 

Eligible candidates are preferred to have the following:

• Minimum Bachelor’s degree in Finance, Economics or Business
• 2+ years of relevant experience, either working in operational risk or in a financial institution 
• Broad knowledge of financial and accounting principles and interest and familiarity with finance, financial markets and economic developments
• Strong interest and familiarity with finance, global financial markets, and economic developments.
• Strong analytical and quantitative skills
• Strong written and verbal communication skills 
• Ability to self-organize and demonstrate attention to detail
• Ability to work flexibly in multinational environment and manage a varied workload to meet deadlines
• Highly motivated with strong academic background and a commitment to excellence