Risk-Bengaluru-Vice President-Software Engineering

The Risk division is responsible for credit, market and operational risk, model risk, independent liquidity risk, and insurance throughout the firm.

Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm's senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm's risk profile allowing them to take actionable and timely risk management decisions.

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 Loss Data Validation 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
• 7+ 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

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

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