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    Risk, Operational Risk, Associate - Dallas, United States - Goldman Sachs Group, Inc.

    Goldman Sachs Group, Inc.
    Goldman Sachs Group, Inc. Dallas, United States

    2 weeks ago

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    Description

    Team:
    Operational Risk


    Title:
    Associate


    Location:
    Dallas or Salt Lake City


    The Operational Risk Department at Goldman Sachs is an independent risk management function responsible for developing and implementing a standardized framework to identify, measure, and monitor operational risk across the firm.


    This Data Management Operational Risk role is for a professional with subject matter expertise dedicated to strengthening the components of the firm's operational risk management framework relating to data management practices such that data quality of the firm's critical data used in key business management processes is assured.

    This role will be responsible to continuously identify, monitor, measure and assess operational risk for data governance standards, procedures, and implementation of the standards by the central data governance office within the Engineering division and federated data governance offices within all divisions of Goldman Sachs


    Responsibilities:


    Identify, monitor, and analyze operational risks arising from data management practices such as prioritization of critical data, cataloguing of data lineage, data sourcing contracts, data governance standards, data quality controls and data quality monitoring.

    Develop evidence-based challenges focused on improving all data management operations.


    Develop, monitor and report metrics to measure adherence to data management standards such as ownership, authoritative data sourcing and data quality controls.


    Propose qualitative and quantitative operational risk appetite/tolerance and monitor risk taking trends through bespoke metrics at firmwide and divisional/sub-divisional levels, escalating concerns to senior management.

    Monitor the key control inventory for critical data and challenge the absence of controls and/ or controls not adhering to defined control standards

    Conduct scenario analysis by working with stakeholders to develop plausible tail risk scenarios used in quantifying specific businesses exposure to potential risk


    Facilitate operational risk event and data collection; perform detailed reviews of trends to identify significant risks and ensure monitoring and remediation.

    Review New Activities and ensure data related operational risks arising from acquisitions, new products and/or business, and migrations, etc. are carefully considered

    Contribute to divisional and functional risk profile assessments by highlighting risk issues and trends to senior divisional managers and senior Operational Risk management team

    Conduct quarterly triggered assessments for the division to ensure the divisions risk and control self -assessment outcomes are consistent, credible, and underpinned by appropriate evidence

    Remain current on business drivers, regulatory and industry changes impacting the firm's data governance activities and obligations

    Contribute to the advancement of operational risk methods and practices and the operational risk management framework

    Identify and drive initiatives that improve the risk management activities at the firm

    This role requires an energetic self-starter that can liaise with Engineering teams both regionally and globally.

    Experience and knowledge in a regulated enterprise network, preferably financial institution's technology infrastructure/applications and control requirements are required together with strong interpersonal and analytical skills for this role

    Qualifications

    Strong business acumen with general awareness of data governance related processes or strong grounding in operational risks and business flows


    5+ years of relevant experience, which could include working in operational risk or data governance function in engineering/finance/risk divisions of financial institutions or working in data management reliant regulatory reporting such as BCBS239, Basel 3 or CCAR in financial institutions or working the data management /regulatory implementation practices in consulting organizations.


    Strong data analysis skills:
    ability to expertly use SQL, Excel, Alteryx tools to design and implement metrics

    Strong verbal and written communication skills with the ability to present with impact and influence.

    Ability to work in a fast-paced environment with a strong delivery focus

    Strong organizational skills (project management experience a plus)

    Ability to work in a team environment and knowledge share with other colleagues within team

    Familiarity with enterprise risk management best-practices and controls

    Possess a bachelor's degree, Finance, Data Science, Economics, Computer Science, or related discipline


    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

    We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process


    Learn more:
    The Goldman Sachs Group, Inc., 2023. All rights reserved.

    Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

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