Risk Data Governance

3 weeks ago

Birmingham, United Kingdom Goldman Sachs Full time
OUR Impact:
Risk Data is a high-profile team within Risk that is responsible for managing the data risk for the Risk Division. The core mandate is to partner with users and the technology organization to expand and improve the strategic data architecture that supports Risk workflows and to ensure the division adheres to and implements the firmwide data governance strategy and the principles of BCBS 239 and other relevant data regulation.
YOUR Impact:
Risk Data is uniquely positioned within Risk to work on projects that span groups within Risk and across the firm. Risk Data helps to ensure that business data needs are met with technology solutions. Risk Data is responsible for implementing the Firm's data governance policies, and owns the policies and implementation of risk specific policies on BCB 239 and other relevant data regulation.
We work with divisional stakeholders, to provide transparency into where data enters the firm, how it is transformed/reported/classified, and what data quality controls exist for critical datasets. Our internal clients use this information to gain insights - aiming to eliminate duplication, improve data quality, respond faster to new business opportunities, and to meet regulatory requirements.
FULFILL YOUR POTENTIAL
As a member of the team, you will gain satisfaction though adding value and contributing to the team's initiatives. You will:
  • Drive adoption of the firmwide data governance framework in the division.
  • Manage initiatives to improve the quality of data governance.
  • Work with data consumers and producers to negotiate ownership of data
  • Create lineage graphs to show how data moves from top of the flow (e.g. trading, sales and deal systems) to lower down the flow (e.g. risk reporting, regulatory reporting)
  • Develop communication and reference materials that enable data consumers and producers to implement the data governance policy and standard
  • Define and create appropriate data validation controls
  • Provide data quality analytics that enable data consumers and producers to drive remediation efforts
  • Ensure internal policies and standards meet regulatory expectations, add value and are integrated into the division's day to day workflow.
  • Partner closely with divisions to define and evolve firmwide data governance strategy
  • Partner with users and provide feedback on the strategic tooling to engineering teams for business use cases
  • Build consensus across senior stakeholders
  • Communicate progress to senior stakeholders and within the team
You will have the potential to:
  • Grow your understanding of data and the underlying businesses that use it
  • Develop business, data analysis and relationship management skills
  • Contribute to progressing the data governance strategy at Goldman Sachs
Why join the team?
  • Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients.
  • Interpersonal Communication: You'll engage with data producers and consumers across all areas of the business to understand their requirements and to propose solutions tailored to their needs.
  • Creativity: You'll be encouraged to suggest improvements to products and to propose ways, in which we can add value for our stakeholders.
  • Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility.
RESPONSIBILITIES AND QUALIFICATIONS
Experience working with stakeholders on projects to develop strategies and solutions, ideally related to data. Ability to work in a collaborative manner with stakeholders and drive consensus is essential. Experience working with a business team to develop functional requirements and translating those into technical requirements is important.
RESPONSIBILITIES
  • Play a central role in defining the strategic direction for Risk in data initiatives.
  • Drive adoption of the firmwide data governance framework in the division.
  • Manage initiatives to improve the quality of data governance.
  • Interface and coordinate with project team(s) to define objectives, develop approach, create detailed schedules, provide status updates and prepare deliverables for projects.
  • Document Data Lineage from source to reporting and ensure effective controls are in place from data entry to report production.
  • Perform in-depth analysis of Risk business processes and system issues to define, propose and implement strategic technological and procedural workflow improvements.
  • Partner with technology to ensure user tools for analyzing data meet users' needs
  • Prepare self-assessments against regulatory requirements for a variety of audiences ranging from supervisors to group and entity boards.
  • Engage with other divisions to drive firmwide policy and standard improvements.
  • Stakeholder management /sponsors and users of all levels
BASIC QUALIFICATION
  • Bachelor's degree
  • 3-5+ years' relevant experience
  • Excellent communication, negotiation and influencing skills.
  • Highly organized
  • Relationship management: effectively partner with divisions across the firm with a focus on end-client value
  • Extremely proactive and works well in a collaborative environment
  • Exceptional attention to detail and analytical thinking
  • Ability to effectively communicate and present results highlighting the broader strategic impact
  • Strong written and oral communication and presentation skills and ability to work effectively with others
  • Strong attention to detail, intellectual curiosity and organizational skills - ability to manage a constantly evolving inflow of projects and priorities
  • Team player - ability to maintain mutual support within a high profile team
  • Control-oriented
PREFERRED QUALIFICATIONS
  • Experience of data governance or data management
  • Prior experience in financial services industry in Regulatory Reporting
  • Project management skills
  • Ideally has a good understanding of data usage in one or more business areas

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