Business Analyst/Data Steward - Risk Management

This role is part of a team established by the Enterprise Data Governance Program. The Risk Domain Data Steward assists the Enterprise Risk Data Management Executive in implementing the Organization's Data Governance plan across the Americas Division Risk Domain. The Risk Data Steward role will support the Risk Organization's data management needs, provide oversight over risk data assets and ensure that all stakeholders across all risk stripes implement and adhere to SMBC's Data Management Policies and maintain alignment with overall Data Governance processes & standards and that have access to high quality data in a consistent manner. Data Steward will act as the key point of contact on all things data, collaboarate with many functional groups across several lines of business and will help run data management activities, prioritize and centrally coordinate tactical and strategic efforts, and maintain data documentation for the processes they oversee.

A successful candidate for this position must possess both a deep and wide background in understanding risk management stripes, reporting requirements, principles, operations and data governance, master data management, quality, lineage tools with a focus on risk management, project management methods and tools, risk discipline processes and controls, product management, developing remediation plan for specific regulatory and internal audit and senior management mandates related with data, data technologies.

Understands all aspects of Data Governance, policy, framework, standards and procedures including but not limited only to Data Lineage, Metadata, Data Quality, Data Remediation, and Issue Management.
• Document and deploy consistent enterprise-wide data definitions, processes and ownership. Works with business to identify and define Key Data Elements, collect required business and technical metadata, document data flows (Data lineage) relating to KDEs including the establishment of data quality rules and data profiling
• Works with business to document data processes, data flows (Data lineage) and overall risk and controls. Support efforts to create or enhance Data Governance related procedures, user guides and business data process maps
• Analyzes data or new requirements for reports or data migration and efforts to consolidate data into centralized warehouses
• Coordinates monitors escalates and remediates data quality issues and data exceptions working with the business partners and liaising with technology support. Monitors and reports related metrics (e.g., define/ gather metrics, develop dashboards, etc.) as per standards defined
• Coordinates and works with the business to remediate, regulatory, internal audit, management self-identified and data quality issues
• Collaborates with all key internal and external partners (business, technology, operations, etc..) to drive prioritization and implementation of data initiatives
• Posesses knowledge and experience with some or all of the following data domains: product/fund master, portfolio master, and corporate finance data etc...
• Ability to translate regulatory rules & requirements into data policies, rules and standards
• Knowledge of regulatory and risk reporting: Liquidity: Leverage and Capital Ratios, Intraday Liquidity; Stress Testing and capital metrics; Market Risk and related metrics including VAR, SVAR, FFIEC 102; Credit & Portfolio analysis and required data inputs, Credit Risk Mitigation; Opeartional Risk, RCSA, Model Governance, FRY9-C; FRY-15; Basel (II; III; IV) RWA reporting requirements, Counterparty Credit Risk and Stress Testing; ALLLR; CECL; Regulatory Capital and Climate Risk reporting and related analytical tools
• Expertise in risk management process-related data, with the ability to fluently communicate with risk management stripes professionals to gather and understand requirements and solve problems
• Significant data management experience within the risk management stripes sector (preferably in credit, liquidity, market risk, enterprise risk)
• Guide and advise others on meaning and use of data.

• 7+ years of experience in program data governance and risk management, operations and/or reporting areas with proven success in project execution
• Project management expertise and knowledge of project management methodology/SDLC/Agile etc., processes in IT or financial services environments. For example, experience using agile project management tools such as JIRA
• Posses a strong analytical mindset, is results-oriented attitude and can lead and drive towards results in an independent and collaborative manner
• Knowledgeable in Risk management and reporting platforms, architecture, and technologies in banking.
• Broad understanding of current regulatory environment covering BCBS 239, Part 30 and other regulatory requirements related with data is preferred (Liquidity: Leverage and Capital Ratios; Stress Testing and capital metrics; Market Risk and related metrics including VAR, SVAR, FFIEC 102; Credit & Portfolio analysis and required data inputs, Credit Risk Mitigation; Operational Risk, RCSA, Model Governance, FRY9-C; FRY-15; Basel (II; III; IV) RWA reporting requirements, Counterparty Credit Risk and Stress Testing; ALLLR; CECLand Regulatory Capital).
• Experience in leading a data governance with specialist knowledge on governance principles and practices
• Experience with Data Management tools (e.g., Collibra) and working with large data sets
• Data analytical skills with the capability of identifying data quality issues, risks, root causes and correlating those issues with data specifications, quality rules and offer/facilitate recommendation for remediation plan solutions
• BS/ Master's degree preferred: MBA or MS in Risk Management or Computer Science or related degree from an accredited university
• Strong communication, project management, writing and presentation skills
• Ability to work in a cross-functional, fast paced finance environment under pressure, build effective relationships at all level of business, flexible and team-oriented player with interpersonal and facilitation Skills
• It would be helpful if you have knowledge of advanced relational database (RDBMS) in one or more of the following:
  • Microsoft SQL Server
  • Oracle
  • MySQL