Risk Data Management Associate

Sumitomo Mitsui Banking CorporationNew York, NY
$90,000 - $135,000Hybrid

About The Position

The Associate – Risk Data Management role will be within the Risk Department (RMDAD), reporting to the Director – Risk Data Management.Role Objectives:Execute data governance, improve operational data quality, and implement BCBS 239 compliance. Ensure timely, accurate and complete collection and aggregation of risk data.Act as a data steward, providing guidance and ensuring best practices are followed. Ensure data stewardship processes are aligned with regulatory requirements and SMBC CDO policies and guidance. Promote the use of accepted data definitions, common reference data and sound data usage practices.Define, monitor, and maintain the risk department’s data assets. Establish inventories of key data outputs, and key data elements. Document data lineage, define and monitor data quality controls. Establish key performance indicators for data quality and regularly report on metrics by producing data quality scorecards. Leverage the data governance platform (Collibra) to capture data governance artifacts.Identify data quality issues, and work with the CDO team and other stakeholders to resolve these issues, improving overall data quality within the risk function. Participate in initiatives to resolve data quality issues. Ensure risk reporting is accurate, clear and complete, and presented to the right stakeholders timely.Collaborate with other internal stakeholders to ensure appropriate awareness and escalation of issues as they arise.This job description is not designed to cover or contain an all-inclusive list of duties and responsibilities that are required of the position. Duties and responsibilities may change as SMBC deems necessary, including other duties and responsibilities assigned at any time with or without notice. At any given juncture, certain of the duties and responsibilities listed in the job description may constitute essential functions of the job.

Requirements

  • SQL experience required
  • BS/BA Required
  • Strong communication (oral and written) and presentation skills
  • Demonstrated experience working on key data elements and data lineage establishment.
  • Ability to communicate business ideas and topics to technical and nontechnical audience
  • Ability to influence people outside the immediate span of control, negotiate and resolve conflicts, and work with stakeholders in various departments of the firm, or across lines of defense
  • Ability to work under pressure, operate comfortably in a fast-paced, demanding environment, and manage a significant workload with minimal supervision
  • Ability to collaborate with and successfully contribute to cross-functional teams and work with people from regions around the world
  • Advanced skills in MS Office products (PowerPoint, Excel, Word, etc.)

Nice To Haves

  • Python experience preferred
  • preferred majors: computer science, information / data / system management
  • MBA or MS / PhD in information science
  • Previous experience with data governance and data quality issue management.
  • Experience in risk reporting preferred.
  • Preferably knowledge of banking data systems (including SQL, NoSQL) and cloud data platforms (e.g. Azure) and related services.

Responsibilities

  • Execute data governance, improve operational data quality, and implement BCBS 239 compliance.
  • Ensure timely, accurate and complete collection and aggregation of risk data.
  • Act as a data steward, providing guidance and ensuring best practices are followed.
  • Ensure data stewardship processes are aligned with regulatory requirements and SMBC CDO policies and guidance.
  • Promote the use of accepted data definitions, common reference data and sound data usage practices.
  • Define, monitor, and maintain the risk department’s data assets.
  • Establish inventories of key data outputs, and key data elements.
  • Document data lineage, define and monitor data quality controls.
  • Establish key performance indicators for data quality and regularly report on metrics by producing data quality scorecards.
  • Leverage the data governance platform (Collibra) to capture data governance artifacts.
  • Identify data quality issues, and work with the CDO team and other stakeholders to resolve these issues, improving overall data quality within the risk function.
  • Participate in initiatives to resolve data quality issues.
  • Ensure risk reporting is accurate, clear and complete, and presented to the right stakeholders timely.
  • Collaborate with other internal stakeholders to ensure appropriate awareness and escalation of issues as they arise.

Benefits

  • annual discretionary incentive award
  • competitive portfolio of benefits
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