Risk Data Steward

The anticipated salary range for this role is between $158,000.00 and $198,000.00. The specific salary offered to an applicant will be based on their individual qualifications, experiences, and an analysis of the current compensation paid in their geography and the market for similar roles at the time of hire.

The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC offers a competitive portfolio of benefits to its employees.

Role Description

The Risk Data Steward (RDS) for Market Risk in the Data Management Team (part of the Enterprise Data Management Function) assists the Enterprise Finance Data Management Executive in implementing the organization's data governance strategy by advocating for the solutions aligned to our data principles, policies and standards and educate key stakeholders within Risk Management / Market Risk on purpose and value of data governance and importance of data quality.

As a RDS, you will partner with Risk Management Americas Division Market Risk experts to identify key data elements, historical data, data proxies and gaps, analyze the end-to-end process for market and regulatory reporting to clearly articulate inefficiencies, inaccuracies, data quality and control issues.

The RDS for Market Risk will drive improvements in the quality of information used in regulatory filings in the U.S., market risk, capital related market risk models, including VaR / SVaR and FRTB, scenario simulation choices (e.

g., parametric, historical, Monte-Carlo), P&L generation choices and attribution. The RDS also will be responsible for documentation and maintenance of meta data related to Market Risk Processes data.

The RDS will lead efforts to perform root cause analysis of identified issues and map out tactical and strategic solutions for process and control improvement, as well as front to back teams across the Americas Division as well globe to agree solutions, prioritize the delivery, and oversee the implementation.

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.

Scope

The role of Risk Data Steward (RDS) for Market Risk in the Data Management Team will assist in implementing the organization's data governance strategy by advocating for the solutions aligned to our data principles, policies and standards and educate key stakeholders within market risk on purpose and value of data governance and importance of data quality.

The RDS partners with Market Risk experts to identify key data elements, analyze the end-to-end process for market risk capital and regulatory reporting to clearly articulate inefficiencies, inaccuracies, data quality and control issues.

The RDS work will drive improvements in the quality of information used in regulatory filings in the U.S., market risk capital management, VaR / SVaR calculations, capital models, back testing, metric calculations.

The RDS also will be responsible for documentation and maintenance of meta data related to Finance Processes data. The RDS will lead efforts to perform root cause analysis of identified issues and map out tactical and strategic solutions for process and control improvement, as well as front to back teams across the Americas Division as well globe to agree solutions, prioritize the delivery, and oversee the implementation.

A successful RDS Market Risk candidate for this position must possess both a deep and wide background exposure in the market risk, products (trading book) and market risk data (e.

g., key data elements identification, data traceability / lineage & Data quality & issue management), reporting, stress testing, product control and managerial & regulatory reporting areas specifically around (e.

g., FRY-9C, Basel (FFIEC 101 / 102), Volcker etc.).

Role Objectives

• Promote the enterprise data strategy by advocating for the solutions aligned to SMBC's data principles, policies and standards and educate key stakeholders within Finance on purpose and value of data governance and importance of data quality
• Support the definition and maintenance of metadata, business terms, data ownership, Key Data Elements (KDE’s), producer / consumer listing, data quailty validation rules, data flow diagrams and lineage
• Manage the execution our Data Quality Issues management process (analysis issues, design solutions, prioritize implementation, plan, and track execution) for the Market Risk domain
• Support on-going operation of data quality management across the Risk Management data domain by defining and reporting on processes and metrics to measure the quality of the data used in Market Risk including leveraging the Bank’s BCBS239 Compliance Framework
• Supports Risk Management's Market Risk domain to establish strong regulatory interaction. Coordinates and works with the business to remediate, regulatory, internal audit, self-identified management and data quality issues
• Knowledge regulatory reporting (e.g., FRY-9C, Basel (FFIEC 101 / 102), Volcker etc.), capital management, back testing (i.

e., stress testing etc)

• Expertise in risk and market risky process-related data, with the ability to fluently communicate with Risk verticals professionals to gather and understand requirements and solve problems
• Strong communication, project management, writing and presentation skills

Qualifications and Skills

• BS / Master’s degree preferred : MBA or MS in Finance or Financial Engineering, Quantitative Finance, Economics or Computer Science or related degree from an accredited university.
• 5-7 years of experience years' experience in program data governance, risk Mangement functions, market risk, regulatory reporting, product control with proven success in project execution.
• Basic experience in a programming / scripting / data query language, (e.g., Python, VBScript, Structured Query Language (SQL)) supporting the ability to interpret, analyze large data sets.

Experience in data governance tools such as Collibra.

Broad understanding of current regulatory environment covering BCBS 239, Part 30 and other regulatory requirements related with data is preferred (Stress Testing and capital metrics;

Market Risk and related metrics including VAR, SVAR, FFIEC 102; FRY9-C; FRY-15; Basel (III - Fundamental Trading Book), RWA reporting requirements,

• Experience with BI / data analytics tools, (e.g., Tableau, QlikView, Alteryx) and Experience working with large data sets and Advanced Relational Database Experience (RDBMS) in one or more of the following :
• Microsoft SQL Server; Oracle; MySQL.
• Experience in developing data standards, processes, and policies, as well as developing and implementing enterprise data strategies, operational data stores and data quality tools
• Experience in business and data analysis, process improvement and project management
• Possess a results-oriented attitude and can lead and drive towards results in an independent and collaborative manner
• Ability to build relationships, team-oriented player with interpersonal and facilitation Skills
• Excellent listening, written and verbal communication skills
• Ability to work in a cross-functional, fast paced finance environment under pressure
30+ days ago