Bangalore, IN
Actively hiring, first seen by us 4 days agoProcess static and market reference data updates within end-of-day timelines
Validate rates and reference data across time zones before cut-offs
Investigate processing exceptions and escalate to data or technology owners
Execute operational controls and track required sign-offs
Maintain audit trails and control evidence for reference data changes
Process static and market reference data updates accurately and within agreed service and end-of-day timelines
Validate rates and reference data captured across relevant time zones to identify missing, incorrect or anomalous information before operational cut-offs
Investigate processing exceptions and data discrepancies, completing permitted corrections or escalating issues to the appropriate data, business or technology owner
Generate and circulate control reports, track required sign-offs and escalate overdue or incomplete confirmations through defined governance channels
Maintain complete processing evidence and audit trails that demonstrate the accuracy, timeliness and authorisation of reference data changes
Exposure to high-volume or time-critical financial-services environments where data accuracy and processing cut-
Priority Skills • Data Governance • Data Integrity • Data Quality Control
Regulatory Compliance Other Skills
From the employer’s posting.
Our strategy, which combines cross-border capabilities and leading wealth management expertise, helps us deliver our purpose - to drive commerce and prosperity through our unique diversity.
In the employer’s words · Read in context
Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 4
Early. Similar jobs usually come down between day 6 and day 52.
At Standard Chartered Bank, jobs usually come down by about day 24.
From 1,797 similar postings that came down, and 130 of Standard Chartered Bank’s. Coming down is not always a hire.
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New Data Governance postings at the employers we follow are up 170% over the last 6 weeks compared with the 6 before.
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We file this job under Data Governance, by the work the posting describes.
Data governance staff keep a company's data accurate, documented and used within the rules. They agree what key fields mean, set up quality checks, track who owns each dataset and look after master data.
Postings ask for SQL, a governance tool such as Collibra or Informatica, knowledge of privacy and data rules, and a lot of work with other teams.
A data engineer builds the systems that move data; governance staff set and check the standards that data has to meet.
This role exists to maintain accurate, timely and controlled static and market reference data across Financial Markets processing environments. Reliable reference data enables transaction processing, valuation, risk measurement and end-of-day activities to operate using complete and validated information.
The role is accountable for processing and validating reference data updates, monitoring market-rate capture across relevant time zones, completing operational controls and resolving or escalating exceptions before agreed cut-off times. The role produces control evidence, tracks required sign-offs and maintains clear operating procedures to support auditability, regulatory compliance and operational resilience.
Working with Financial Markets Operations, Technology, data providers, control functions and project teams, the role supports changes to reference data processes and platforms without owning market-data sourcing strategy, source-system development or enterprise data policy. The role contributes operational expertise, control requirements and implementation readiness to ensure that changes are introduced safely and sustainably.
Reference Data Processing and Validation
• Process static and market reference data updates accurately and within agreed service and end-of-day timelines, enabling reliable downstream transaction processing and valuation.
• Validate rates and reference data captured across relevant time zones to identify missing, incorrect or anomalous information before operational cut-offs.
• Investigate processing exceptions and data discrepancies, completing permitted corrections or escalating issues to the appropriate data, business or technology owner.
• Maintain complete processing evidence and audit trails that demonstrate the accuracy, timeliness and authorisation of reference data changes.
Data Quality and Integrity
• Apply defined data-quality checks to reference data updates, protecting the completeness, consistency and integrity of information used by Financial Markets processes.
• Analyse recurring errors and control exceptions to identify patterns, root causes and opportunities for sustainable remediation.
• Support data owners and relevant teams with clear operational evidence when investigating material or recurring reference data weaknesses.
• Monitor data-quality outcomes and recommend improvements to validation rules, processing controls and exception-management practices.
Operational Controls and Governance
• Execute controls in accordance with Department Operating Instructions, policies and delegated authorities, ensuring that processing decisions are consistent and traceable.
• Generate and circulate control reports, track required sign-offs and escalate overdue or incomplete confirmations through defined governance channels.
• Review and update operating instructions when processes, controls or systems change, maintaining accurate and usable procedural documentation.
• Identify control weaknesses or policy breaches and escalate concerns promptly to support effective risk mitigation and management oversight.
Market Data Operations and Service Delivery
• Support the controlled setup and maintenance of market data across relevant processing platforms and information-provider services.
• Coordinate operational dependencies across regional time zones to protect end-of-day processing and minimise downstream disruption.
• Provide timely information to stakeholders on processing status, exceptions, control completion and emerging delivery risks.
• Contribute to consistent service delivery across static and market data processes by applying common standards and disciplined hand-offs.
Change, Projects and Continuous Improvement
• Contribute reference data requirements, operational knowledge and control considerations to projects, change initiatives and Book of Work discussions.
• Assess the operational impact of proposed process or system changes, highlighting data dependencies, implementation risks and readiness requirements.
• Support testing, implementation and post-release validation to confirm that reference data changes operate as intended within the production environment.
• Improve workflows, controls and reporting approaches to increase processing accuracy, productivity and operational consistency.
Operational Resilience and Risk Management
• Perform assigned business continuity and disaster recovery activities to confirm that critical reference data processes can continue or recover within established arrangements.
• Maintain awareness of operational, regulatory and financial crime risks applicable to reference data processing and escalate concerns through defined channels.
• Apply appropriate access, maker-checker and administrative controls to protect sensitive data and prevent unauthorised or inaccurate changes.
• Support incident response by providing processing evidence, impact information and reference data expertise to the teams accountable for resolution.
Priority Skills
• Data Governance
• Data Integrity
• Data Quality Control
• Data Strategy
• Regulatory Compliance
Other Skills
• Continuous Improvement
• Issue Management
• Leadership
• Project Management
• Requirements Elicitation
• Risk Management
• Stakeholder Engagement
• Strategy Development
• Talent Development
• Motivated by solving complex business problems through data, analytics and structured decision-making.
• Energised by working across business and technology teams to influence outcomes and deliver measurable impact.
• Thrives in environments that value accountability, continuous improvement, collaboration and analytical rigour.
• Exposure to high-volume or time-critical financial-services environments where data accuracy and processing cut-offs affect downstream operational outcomes.
• Experience working with static data, market data or other reference datasets used across transaction-processing, valuation or risk platforms.
• Exposure to data-quality controls, exception investigation and operational reporting within a controlled or regulated environment.
• Experience working across Operations, Technology, control teams and external information providers to resolve data or processing issues.
• Exposure to operational change, system testing, business continuity exercises or process-improvement initiatives involving multiple dependencies.
We're a global bank connecting clients to our differentiated network, offering growth opportunities in the world's most dynamic markets. Our strategy, which combines cross-border capabilities and leading wealth management expertise, helps us deliver our purpose - to drive commerce and prosperity through our unique diversity.
Over our 170-year history, and across a unique geographical footprint connecting Asia, Africa and the Middle East to each other and the world, we've built a bank like no other, with diverse capabilities and partnerships that set us apart.
Visit our careers website to learn more about us: www.sc.com/careers.
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Bangalore, IN
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