Data Operations Senior Associate

Love working with data and translating complexity into clear actions? Join a team where your analysis and delivery discipline help leaders improve operational performance and strengthen data confidence. You will partner closely with operations and technology stakeholders to build insightful reporting, scalable analytics, and measurable outcomes. If you enjoy combining analytics, communication, and structured execution, this role offers broad visibility and meaningful impact.

Job summary

As a Data Operations Associate in Securities Services Operations, you will transform operational data into insights, reporting, and measurable improvement opportunities. You will partner with process-owning teams to define success measures, track benefits over time, and deliver clear, executive-ready updates. You will also help improve efficiency through automation and support data quality monitoring through structured, collaborative oversight.

Job responsibilities

• Analyze complex operational datasets to identify measurable opportunities to improve performance, reduce cost, or mitigate operational risk.
• Define success measures and tracking approaches upfront, including baselines, targets, and benefits realization methods.
• Produce clear, decision-oriented narratives that explain the “what,” “so what,” and “what next” for senior stakeholders.
• Build and enhance dashboards and recurring management reporting for operational metrics and performance tracking.
• Automate repeatable data preparation and reporting processes to reduce manual effort and improve timeliness and consistency.
• Develop scalable, reproducible analytics solutions using tools such as SQL, Python, Alteryx, and version-control workflows.
• Partner with stakeholders across operations and technology to clarify requirements, validate outputs, and prioritize delivery.
• Manage end-to-end analytics initiatives, including scope, milestones, dependencies, risks, and stakeholder communications.
• Maintain delivery cadence through structured plans, status reporting, escalation pathways, and issue resolution ownership.
• Monitor data quality indicators, surface issues early, and support root cause analysis in collaboration with data owners.
• Contribute to continuous improvement by identifying better ways to measure, visualize, and communicate operational performance.

Required qualifications, capabilities and skills

• Bachelor’s degree (or equivalent) required.
• Minimum 5 years of relevant experience in financial services operations, securities services, or a closely related function.
• Demonstrated ability to translate ambiguous problems into structured analysis plans and measurable, decision-ready outputs.
• Proficiency in SQL and Python for data extraction, transformation, and analysis.
• Experience building dashboards and reporting using Tableau or a comparable business intelligence platform.
• Experience using Alteryx for workflow automation or using code-assist tools and Git-based development workflows to build reproducible solutions.
• Experience applying artificial intelligence techniques (for example, machine learning or large language models) to improve the speed, quality, or usefulness of analysis (as applicable to the role).
• Proven project and program management experience, including planning, stakeholder communication, dependency management, escalation, and impact tracking.
• Experience supporting data quality monitoring and issue identification in partnership with process-owning teams, with clear understanding that data ownership remains with the business.
• Strong written and verbal communication skills, including the ability to present clearly to senior audiences.
• Strong attention to detail, sound judgment, and the ability to manage competing priorities under deadline.

Preferred qualifications, capabilities and skills

• Experience supporting Asia Pacific markets or a regional operations or strategy role within a global financial institution.
• Familiarity with securities services products such as custody, fund services, clearing, or collateral management.
• Experience contributing to enterprise data governance frameworks or scaled data quality programs.