Data Operations Strategy Associate

Join our team where you can contribute to every trade settlement and investment decision the bank makes.

As a Data Operations Strategy Associate within the Instrument Reference Data team you will work at the intersection of data operations and business translating complex data problems into practical scalable solutions that improve how the bank operates. This is a role for someone who is comfortable with ambiguity. You will identify and frame problems as they emerge prioritise what matters most and build the analytical tools and dashboards that help teams make better decisions. You will partner closely with stakeholders across trading operations and reporting to diagnose data quality issues understand their root causes and deliver targeted fixes.

You will be supported by a collaborative team and senior partners but you will be expected to take ownership of your work from day one. Over time you will contribute to shaping the data strategy for the team with real visibility into how your work influences trading operations and decision-making across the organisation.

Job responsibilities

• Identify and frame incoming data and operational challenges prioritise what matters most and define practical strategies to address them.
• Design and build data solutions using visualisation tools SQL Python and AI-enabled platforms to support operational metrics and analytics.
• Contribute to data quality initiatives end-to-end from problem identification through to delivery and scaling working closely with senior team members.
• Perform root-cause analysis to uncover process inefficiencies and implement targeted improvements that reduce recurring data issues.
• Facilitate stakeholder discussions to gather requirements align on priorities and track progress on data quality initiatives.
• Collaborate with data teams across regions to support day-to-day data activities and maintain quality standards.
• Ensure solutions are documented and aligned to internal controls with an awareness of associated operational and reputational risks.

Required qualifications capabilities and skills

• Bachelors degree
• Minimum 3 years of experience in a data operations quantitative or analytical role within financial services.
• Strong analytical and problem-solving skills with the ability to break down complex challenges and deliver practical solutions.
• Able to work independently in an ambiguous environment managing competing priorities and knowing when to escalate.
• Strong communication skills able to work across teams and seniority levels extract requirements and keep stakeholders aligned.
• Proficiency in SQL and Python for data analysis and automation.
• Hands-on experience with at least one visualisation tool (Power BI Tableau or Qlik) and at least one workflow or project management tool (Jira or Confluence)
  

Preferred qualifications capabilities and skills

• Experience with Alteryx or similar data preparation and workflow automation tools.
• Familiarity with AI or machine learning tools applied to data quality classification or operational workflows.
• Experience with RPA tools such as UiPath.
• Understanding of data management principles in financial services including governance quality lineage and modelling.
• Knowledge of financial instruments corporate action events and data vendors such as Bloomberg Refinitiv ICE or MSCI