
Data Management - Technical Business Analyst
- London
- Permanent
- Full-time
- Lead and drive business and data initiatives as part of a delivery team, collaborating across functional and business stakeholders to analyze and refine user stories and design scalable solutions.
- Mentor and guide delivery teams in building Fixed Income data products, leading design sessions for system enhancements, identifying automation opportunities, and integrating emerging technologies.
- Develop high-quality, well-documented, and efficient business requirements ensuring development follows modern coding practices.
- Partner with tech leads to refine product roadmaps and milestones, capturing technical designs and ensuring the delivery team has a comprehensive understanding of product requirements and success criteria.
- Lead backlog refinement, prioritization, and sprint planning, ensuring user stories have clear acceptance criteria and measurable business outcomes.
- Prepare test plans and validate solutions through user acceptance testing (UAT) to ensure final deliverables meet both technical and business expectations.
- Use advanced SQL skills to conduct data analysis, including reviewing stored procedures and Java code to extrapolate business logic and deliver end-to-end process mapping (current, interim, and future states).
- Proactively identify and escalate risks or blockers and take ownership in ambiguous situations to ensure timely delivery.
- 10+ years of experience in a technology role, preferably as a Business Systems Analyst, Product Owner, or Solutions Engineer within financial services.
- Proven experience as a Data Product Owner and/or Technical Business Analyst working with large-scale datasets or data platforms within Fixed Income
- Experience developing product roadmaps, managing backlogs, and guiding prioritization of data products using Agile methodologies and tools such as Jira and Confluence.
- Strong written and verbal communication skills, with the ability to translate complex technical concepts for non-technical audiences, and vice versa.
- Exceptional problem-solving and analytical skills, combined with sound business judgment
- Ability to communicate effectively with both technical and executive stakeholders.
- Demonstrated ability to lead cross-functional teams, influence stakeholders, and drive consensus across business and technology groups.
- Strong data evaluation and mapping skills, including interface mapping to databases and integration with internal and external applications.
- Technical proficiency in Python, SQL, Power BI, and data analysis tools.
- Bachelor’s degree in Finance, Economics, Statistics, Computer Science, or related discipline.
- Deep expertise in Fixed Income Asset Management, with a strong understanding of the trade and portfolio management lifecycle, operations, compliance, risk, and attribution reporting.
- Demonstrated experience in data management, including DQ value, processes, tools, and related activities (data governance, metadata, data standards, data aggregation).
- A collaborative, team-oriented mindset with a passion for continuous learning and innovation.
- Experience presenting to and influencing executive-level stakeholders and contributing to enterprise-level data strategy.