We are seeking a detail-oriented and analytical Data Analyst to join our Data Management team within the Asset Management division. This role is critical in ensuring the integrity, accuracy, and availability of data used across investment, risk, compliance, and client reporting functions. The ideal candidate will have a strong understanding of financial instruments, data governance, and data quality frameworks, with hands-on experience in SQL and programming languages to support data mapping, transformation, and analysis.
The ideal candidate will have a strong understanding of financial instruments, data governance, and data quality frameworks, with the ability to work collaboratively across teams to support data-driven decision-making.
This role will report to the ADS practice lead for security Mastering and is hands on in terms of coding and building our analytics and insights as well as building out a small team as capabilities and demand matures.
Responsibilities
- Data Quality & Governance:
- Monitor and improve data quality across core systems (e.g., portfolio management, risk, and reporting platforms).
- Implement and maintain data governance policies and procedures.
- Conduct root cause analysis of data issues and recommend remediation strategies.
- Data Operations & Mapping:
- Manage and maintain reference and market data (e.g., securities, benchmarks, pricing).
- Develop and maintain data mapping logic across systems and data sources.
- Use SQL and programming tools to transform, validate, and reconcile data across platforms.
- Analytics & Reporting:
- Develop and maintain dashboards and reports to track data quality metrics.
- Provide analytical support to client investment teams, risk managers, and compliance officers.
- Assist in the automation of data validation and reconciliation processes.
- Stakeholder Engagement:
- Liaise with internal stakeholders to understand data requirements and deliver solutions.
- Act as a point of contact for data-related queries and issue resolution.
- Support timely delivery of solution and change initiatives for our clients with accurate and timely data.
Skills & Attributes:
- Excellent analytical and problem-solving skills.
- Experienced working Order Management systems gained from AIM, Charles River or Alladin
- Strong attention to detail and commitment to data accuracy.
- Effective communication and stakeholder management abilities.
- Ability to work independently and as part of a cross-functional team.
- Proactive mindset with a continuous improvement approach.
- Experience across the full data science project lifecycle, including:
Education & Preferred Qualifications
- Bachelor’s degree in Finance, Economics, Computer Science, Data Science, or a related field.
- Experience in data analysis or data management within asset management or financial services.
- Strong understanding of financial instruments (equities, fixed income, derivatives).
- Proficiency in SQL for querying and manipulating large datasets.
- Experience with Python, R, or similar languages for data transformation and automation.
- Familiarity with data visualization tools (e.g., Power BI, Tableau).
- Experience with data management platforms and market data providers (e.g., Bloomberg, Refinitiv).
- Knowledge of data governance frameworks and regulatory requirements (e.g., MiFID II, ESG reporting) is a plus.
