Alpha Data Services seeks team player with strong experience and analytics interest in the content and management of data within Order Management systems used for trading and decision support as part of the growth in demand within Alpha Data services and our clients.

State Street is making a multi-year strategic investment in Alpha Data Services, we need a strong Data practitioner to work with internal teams, clients and prospects to ensure our services continue to mitigate the risk of modelling, trading and regulatory reporting errors which could arise from inaccurate data within our platforms as part of our ongoing service delivery team.

We are seeking a detail-oriented and analytical data specialist to join our Data team with experience and knowledge of Asset Management functions and platform content.

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 role is accountable for ensuring that ADS commitments are clearly documented and managed and for managing the risk of delays slippage and communications out to the wider team.

The successful candidate will work within a data operations and governance model, supporting both BAU processes and continuous improvement initiatives to enhance data quality, reduce exceptions, and strengthen platform reliability. This aligns with the ADS mandate to provide data enrichment, validation, and issue remediation across the Alpha Data Platform.

Responsibilities       

Take ownership of the long‑term improvement of content across all data domains, ensuring reference data and configuration continue to support the core functioning of the platform.

• In partnership with Operations and Alpha Data Service teams, ensure robust oversight and objective measurement of services delivered.
• Collaborate across content support analysts, providing mentorship and technical training on CRD and ADP to build cross domain knowledge of the team

Data Quality & Governance

• Monitor, validate, and maintain high-quality reference data across CRD (e.g., securities, issuers, pricing, curves)
• Investigate and resolve data exceptions, discrepancies, and breaks impacting trading and downstream processes
• Perform root cause analysis and drive remediation of recurring data issues
• Support implementation of data quality rules, controls, and governance frameworks

EDM / CRIMS Data Management

• Oversee security master and reference data within Charles River (CRIMS / EDM), including: instrument setup and enrichment; market/broker/settlement data; pricing and curve data; configuration and validation rules.
• Govern execution of BAU data updates, bulk uploads, and configuration changes in line with governance standards.
• Execute thematic data updates, bulk uploads, and configuration changes in line with governance standards

Operational Support

• Leveraging Data insights and Analytics the role requires the Candidate to pro-actively oversee and improve the data delivery and capability, configurations across all clients to build best practice guides and align clients into a consistent and scalable operating model for BAU
• Ensure data is continuously improves in terms of timing and fit for purpose for front office consumption
• Drive automation improvements and process re-engineering to improve operational scalability through incorporation of Agentic AI models and reimagining workflows to reduce operational user need.

Analytics & Reporting

• Work with the Insights & Analytics teams to mature and maintain dashboards and reports to track data availability metrics with regular cadence with End-to-End test teams to ensure they are leveraging them
• Provide support to client EDM Professional Services teams and Model office teams to ensure Model office is tested and managed
• Assist in the automation of data validation and testing practices in Model office

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.

What we value

Skills and competencies

• Strong experience with Order Management Systems such as AIM, Charles River, or Aladdin
• Proven expertise in security master and reference data management
• Solid understanding of front-to-back investment data flows (Front Office, Middle Office, Back Office)
• Hands-on experience in:
  • Data quality management
  • Exception handling and reconciliation
  • Root cause analysis
• Proficient in SQL/ Python and use of AI to generate code to improve data analysis techniques
• Excellent analytical and problem-solving capabilities
• High level of attention to detail with a strong focus on data accuracy
• Effective communication and stakeholder management skills
• Ability to work both independently and collaboratively within cross-functional teams
• Proactive mindset with a strong focus on continuous improvement
• Strong influencing and collaboration skills, with the ability to present information clearly and respond to senior stakeholders, clients, and prospects
• Ability to identify trends and patterns through detailed data analysis
• Skilled in creating clear, impactful data visualisations
• Creative thinker with a practical approach to problem-solving

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.
• 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.
• Strong understanding of financial instruments (equities, fixed income, derivatives).
• Experience with SQL and Python or similar languages for data transformation and automation.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

Discover more information on jobs at StateStreet.com/careers

Read our CEO Statement