Commitment Control & Support Data Analyst

Commitment Control & Support Data Analyst 2

London, United Kingdom

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Who we're looking for

This team is part of Platform Control and Support which serves as a single-entry point for impact assessment and platform change. Within this function the Commitment Control & Support team is responsible for ensuring robust control and oversight of all mandate and investment management related commitments across our platforms. Supporting the effective assessment, management, and governance of commitments arising from regulatory, legal, and operational requirements.

The team prioritises client experience, risk reduction and efficiency, maximising reuse of platform capabilities and driving standardisation.

The team develops automated tools to optimise the capture and maintenance of all types of commitments, mandate changes, parameter updates, and operational process controls. They play an important role in risk reduction and keeping central records accurate. By regularly reporting insights and risks, they help keep stakeholders up to date and guide improvements to platform operations.

The role requires close collaboration within the Platform Control and Support functions and with other teams such as Legal, Compliance, Platform Services, and Investment to support at scale commitments capture and fulfilment are accurately captured, fulfilled and risks are evaluated early to improve how events are handled.

Finally, the team promotes innovation by introducing new technologies, such as artificial intelligence, and by sharing best practices in data analysis throughout Platform Control & Support.

What you'll do

• Work within a team of analysts responsible for mandate commitment capture, control implementation, governance and query resolution.
• Ensure data quality and integration to maintain accuracy and integrity of mandate and commitment data across central records.
• Work with various internal API’s & external (Aladdin) API’s while working within the Schroders technology estate.
• Work in Python or other tools (code / low code) to perform more complex analysis of datasets and design workflows, while collaborating with various global teams, to optimise processes.
• Drive innovation by embedding artificial intelligence, automation, and emerging technologies into the platform.
• Foster a data-driven culture by sharing analytical best practices and supporting skills development across Platform Control & Support.
• Aid delivery of mandate commitment control activities appropriate for your level of experience.
• Deliver clear, insightful reporting and visualisation to stakeholders, highlighting key trends, risks, and efficiency improvements.
• Work with Investment desks / Product / Client Executives across all asset classes on mandate commitment related matters and issues.
• Assist to ensure tasks and audit/regulator/client queries are completed in accordance with procedures and delivered within agreed service levels.
• Resolve queries received and deliver tasks to high standard of quality and in a timely manner, continuously ensuring a robust and efficient control environment. Ensure any missed deadlines are communicated and recorded appropriately.
• Conduct initial and detailed impact assessment of commitment, support source document processing, identification, capture and fulfilment of commitments. These will be sourced from IMAs, regulations or internal teams etc.

The knowledge, experience and qualifications you need

• Strong Analytical
  
  Skills:
  
  Ability to interpret complex data sets and provide actionable insights relevant to financial services and investment portfolios.
• Technical Proficiency:Skilled in SQL, Python, transformation, analysis, and automation. Familiarity with API’s and the ability to pull / push data from / to APIs. Familiarity with Microsoft GRAPH APIs is a plus. Knowledge and experience working with LLM’s to design and develop processes.
• Data Engineering familiarity:Understanding of data pipeline construction, ETL processes. Understanding of Software development life cycle (SDLC). Analyse data and workflows can help improve processes and enhance the efficiency of processes.
• Data Visualisation:Proficient in…