Business / Data Analyst

Robert WaltersLondonreedpublished 09/30/2026
Must-have:PythonDataSeniorLead

We are seeking a talented individual to join the Risk Management division on a temporary basis. This is an exciting opportunity to work at the intersection of business and technology, contributing to transformative projects that shape the future of data architecture and reporting capabilities within a leading investment bank. The Role As a Business and Data Analyst , you will lead and support analysis, design, and delivery activities for strategic data initiatives, with a particular focus on the Head Office Data Lake programme. This role requires strong business analysis skills, hands-on data analysis expertise (e.g., SQL, Python), and the ability to bridge the gap between business needs and technical solutions. You will collaborate with stakeholders across Risk, Finance, Front Office, Operations, Technology, and Head Office teams to: Analyse business requirements. Assess data quality. Define target-state processes. Develop reporting solutions. This position offers exposure to high-impact regulatory, risk management, finance, and management information initiatives while helping establish robust data governance practices. Key Responsibilities Data Analysis & Solution Design Conduct detailed analysis of complex datasets using tools like SQL and Python. Gather, document, and validate business requirements against source data. Design solutions aligned with strategic architecture from process, system, and data perspectives. Prototype solutions where required. Stakeholder & Project Management Engage with multiple stakeholders to elicit, challenge, negotiate, and agree on business/data requirements. Support project planning by working with Technology teams on cost/timeline estimates. Coordinate working groups/workshops as needed. Maintain RAID logs (Risks, Assumptions, Issues, Dependencies). Governance & Reporting Prepare materials for steering/governance committees. Chair meetings and ensure alignment across teams on project objectives. Preferred Qualifications & Experience Experience: Degree or equivalent qualification; further professional certifications are advantageous. Proven experience in Financial Services change-related roles with a focus on Risk processes or systems implementation. Exposure to Credit Risk or Market Risk is beneficial but not essential. Technical Skills: Strong proficiency in SQL and Python for data analysis. Familiarity with third-party vendor systems (e.g., FIS Credit Risk Manager, Moody's Risk Frontier) is advantageous but not mandatory. Understanding of Global Markets businesses/products or operations processes (e.g., collateral management) is desirable. Soft Skills: Exceptional stakeholder management skills across varying levels of seniority. Strong analytical mindset with attention to detail. Excellent written/oral communication skills and documentation abilities (MS Office proficiency). Personal Attributes We're looking for someone who is: A self-starter with excellent organisational skills. Pragmatic yet results-oriented with a client-focused mindset. Resilient under pressure with the ability to navigate complexity and ambiguity effectively. Why Join Us? This role offers: The chance to work on high-profile strategic programmes like the Head Office Data Lake initiative aimed at improving data accessibility and consistency across the organisation. Opportunities to engage directly with senior stakeholders across multiple functions such as Risk Management, Finance, Front Office, Operations, Technology, etc. A platform to contribute meaningfully towards shaping robust data governance practices within a leading financial institution operating in global markets.

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