Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Risk & Finance Data Governance Analyst

eFinancialCareers
Greater London
6 days ago
Create job alert

Senior Risk & Finance Dataernance Analyst Are you ready to drive real change in a globally recognised institution? We're seeking a Senior Risk & Finance Dataernance Analyst to join a high-performing EMEA Data Office, as they embark on a data-led transformation journey that's shaping the future of finance.

Senior Risk & Finance Dataernance Analyst

The Opportunity:
This pivotal role sits at the heart of our EMEA BCBS239 Programme, where you will lead the implementation of dataernance across Risk and Finance domains. You'll work with senior stakeholders to establish best-in-class data management practices, supporting our ambition to meet evolving regulatory requirements and embed a culture of openness, transparency, and data-driven innovation.
As a subject matter expert, you'll help influence the data culture-educating and engaging senior stakeholders to champion the importance ofernance in an evolving, highly regulated environment.

Salary: Day Rate £600 Contract Duration: 6 months Hybrid: 2 days office based and 3 days working from home


The Main Duties:

Lead dataernance activities aligned to BCBS239 across Risk & Finance functions Define and manage end-to-end data lineage, quality, andernance for critical use cases Collaborate across business,pliance, and technology teams to shape and embed data standards Actively participate in dataernance forums, contributing to both regulatorypliance and strategic transformation Support data quality investigations and drive root-cause remediation at source Monitor business data changes and leadernance efforts across EMEA entities

Essential Skills:

Deep knowledge of BCBS239, risk and finance data structures, and dataernance best practices Proven experience influencing and engaging senior stakeholders acrossplex organisations Strong working knowledge of data quality, profiling, metadata management, andernance tools (Collibra preferred) Analytical mindset with the ability to challenge constructively and solve problems creatively Experience working in Tier 1/Tier 2 banking, with a solid grasp of regulatory expectations and enterprise data frameworks Confidentmunicator with excellent presentation and stakeholder management skills Proficiency in Excel, Visio, PowerPoint, and understanding of data models (physical, logical, business) Degree educated, ideally in a quantitative field, or equivalent industry experience

Desirable skills:

Experience in ECB onboarding, SQL, Python, Power BI/Tableau, or data engineering Exposure to regulatory frameworks and emerging data management trends


If you're ready to make your mark in a purpose-led organisation driving data excellence and regulatory integrity, we'd love to hear from you.

Job ID BBBH485792

Related Jobs

View all jobs

Risk & Finance Data Governance Analyst - LMA

SVP of Data Architecture - Citi

Manager/Senior Manager - Data Governance - BCBS 239 - Scaling Consultancy

Business Intelligence Analyst (Finance and Governance)

Business Analyst - Credit Risk Data Governance

Business Analyst Credit Risk and Data Governance

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.