At a Glance
- Tasks: Support data quality and governance in a dynamic banking environment.
- Company: Join a top-tier banking client in the heart of London.
- Benefits: Permanent position with competitive salary and career growth opportunities.
- Other info: Collaborative team environment with exposure to diverse financial services.
- Why this job: Make a real impact on regulatory compliance and data governance.
- Qualifications: 5+ years in data governance, strong SQL and Python skills required.
The predicted salary is between 60000 - 75000 £ per year.
The Techno-Functional Business Analyst will support a banking Data Quality / Data Under Governance program aligned to the proven UK DQP approach (PRA) and now being replicated across ECB and India regulatory asks. Support delivery across the five workstreams:
- CDE Identification (CDE inventory, definitions, ownership, scope by legal entity)
- SOR Allocation (authoritative source mapping, SoR/AR alignment, data contracts)
- Controls Mapping (control design, thresholds, risk appetite alignment, evidence requirements)
- Data Lineage (traceability across systems, transformation chains, endpoints/reporting)
- Operating Model (DCRM workflow, exception management, governance routines, reporting)
Work with Markets, Risk, Finance, Operations, Technology, Data Platform, and Governance teams to drive outcomes and ensure regulatory alignment. Translate regulatory expectations into clear requirements and executable delivery artefacts (user stories, decision tables, STTMs, test packs). Ensure traceability from policy/regulatory expectation to CDE to SOR/AR to controls to lineage to exception management to audit evidence. Support validation readiness by producing clear, audit-ready documentation and evidence packs.
Location: The role supports one of our top-tier banking clients in London (Canary Wharf) and requires a minimum of three days on-site presence. This is a permanent position based in the UK. We will only consider applicants who are eligible to work in the UK. For this role do NOT offer visa sponsorship.
Experience Requirements & Qualifications
Core Experience
- Minimum 5 years of relevant experience in data governance, data quality, reporting controls, or data transformation programs (preferably in financial services / Capital Markets).
- Proven experience delivering governance-led programs involving CDEs, SOR/authoritative sources, controls, and lineage.
- Experience working in regulated remediation / regulatory delivery environments with exposure to validation, audit evidence, and structured governance.
- Strong stakeholder management across business, operations, technology, and governance functions.
Domain Knowledge
- Strong understanding of Capital Markets and Finance data domains (front-to-back awareness is a plus).
- Familiarity with risk appetite concepts as applied to data quality thresholds and control exceptions.
Technical / Analytical Skills
- Proficiency in SQL (advanced querying, reconciliation logic, data validation).
- Strong proficiency in Python for data analysis and automation (pandas, validation frameworks, scripting).
- Experience supporting or validating ETL/ELT pipelines and data quality frameworks (rules, thresholds, exception handling).
- Exposure to lineage and metadata approaches; ability to validate transformations and trace data across platforms.
Tooling / Delivery Methods
- Working knowledge of scheduling/orchestration tools such as Autosys and/or Apache Airflow (monitoring schedules, reruns, failure triage).
- Experience with CI/CD and release controls (Git, Harness, UrbanCode Deploy (UCD), Red Hat OpenShift or equivalent).
- Familiarity with large-scale storage patterns (e.g., AWS S3) for dataset movement and controls.
- Experience supporting BI/reporting outputs such as Tableau dashboards (data validation, extract refresh checks, reconciliation to source).
Nice-to-Have
- Experience with tools such as PySpark, Spark SQL, Hive, Impala, HDFS, Parquet, and Oracle databases.
- Hands-on exposure to DCRM tooling and operational exception management processes.
- Experience with governance/catalog tools and lineage documentation methods (Collibra/Alation/Informatica EDC/Purview or similar).
- Experience running delivery routines across workstreams (intake, triage, prioritization, wave planning, reporting).
- Experience working in Agile/Scrum delivery models.
- Familiarity with Visio (or equivalent) for lineage, control mapping, and operating model workflows.
Main tasks and responsibilities
- Run discovery workshops to confirm scope by legal entity, regulatory asks, priority datasets, and key stakeholders.
- Build and maintain CDE inventory: definitions, ownership, criticality, and mapping to reports/processes.
- Support SOR / Authoritative Source allocation: document authoritative sources, data contracts, and key dependencies.
- Define and maintain controls mapping: control points on SOR, AR, and endpoints; thresholds aligned to risk appetite; evidence requirements.
- Support data lineage creation/validation: source-to-endpoint traceability, transformation logic validation, and coverage reporting.
- Define and embed the operating model: exception workflows, DCRM lifecycle, triage routines, governance reporting, and closure evidence.
- Perform data profiling and reconciliation checks to support control design and validation readiness.
- Lead/support UAT and validation activities; coordinate defect triage and ensure sign-off evidence is complete.
- Produce an audit-ready documentation pack: lineage evidence, controls evidence, test packs, decision logs, and explainable outcomes.
- Track and communicate risks, dependencies, and changes impacting regulatory delivery outcomes through governance forums.
Banking Data Quality Analyst employer: Boundaryless
As a leading employer in the financial services sector, we offer our Banking Data Quality Analysts a dynamic work environment in the heart of Canary Wharf, London. Our commitment to employee growth is reflected in our robust training programmes and opportunities for career advancement, while our collaborative culture fosters innovation and teamwork. With a focus on regulatory excellence and data governance, you will play a pivotal role in shaping the future of banking data quality, all while enjoying the vibrant atmosphere of one of London's most prestigious business districts.
StudySmarter Expert Advice🤫
We think this is how you could land Banking Data Quality Analyst
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the banking and data quality space. Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Since this role requires SQL and Python proficiency, make sure you can talk through your experience and even solve some problems on the spot. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 3
Showcase your understanding of regulatory environments and data governance during interviews. Be ready to discuss how you've navigated similar challenges in past roles. This will demonstrate that you’re not just a tech whiz but also someone who gets the bigger picture.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job. Plus, it shows you’re genuinely interested in working with us. So, get your application in and let’s make it happen!
We think you need these skills to ace Banking Data Quality Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Banking Data Quality Analyst role. Highlight your experience in data governance and quality, especially in financial services. We want to see how your skills align with the job description!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific experiences that relate to the responsibilities listed in the job description. We love a good story!
Showcase Your Technical Skills:Don’t forget to highlight your technical skills, especially in SQL and Python. If you’ve worked with tools like Apache Airflow or Tableau, make sure to mention that too. We’re looking for someone who can hit the ground running!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Boundaryless
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data governance and quality, especially in the context of financial services. Be ready to discuss your experience with CDEs, SORs, and controls mapping, as these are crucial for the role.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in SQL and Python during the interview. You might be asked to solve a problem or explain how you've used these tools in past projects, so have some examples ready that highlight your analytical skills.
✨Understand Regulatory Requirements
Familiarise yourself with the regulatory landscape relevant to the banking sector, particularly around data quality and governance. Being able to translate these requirements into actionable tasks will impress your interviewers.
✨Engage with Stakeholders
Highlight your experience in stakeholder management. Be prepared to discuss how you've collaborated with various teams like Risk, Finance, and Technology to drive outcomes. This shows you can work effectively across different functions.
