At a Glance
- Tasks: Support data governance and controls for a top-tier banking client in London.
- Company: Join a leading financial services firm focused on transformation and compliance.
- Benefits: Permanent position with competitive salary and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on collaboration and continuous improvement.
- Why this job: Make a real impact in data governance while working with cutting-edge technologies.
- Qualifications: 3+ years in data governance, strong Python skills, and experience with data engineering.
The predicted salary is between 60000 - 75000 £ per year.
The Business Analyst / Project Manager will support a transformation program for a top-tier banking client, aligned to an ECB Remediation approach. The Technical Analyst will support a Data Governance & Controls remediation program for a top-tier banking client, aligned to an ECB Remediation operating model.
Support remediation stand-up and ways of working (pods, intake, tooling), helping establish delivery routines, governance, and reporting. Responsible for translating regulatory and governance policies (GDPR, CCPA, HIPAA, Basel, internal security standards) into clear technical requirements and control specifications. Work with Legal, Compliance, Security, Data Platform, and IT teams to define control requirements, maintain remediation backlogs, and track closure. Contribute to and maintain the controls gap assessment, including prioritization, ownership tracking, and closure evidence. Identify data sourcing gaps, coordinate root-cause analysis with SMEs, and document and track the agreed closure plan. Support delivery of manual controls automation waves, ensuring requirements, testing, sign-offs, and operational readiness are complete. Ensure catalogue lineage is populated and traceability coverage is measurable and reported for priority data domains and reporting chains. Engage in process mapping, control specification (decision tables, data contracts, rules), and validating outcomes through UAT and audit documentation. Participate from discovery workshops through implementation and continuous improvement. Ensure traceability from policy - control - implementation - test evidence - audit-ready documentation pack.
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.
Core Skills & Experience
- Minimum 3 years of relevant experience in data governance, compliance, controls, remediation, or automation programs (preferably in financial services).
- Strong proficiency in Python for data engineering and automation.
- Hands-on experience with PySpark and Spark SQL in production environments.
- Solid knowledge of Hive, Impala, HDFS, and Parquet.
- Advanced SQL skills; experience with Oracle databases.
- Experience designing and supporting ETL/ELT pipelines and data quality frameworks (rules, thresholds, exception handling).
- Working knowledge of Autosys and 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 AWS S3 for large-scale data storage and dataset movement patterns.
- Experience supporting Tableau dashboards (data validation, extract refresh checks, reconciliation to source).
Nice-to-Have
- Experience in regulated or enterprise data environments (banking, compliance).
- Exposure to data governance, lineage, controls frameworks, and audit evidence standards.
- Experience working in factory-style remediation models (intake, triage, prioritization, wave planning, pod execution, reporting).
- Experience working in Agile/Scrum delivery models.
- Knowledge of monitoring and alerting tools for data pipelines and batch operations.
Main tasks and responsibilities
- Support remediation stand-up: pods structure, intake process, tooling setup, and delivery routines.
- Conduct discovery workshops to define scope, policies, control expectations, and remediation edge cases.
- Drive delivery of quick-win remediation waves, including triage, tracking, and closure evidence capture.
- Produce control specifications and delivery artefacts (decision tables, data contracts, user stories, acceptance criteria, test cases).
- Maintain remediation backlogs (policy/control requirements) and track lifecycle changes, ownership, and closures.
- Support delivery and reporting of the controls gap assessment (prioritization, dependencies, closure tracking).
- Identify data sourcing gaps, coordinate SME working sessions, and document and track agreed closure plans.
- Support manual controls automation waves by validating requirements, coordinating testing, and ensuring sign-off readiness.
- Ensure catalogue lineage is populated and traceability coverage is measurable and reported.
- Lead/support UAT for codified controls; validate automation outcomes and manage defect triage.
- Produce an audit-ready documentation pack including decision logs, test packs, control mappings, lineage/traceability evidence, and approvals.
- Partner with developers to ensure policy intent is preserved in implementation and outcomes are explainable.
Technical Analyst – Data Governance, Controls & Traceability employer: Boundaryless
As a leading employer in the financial services sector, we offer a dynamic work environment in the heart of Canary Wharf, London, where innovation and collaboration thrive. Our commitment to employee growth is reflected in our comprehensive training programmes and opportunities for advancement within a supportive culture that values diversity and inclusion. Join us to be part of a transformative journey, working on impactful projects that shape the future of banking while enjoying competitive benefits and a vibrant workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Analyst – Data Governance, Controls & Traceability
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the banking and data governance space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! If you’ve got experience with Python, SQL, or any of the tools mentioned in the job description, make sure to highlight that in conversations. Consider creating a portfolio or a GitHub repo showcasing your projects to impress potential employers.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s values and recent projects. Tailor your responses to show how your experience aligns with their needs, especially around data governance and compliance. We want to see that you’re not just a fit on paper but also in spirit!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us. So, hit that apply button and let’s get the conversation started!
We think you need these skills to ace Technical Analyst – Data Governance, Controls & Traceability
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Technical Analyst role. Highlight your experience in data governance, compliance, and automation, especially if you've worked in financial services. We want to see how your skills align with the job description!
Showcase Your Technical Skills:Don’t forget to showcase your technical skills, especially in Python, SQL, and any relevant tools like PySpark or Tableau. We love seeing hands-on experience, so mention specific projects where you’ve used these technologies.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data governance and how your background makes you a great fit for our team. Keep it concise but impactful – we want to feel your enthusiasm!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to track your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Boundaryless
✨Know Your Data Governance Inside Out
Make sure you brush up on your knowledge of data governance frameworks and regulations like GDPR, CCPA, and Basel. Be ready to discuss how you've applied these in past roles, especially in financial services, as this will show your understanding of the industry's compliance landscape.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python, PySpark, and SQL during the interview. You might be asked to solve a technical problem or explain how you've used these tools in previous projects, so have some examples ready that highlight your hands-on experience.
✨Understand the Remediation Process
Familiarise yourself with the remediation stand-up process and how it applies to data governance. Be prepared to discuss your experience with managing backlogs, tracking closure evidence, and working in Agile/Scrum environments, as these are crucial for the role.
✨Engage with Real-World Scenarios
Think of specific scenarios where you've identified data sourcing gaps or conducted root-cause analysis. Be ready to walk through your thought process and the steps you took to resolve issues, as this will demonstrate your problem-solving skills and ability to work collaboratively with SMEs.
