At a Glance
- Tasks: Support data governance and controls remediation for a top-tier banking client.
- Company: Join a leading banking client in the heart of London.
- Benefits: Permanent position with competitive salary and career growth opportunities.
- Other info: Collaborative environment with opportunities for continuous improvement and learning.
- 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 55000 - 65000 £ 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 in London 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 evident through continuous training opportunities and a culture that values diversity and inclusion, ensuring that every team member can contribute meaningfully to our transformation programs. With a focus on data governance and compliance, we provide a unique chance to work on impactful projects that shape the future of banking while enjoying competitive benefits and a supportive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Analyst – Data Governance, Controls & Traceability in London
✨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. Bring examples of your work to showcase your expertise and how you can add value.
✨Tip Number 3
Don’t just apply – engage! When you find a role that excites you, reach out to the hiring manager or recruiter directly through our website. A personal touch can set you apart from the crowd and show your genuine interest in the position.
✨Tip Number 4
Prepare for interviews by diving deep into the company’s values and recent projects. Be ready to discuss how your background in data governance and compliance aligns with their needs. Tailoring your responses can really make a difference!
We think you need these skills to ace Technical Analyst – Data Governance, Controls & Traceability in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Technical Analyst. 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 our needs!
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 perfect fit for this role. Don’t forget to mention any relevant projects or experiences that showcase your skills.
Show Off Your Technical Skills:Since this role requires strong technical abilities, make sure to list your proficiency in Python, SQL, and any other relevant tools like PySpark or AWS S3. We love seeing concrete examples of how you've used these skills in past roles!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Boundaryless
✨Know Your Regulations
Make sure you brush up on key regulations like GDPR, CCPA, and Basel. Being able to discuss how these impact data governance and controls will show that you understand the landscape and can translate policies into technical requirements.
✨Showcase Your Technical Skills
Be prepared to talk about your experience with Python, PySpark, and SQL. Have examples ready that demonstrate your hands-on experience with ETL/ELT pipelines and data quality frameworks. This is your chance to shine!
✨Understand the Remediation Process
Familiarise yourself with the remediation stand-up process, including pods structure and intake processes. Discussing your experience in factory-style remediation models will highlight your ability to contribute effectively from day one.
✨Prepare for Scenario Questions
Expect scenario-based questions where you'll need to demonstrate your problem-solving skills. Think of past experiences where you identified data sourcing gaps or coordinated root-cause analysis, and be ready to explain your approach and outcomes.
