At a Glance
- Tasks: Support data governance and controls for a top-tier banking client, ensuring compliance and automation.
- Company: Join a leading financial services firm in a dynamic and collaborative environment.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Other info: Permanent role based in London, requiring on-site presence three days a week.
- 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 - 80000 £ per year.
- 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.
- Role Description
- 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 we 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 Py Spark 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, Urban Code Deploy (UCD), Red Hat Open Shift 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.
- #J-18808-Ljbffr
Technical Analyst – Data Governance, Controls & Traceability employer: Boundaryless Automation
As a leading employer in the financial services sector, we offer a dynamic work environment in 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. Join us to be part of a team that not only drives data governance excellence but also fosters meaningful career development in a top-tier banking context.
We think you need these skills to ace Technical Analyst – Data Governance, Controls & Traceability
Data Governance
Compliance
Controls Remediation
Automation Programs
Python
PySpark
Spark SQL
