Technical Banking Analyst

Role Description

• The Agentic Technical/Business Analyst will support a Data Governance & Controls program for a top-tier banking client.
• Responsible for translating regulatory and governance policies (GDPR, CCPA, HIPAA, Basel, internal security standards) into clear development requirements.
• Work with Legal, Compliance, Security, Data Platform, and IT teams to define policy-as-code specifications and maintain the governance backlog.
• Engage in process mapping, control specification (decision tables, data contracts, rules), and validating codified outcomes through UAT and audit documentation.
• Actively participate from discovery workshops through to implementation and continuous improvement.
• Ensure traceability from policy → control → audit evidence.

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

• Minimum 3 years of relevant in data governance, compliance, or automation programs.
• 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 .
• Working knowledge of Autosys& Apache Airflow
• Experience with CI/CD tools (Git, Harness, UrbanCode Deploy (UCD), Red Hat OpenShift)
• Familiarity with AWS S3 for large-scale data storage.
• Experience supporting Tableau dashboards.

Nice-to-Have

• Experience in regulated or enterprise data environments (banking, compliance).
• Exposure to data governance, lineage, and audit frameworks.
• Experience working in Agile/Scrum delivery models.
• Knowledge of monitoring and alerting tools for data pipelines.

Main tasks and responsibilities

• Conduct discovery workshops to define scope, policies, and edge cases.
• Produce control specifications (decision tables, user stories, test cases).
• Maintain the policy-as-code backlog and track lifecycle changes.
• Lead UAT for codified controls; validate automation outcomes.
• Document explainable outcomes and provide audit-ready evidence.
• Partner with developers to ensure policy intent is preserved in implementation.

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