Technical Banking Analyst

  • Boundaryless
  • 09/06/2026
Full time Information Technology Telecommunications SQL Oracle Python Business Analyst

Job Description

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.