Technical Banking Analyst

Boundaryless; Greater London; On-site; GBP 55,000 - 75,000; Full time

Job summary

Boundaryless is looking for an Agentic Technical/Business Analyst to support a Data Governance & Controls program for a major banking client. This role involves translating regulatory policies into development requirements and requires a minimum of three days on-site presence in London.

The ideal candidate will have at least 3 years of experience in data governance, strong skills in Python and SQL, and familiarity with tools such as Tableau and AWS S3. This is a permanent position based in the UK.

Qualifications

• Minimum of 3 years of relevant experience in data governance or compliance.
• Strong proficiency in Python for data engineering and automation.
• Hands-on experience with PySpark and Spark SQL in production environments.
• Advanced SQL skills; experience with Oracle databases.
• Experience supporting Tableau dashboards.

Responsibilities

• Conduct discovery workshops to define scope and policies.
• Produce control specifications and maintain policy-as-code backlog.
• Lead UAT for codified controls; validate automation outcomes.
• Document outcomes and provide audit-ready evidence.

Skills

Python

PySpark

Spark SQL

SQL

Hive

Impala

ETL/ELT pipelines

CI/CD tools

Tableau

AWS S3

Tools

Apache Airflow

Oracle databases

Autosys

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.