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# Technical Banking Analyst

- **Company:** Boundaryless LTD
- **Location:** London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon S3, Big Data, Cloudera Impala, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Hadoop Distributed File System, Apache Hive, Python (Programming Language), Nagios, OpenShift, Oracle Databases, Parquet, Sql Optimization, Git, Pyspark, Data Pipelines
- **Published:** August 30, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815447250-technical-banking-analyst

## About the Role

* 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., * 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.

## 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., * 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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