Company Introduction

Boundaryless is a boutique consulting firm, providing clients with deep expertise in advanced analytics & data forensics, agentic automation, and Artificial Intelligence solutions. We operate around the world, with offices in 7 countries: United Kingdom, France, The Netherlands, Switzerland, India, Sri Lanka, and the USA.

Boundaryless is an equal opportunity employer.

While we apply high standards to the experts we hire and the work we deliver, we also strive for diversity. Our team is a living example of this, with 13 nationalities and 50% female employees.

Due to the growing demand from financial services organizations for automation services supporting data transformation and agentic process automation, open positions for Business Analysts who understand operational and regulatory reporting processes in (investment) banking.

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.

Your application

If you feel you fit this profile, please apply via

Please send your CV as well as an overview of automation projects you have delivered.