Banking Analyst

Company Description

Boundaryless is a niche consultancy speciialized in intelligent automation and advanced analytics. We transform how organizations work through advanced AI, process automation, and data solutions. We provide solutions and resources supporting organizations in their (digital) transformation.

Boundaryless operates globally, supporting organizations in every aspect of their transformation journey: from starting up a program to deploying solutions  support clients across multiple industries including financial services, healthcare, oil & gas, consumer products, telecom, and manufacturing. We have offices in the United Kingdom, France, Germany, The Netherlands, Switzerland, The United States, India and Sri Lanka.

We are recognixzed as leaders in agentic automation. Our key differentiator is that we make AI and agents work (at enterprise scale). Moreover, we will make AI and agentic work work within the context of client organizations. We do not force a technical solution on you. Instead, we will make things work on your terms. We will deliver powerful business agents ftailored to your people, your processes and your technology.

The role supports one of our top-tier banking clients in London (Canary Wharf) with three days per week on-site presence.

• You will support a data transformation and controls program (regularory remediation).
• Contribute to and maintain the controls gap assessment, supporting prioritization and ensuring closure plans are realistic and tracked.
• Identify data sourcing gaps, coordinate root‑cause discussions, and support agreement of closure plans with business and technology teams.
• Ensure catalogue lineage is populated, with measurable traceability coverage across critical data elements and reporting chains.
• Support delivery of manual controls automation waves, ensuring requirements, testing, evidence capture, and operational readiness.
• Drive delivery of quick‑win remediation waves, ensuring requirements, triage, prioritization, and closure tracking across stakeholders.
• Produce clear documentation and evidence to support UAT sign‑off, audit reviews, and control attestations.
• Ensure traceability from requirement → transformation logic → quality checks → reporting outputs → audit evidence, aligned to remediation governance.

• Minimum 5 years of relevant experience in data analytics, data quality, reporting controls, or data transformation programs (preferably in financial services / Capital Markets).
• Experience working in regulated remediation environments, with exposure to audit evidence, controls testing, and structured governance.
• Strong domain understanding of Capital Markets data and reporting expectations (front‑to‑back awareness is a plus).
• Proficiency in SQL (advanced querying, performance tuning, reconciliation logic).
• Strong proficiency in Python for data analysis and automation (pandas, validation frameworks, scripting).
• Experience supporting or validating ETL/ELT pipelines and data quality frameworks (rules, thresholds, exception handling).
• Working knowledge of scheduling/orchestration tools such as Autosys and/or Apache Airflow (monitoring schedules, reruns, failure triage).
• Experience with CI/CD and release controls (Git, Harness, Urban Code Deploy (UCD), Red Hat Open Shift or equivalent).
• Familiarity with large‑scale storage patterns (e.g., AWS S3) for dataset movement and controls.
• Experience supporting BI/reporting outputs such as Tableau dashboards (data validation, extract refresh checks, reconciliation to source).

• Experience with tools such as PySpark, Spark SQL, Hive, Impala, HDFS, Parquet, and Oracle databases.
• Exposure to data governance concepts: critical data elements (CDEs), lineage, data quality dimensions, audit frameworks.
• Experience running delivery (intake, triage, prioritization, wave planning, pod execution, and reporting).
• Experience working in Agile/Scrum delivery models.
• Knowledge of monitoring/alerting tools for data pipelines and batch operations.
• Familiarity with control frameworks (data controls, attestations, audit readiness) and issue management tooling (e.g., DCRM).
• Familiarity with Visio or equivalent for process, lineage, and control mapping documentation.
• Attention to detail, high level of integrity, and commitment to maintaining confidentiality of sensitive financial information.