Boundaryless

Role Description The Business Analyst / Project Manager will support a transformation program for a top-tier banking client, aligned to an ECB Remediation operating model. Support the remediation stand-up and operating model (pods, intake, tooling) and establish delivery routines and governance. Build strong relationships with stakeholders, serving as the primary point of contact for escalations, decisions, and issue resolution. Drive key program initiatives in close partnership with the business, ensuring delivery discipline across remediation waves. Responsible for driving delivery from discovery through implementation, ensuring business outcomes, stakeholder alignment, and execution discipline. Lead workshops to capture remediation requirements, scope, edge cases, control expectations, and operating model impacts. Translate business needs into clear delivery artefacts (user stories, process maps, BRDs/FRDs, acceptance criteria, test cases) and manage prioritization with stakeholders. Drive delivery of quick-win remediation waves, ensuring requirements, triage, prioritization, and closure tracking. Coordinate and maintain the controls gap assessment, supporting prioritization, ownership, and closure tracking across stakeholders. Identify data sourcing gaps and coordinate agreement of closure plans with business, data, and technology teams. Support delivery of manual controls automation waves, ensuring requirements, testing, sign-offs, and operational readiness. Ensure catalogue lineage is populated and traceability coverage is measurable and reported for priority areas. Plan and track delivery milestones, RAID (Risks, Assumptions, Issues, Dependencies), and progress reporting for internal and client governance forums. Work closely with Technology, Data, Operations, Risk, Compliance, and Security stakeholders to ensure solutions meet policy and control expectations. Coordinate UAT planning and execution; support go-live readiness and post-release stabilization. Ensure delivery produces an audit-ready documentation pack (decision logs, test evidence, control mappings, traceability, and sign-offs). Drive continuous improvement by identifying gaps, removing blockers, and improving delivery ways-of-working. 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. Core Skills & Experience Minimum 8 years of experience as a Business Analyst and/or Project Manager within banking or financial services. Strong understanding of banking operations and change delivery (front-to-back processes, controls, governance, and/or regulatory change). Proven experience running discovery workshops, managing stakeholders, and translating complex needs into actionable delivery artefacts. Strong delivery management capability: planning, tracking, reporting, and driving outcomes across multiple workstreams/pods. Experience working with cross-functional teams (Operations, Technology, Data, Risk, Compliance, Finance). Comfortable working in fast-paced, regulated environments with structured governance and audit expectations. Excellent communication skills (written and verbal) and strong documentation standards. Delivery & Methodology Experience working in Agile/Scrum, Waterfall, or hybrid delivery models. Strong knowledge of typical BA/PM artefacts: process flows, user stories, requirements traceability, decision logs, RAID logs, test packs, and go-live checklists. Experience coordinating UAT end-to-end (test approach, test cases, execution support, defect triage, sign-off). Experience working in a factory-style model (intake, triage, prioritization, wave planning, and reporting) is a strong plus. Nice-to-Have (Data Experience) Exposure to data-driven programs (data transformation, reporting, controls, data quality, lineage). Ability to work with data teams and understand basic concepts such as source-to-target mapping, reconciliation checks, lineage coverage, and reporting dependencies. Basic SQL literacy (able to query/validate data or understand query outputs) is a plus, not mandatory. Experience supporting operational or regulatory reporting processes is beneficial. Main tasks and responsibilities Conduct discovery workshops to define scope, stakeholders, business outcomes, and edge cases. Support remediation stand-up: pods model, intake process, tooling usage, and delivery routines. Conduct discovery workshops to define scope, stakeholders, business outcomes, remediation edge cases, and control expectations. Produce key artefacts: process maps, user stories, acceptance criteria, decision tables (where needed), and test cases. Drive delivery of quick-win remediation waves and track closure evidence. Maintain and report the controls gap assessment (prioritization, ownership, closure tracking, dependencies). Identify data sourcing gaps, coordinate SME sessions, and document and track the agreed closure plan. Support manual controls automation waves by defining requirements, coordinating testing, and ensuring sign-off readiness. Ensure catalogue lineage is populated and traceability coverage is measurable and reported. Manage the delivery plan and backlog; drive prioritization and ensure alignment with remediation goals. Track and manage RAID; escalate blockers and coordinate resolution across teams. Facilitate governance routines: daily stand-ups, sprint ceremonies, stakeholder check-ins, and steering updates. Lead UAT preparation and execution; coordinate defect triage and ensure sign-off readiness. Support implementation planning, cutover readiness, and post-go-live stabilization. Maintain traceability from requirements -> delivery -> testing -> sign-off -> evidence. Produce an audit-ready documentation pack including decision logs, test packs, control mappings, traceability evidence, and approvals.

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.

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.

Boundaryless is seeking a Backend Developer to design and build production-ready Python services. This role focuses on LLM and Generative AI integration, requiring strong expertise in building APIs and backend systems. Located in Canary Wharf, London, the position demands at least three days on-site presence. Applicants must have over 4 years of experience in Python development and be eligible to work in the UK.

Boundaryless is looking for a Techno-Functional Business Analyst to support a banking Data Quality program in London (Canary Wharf). The role requires at least 5 years of relevant experience, proficiency in SQL and Python, and strong stakeholder management skills. This permanent position mandates a minimum of three days on-site attendance. The candidate will work across different teams to ensure regulatory alignment and produce audit-ready documentation.

Boundaryless is seeking a Business Analyst / Project Manager to support a crucial transformation program for a top-tier banking client based in Canary Wharf, London. The role entails extensive on-site collaboration, requiring a minimum of three days presence each week. The ideal candidate will possess at least three years of relevant experience in data governance, compliance, and automation, coupled with proficiency in Python and SQL. You will be integral to the project, managing delivery routines while maintaining regulatory compliance.

Role Description The Technical Analyst - Data Lineage will support a Data Governance, Controls, and Reporting program for a top-tier banking client. Responsible for establishing and validating end-to-end lineage across critical datasets used in operational and regulatory reporting. Translate governance and reporting requirements into actionable lineage deliverables (source-to-target mapping, lineage diagrams, metadata standards, and audit evidence). Work with Data Platform, Data Engineering, Architecture, Risk, Compliance, and Security teams to define lineage standards, metadata capture, and control points. Maintain lineage artifacts for Critical Data Elements (CDEs), key reports, and priority data products. Support control design to ensure traceability from source systems transformations curated layers consumption (dashboards/reports/APIs). Actively participate from discovery workshops through to implementation and continuous improvement. Ensure traceability from data definition transformation logic lineage evidence audit readiness. 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 experience in data analytics, data quality, reporting controls, or data transformation programs (preferably in financial services). Core Skills & Experience Minimum 3 years of relevant experience in data governance, lineage, metadata management, or controls programs within finance/banking. Strong understanding of data lineage concepts: technical lineage, business lineage, column-level lineage, impact analysis, and provenance. Hands on experience with data lineage / metadata tooling in enterprise environments (e.g., Collibra, Alation, Informatica EDC/IDMC, IBM Infosphere, Microsoft Purview, Apache Atlas, Amundsen, DataHub or similar). Proven ability to build lineage for complex platforms: data lakes, warehouses, marts, and distributed processing (Spark based pipelines). Strong proficiency in SQL for tracing transformations and validating mappings across layers. Working knowledge of ETL/ELT patterns, data modeling (dimensional + normalized), and batch scheduling dependencies. Ability to interpret data transformation logic from pipelines (Spark SQL / PySpark / Hive queries / orchestration configs). Strong documentation capability: source to target mappings, lineage diagrams, data dictionaries, metadata standards, and control evidence packs. Technical Skills Strong proficiency in Python (data analysis/automation for metadata extraction, validation scripts, rule checks). 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 is preferred. 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. Exposure to Tableau (understanding data sources, extracts, dependencies) is a plus. Nice-to-Have Experience with regulatory reporting data domains (risk, liquidity, capital, finance, BCBS 239 alignment, etc.). Knowledge of data governance operating models: CDEs, data ownership, stewardship, data quality dimensions. Experience creating audit ready documentation and participating in audit walkthroughs. Experience working in Agile/Scrum delivery models. Familiarity with monitoring and alerting tools for data pipelines. Experience Requirements & Qualifications Conduct discovery workshops to identify priority reports, data products, and Critical Data Elements (CDEs). Build and maintain end-to-end lineage across systems, including column level mappings where required. Produce and maintain Source-to-Target Mapping (STTM) documentation and metadata standards. Validate lineage accuracy by tracing logic through SQL/Spark transformations and pipeline configurations. Support impact analysis for proposed changes (upstream/downstream dependencies, report impact, control impact). Partner with engineers and platform teams to improve metadata capture and lineage automation (where possible). Define lineage related control points and produce audit ready evidence (diagrams, mappings, query proofs, run evidence). Support UAT by validating that reported numbers can be traced and explained back to trusted sources. Maintain the lineage backlog and track changes across releases to ensure artifacts remain current.

Boundaryless is seeking a Technical Analyst - Data Lineage to support critical data governance and reporting for a top-tier banking client in London. The role requires at least three days on-site attendance, focusing on building and validating data lineage across key datasets. The ideal candidate will have a strong background in data governance, experience with data lineage tooling, and technical proficiency in SQL and Python. This is a permanent position, and applicants must be eligible to work in the UK.

Role Description The Techno-Functional Business Analyst will support a banking Data Quality / Data Under Governance program aligned to the proven UK DQP approach (PRA) and now being replicated across ECB and India regulatory asks. Support delivery across the five workstreams: CDE Identification (CDE inventory, definitions, ownership, scope by legal entity) SOR Allocation (authoritative source mapping, SoR/AR alignment, data contracts) Controls Mapping (control design, thresholds, risk appetite alignment, evidence requirements) Data Lineage (traceability across systems, transformation chains, endpoints/reporting) Operating Model (DCRM workflow, exception management, governance routines, reporting) Work with Markets, Risk, Finance, Operations, Technology, Data Platform, and Governance teams to drive outcomes and ensure regulatory alignment. Translate regulatory expectations into clear requirements and executable delivery artefacts (user stories, decision tables, STTMs, test packs). Ensure traceability from policy/regulatory expectation to CDE to SOR/AR to controls to lineage to exception management to audit evidence. Support validation readiness by producing clear, audit-ready documentation and evidence packs. 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 Core Experience Minimum 5 years of relevant experience in data governance, data quality, reporting controls, or data transformation programs (preferably in financial services / Capital Markets). Proven experience delivering governance-led programs involving CDEs, SOR/authoritative sources, controls, and lineage. Experience working in regulated remediation / regulatory delivery environments with exposure to validation, audit evidence, and structured governance. Strong stakeholder management across business, operations, technology, and governance functions. Domain Knowledge Strong understanding of Capital Markets and Finance data domains (front-to-back awareness is a plus). Familiarity with risk appetite concepts as applied to data quality thresholds and control exceptions. Technical / Analytical Skills Proficiency in SQL (advanced querying, reconciliation logic, data validation). 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). Exposure to lineage and metadata approaches; ability to validate transformations and trace data across platforms. Tooling / Delivery Methods 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, UrbanCode Deploy (UCD), Red Hat OpenShift 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). Nice-to-Have Experience with tools such as PySpark, Spark SQL, Hive, Impala, HDFS, Parquet, and Oracle databases. Hands-on exposure to DCRM tooling and operational exception management processes. Experience with governance/catalog tools and lineage documentation methods (Collibra/Alation/Informatica EDC/Purview or similar). Experience running delivery routines across workstreams (intake, triage, prioritization, wave planning, reporting). Experience working in Agile/Scrum delivery models. Familiarity with Visio (or equivalent) for lineage, control mapping, and operating model workflows. Main tasks and responsibilities Run discovery workshops to confirm scope by legal entity, regulatory asks, priority datasets, and key stakeholders. Build and maintain CDE inventory: definitions, ownership, criticality, and mapping to reports/processes. Support SOR / Authoritative Source allocation: document authoritative sources, data contracts, and key dependencies. Define and maintain controls mapping: control points on SOR, AR, and endpoints; thresholds aligned to risk appetite; evidence requirements. Support data lineage creation/validation: source-to-endpoint traceability, transformation logic validation, and coverage reporting. Define and embed the operating model: exception workflows, DCRM lifecycle, triage routines, governance reporting, and closure evidence. Perform data profiling and reconciliation checks to support control design and validation readiness. Lead/support UAT and validation activities; coordinate defect triage and ensure sign-off evidence is complete. Produce an audit-ready documentation pack: lineage evidence, controls evidence, test packs, decision logs, and explainable outcomes. Track and communicate risks, dependencies, and changes impacting regulatory delivery outcomes through governance forums.

Role Description The Business Analyst / Project Manager will support a transformation program for a top-tier banking client, aligned to an ECB Remediation approach. The Technical Analyst will support a Data Governance & Controls remediation program for a top-tier banking client, aligned to an ECB Remediation operating model. Support remediation stand-up and ways of working (pods, intake, tooling), helping establish delivery routines, governance, and reporting. Responsible for translating regulatory and governance policies (GDPR, CCPA, HIPAA, Basel, internal security standards) into clear technical requirements and control specifications. Work with Legal, Compliance, Security, Data Platform, and IT teams to define control requirements, maintain remediation backlogs, and track closure. Contribute to and maintain the controls gap assessment, including prioritization, ownership tracking, and closure evidence. Identify data sourcing gaps, coordinate root cause analysis with SMEs, and document and track the agreed closure plan. Support delivery of manual controls automation waves, ensuring requirements, testing, sign offs, and operational readiness are complete. Ensure catalogue lineage is populated and traceability coverage is measurable and reported for priority data domains and reporting chains. Engage in process mapping, control specification (decision tables, data contracts, rules), and validating outcomes through UAT and audit documentation. Participate from discovery workshops through implementation and continuous improvement. Ensure traceability from policy - control - implementation - test evidence - audit ready documentation pack. 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. Core Skills & Experience Minimum 3 years of relevant experience in data governance, compliance, controls, remediation, or automation programs (preferably in financial services). 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 (rules, thresholds, exception handling). Working knowledge of Autosys and Apache Airflow (monitoring schedules, reruns, failure triage). Experience with CI/CD and release controls (Git, Harness, UrbanCode Deploy (UCD), Red Hat OpenShift or equivalent). Familiarity with AWS S3 for large scale data storage and dataset movement patterns. Experience supporting Tableau dashboards (data validation, extract refresh checks, reconciliation to source). Nice to Have Experience in regulated or enterprise data environments (banking, compliance). Exposure to data governance, lineage, controls frameworks, and audit evidence standards. Experience working in factory style remediation models (intake, triage, prioritization, wave planning, pod execution, reporting). Experience working in Agile/Scrum delivery models. Knowledge of monitoring and alerting tools for data pipelines and batch operations. Main tasks and responsibilities Support remediation stand up: pods structure, intake process, tooling setup, and delivery routines. Support remediation stand up: pods model, intake process, tooling usage, and delivery routines. Conduct discovery workshops to define scope, policies, control expectations, and remediation edge cases. Drive delivery of quick win remediation waves, including triage, tracking, and closure evidence capture. Produce control specifications and delivery artefacts (decision tables, data contracts, user stories, acceptance criteria, test cases). Maintain remediation backlogs (policy/control requirements) and track lifecycle changes, ownership, and closures. Support delivery and reporting of the controls gap assessment (prioritization, dependencies, closure tracking). Identify data sourcing gaps, coordinate SME working sessions, and document and track agreed closure plans. Support manual controls automation waves by validating requirements, coordinating testing, and ensuring sign off readiness. Ensure catalogue lineage is populated and traceability coverage is measurable and reported. Lead/support UAT for codified controls; validate automation outcomes and manage defect triage. Produce an audit ready documentation pack including decision logs, test packs, control mappings, lineage/traceability evidence, and approvals. Partner with developers to ensure policy intent is preserved in implementation and outcomes are explainable.