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- Tasks: Support data transformation for top-tier banking clients and ensure data quality.
- Company: Boundaryless, a global consulting firm with a diverse team and innovative solutions.
- Benefits: Permanent position in London with opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the financial services sector.
- Qualifications: 5+ years in data analytics, strong SQL and Python skills required.
- Other info: Work in a collaborative environment with a focus on diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
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 are available. Capital Markets knowledge and Finance experience are key components for this role.
The Technical Data Analyst will support a data transformation and controls program for a top-tier banking client. Responsibilities include:
- Translating business requirements into technical specifications.
- Analyzing, validating, and reconciling large-scale datasets used for operational and regulatory reporting.
- Working across IT teams to define data requirements, quality rules, and controls for critical data elements.
- Facilitating the UK issue remediation process by hosting and facilitating conference calls amongst SMEs required to drive items to closure.
- Tracking, adjudication, and reporting of Data Quality issues.
- Working with team members on topics including data profiling, lineage validation, source-to-target mapping, and root-cause analysis for data issues.
- Producing clear documentation and evidence to support UAT sign-off, audit reviews, and control attestations.
- Ensuring traceability from data requirement → transformation logic → quality checks → reporting outputs → audit evidence.
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, we do NOT offer visa sponsorship.
Experience Requirements & Qualifications
- Minimum 5 years of relevant experience in data analytics, data quality, reporting controls, or data transformation programs (preferably in financial services).
- Proficiency in SQL (advanced querying, performance tuning, reconciliation logic).
- Strong proficiency in Python for data analysis and automation (pandas, data validation frameworks, scripting).
- Experience supporting or validating ETL/ELT pipelines and data quality frameworks (rules, thresholds, exception handling).
- Working knowledge of Autosys & Apache Airflow (monitoring schedules, reruns, failure triage).
- Experience with CI/CD tools (Git, Harness, UrbanCode Deploy (UCD), Red Hat OpenShift).
- 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 with tools including PySpark, Spark SQL, Hive, Impala, HDFS, Parquet, and Oracle databases.
- Experience in regulated or enterprise data environments (investment banking, risk, finance, compliance).
- Exposure to data governance concepts: critical data elements (CDEs), lineage, data quality dimensions, audit frameworks.
- Experience working in Agile/Scrum delivery models.
- Knowledge of monitoring/alerting tools for data pipelines and batch operations.
- Familiarity with regulatory reporting domains or control frameworks (data controls, attestations, audit readiness).
- Familiarity with Visio, as well as DCRM tools to manage, document and monitor data quality issues.
Main tasks and responsibilities
- Conduct discovery sessions to understand reporting objectives, key datasets, and edge cases.
- Perform data profiling and produce findings on completeness, accuracy, consistency, and timeliness.
- Design and execute reconciliation checks (source vs target, pre vs post transformation, report vs underlying data).
- Support creation of data requirements artifacts (data dictionaries, source-to-target mapping support, business rules, quality rules).
- Define and maintain data quality checks, exception logs, and analysis on recurring defects.
- Lead/Support UAT activities for reporting and controls; validate outcomes and document evidence.
- Produce audit-ready documentation: test packs, control evidence, runbooks, and explainable results.
- Partner with engineers to troubleshoot data issues and ensure analytical intent is preserved in implementation.
- Track and communicate risks, dependencies, and changes impacting reporting and control outcomes.
If you feel you fit this profile, please apply via careers@boundaryless.com. Please send your CV as well as an overview of automation projects you have delivered.
Experienced “Techno-Functional” Business Analyst (Data Transformation, Capital Markets) in Epping employer: Boundaryless Ltd
Contact Detail:
Boundaryless Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Experienced “Techno-Functional” Business Analyst (Data Transformation, Capital Markets) in Epping
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at Boundaryless or similar firms. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Make sure you're comfortable discussing SQL, Python, and data quality frameworks. We want to see you shine when it comes to those key components!
✨Tip Number 3
Showcase your experience with real-world examples. When discussing your past projects, focus on how you tackled data transformation challenges and what impact your work had on reporting outcomes. We love seeing results!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re always on the lookout for passionate candidates who fit our diverse team.
We think you need these skills to ace Experienced “Techno-Functional” Business Analyst (Data Transformation, Capital Markets) in Epping
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in data analytics and capital markets. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Showcase Your Technical Skills: Since this role requires proficiency in SQL and Python, make sure to include specific examples of how you've used these tools in your previous roles. We love seeing concrete evidence of your technical prowess!
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Boundaryless Ltd
✨Know Your Data Inside Out
Make sure you brush up on your data analytics skills, especially SQL and Python. Be prepared to discuss specific projects where you've used these tools, particularly in the context of data transformation and quality checks.
✨Understand the Financial Landscape
Familiarise yourself with capital markets and regulatory reporting processes. Being able to speak knowledgeably about these topics will show that you understand the industry and can contribute effectively from day one.
✨Prepare for Technical Questions
Expect to be asked about your experience with ETL/ELT pipelines and data quality frameworks. Have examples ready that demonstrate your problem-solving skills and how you've tackled data issues in past roles.
✨Showcase Your Collaboration Skills
Since this role involves working across IT teams and facilitating discussions, be ready to share examples of how you've successfully collaborated with others. Highlight any experience you have leading UAT activities or managing stakeholder expectations.
