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- Tasks: Support data governance for top-tier banking clients and translate policies into development requirements.
- Company: Boundaryless, a global consulting firm with a diverse team and innovative solutions.
- Benefits: Permanent position in London with competitive salary and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the world of investment banking transformation.
- Qualifications: 3+ years in data governance, strong Python skills, and experience with data engineering tools.
- Other info: Collaborative environment with a focus on diversity and continuous improvement.
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, striving for diversity with a team representing 13 nationalities and 50% female employees.
Due to the growing demand from financial services organisations for automation services supporting data transformation and agentic process automation, we have open positions for Business Analysts who understand operational and regulatory reporting processes in (investment) banking.
The Agentic Technical/Business Analyst will support a Data Governance & Controls program for a top-tier banking client. Responsibilities include:
- Translating regulatory and governance policies (GDPR, CCPA, HIPAA, Basel, internal security standards) into clear development requirements.
- Working with Legal, Compliance, Security, Data Platform, and IT teams to define policy-as-code specifications and maintain the governance backlog.
- Engaging in process mapping, control specification (decision tables, data contracts, rules), and validating codified outcomes through UAT and audit documentation.
- Actively participating from discovery workshops through to implementation and continuous improvement.
- Ensuring traceability from policy → control → 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 3 years of relevant experience 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.
If you feel you fit this profile, please apply via email. Please send your CV as well as an overview of automation projects you have delivered.
Technical Analyst (Investment Banking Transformation) in Romford employer: Boundaryless Ltd
Contact Detail:
Boundaryless Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Analyst (Investment Banking Transformation) in Romford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Boundaryless. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Make sure you can talk confidently about Python, data governance, and any relevant projects you've worked on.
✨Tip Number 3
Showcase your passion for automation and data transformation. Share examples of how you've tackled challenges in previous roles, especially in regulated environments.
✨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 love seeing candidates who are proactive!
We think you need these skills to ace Technical Analyst (Investment Banking Transformation) in Romford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Technical Analyst. Highlight your experience in data governance, compliance, and automation, especially with tools like Python and SQL. We want to see how your skills match what we're looking for!
Showcase Relevant Projects: When you send us an overview of your automation projects, focus on those that relate to banking or compliance. We love seeing real examples of your work, so don’t hold back on the details!
Be Clear and Concise: In your application, clarity is key! Use straightforward language to explain your experience and how it relates to the job. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Boundaryless Ltd
✨Know Your Regulations
Make sure you brush up on key regulations like GDPR, CCPA, and Basel. Understanding these will not only help you answer questions confidently but also show that you’re serious about compliance in the banking sector.
✨Showcase Your Technical Skills
Be ready to discuss your experience with Python, PySpark, and SQL in detail. Prepare examples of how you've used these tools in past projects, especially in data governance or automation contexts. This will demonstrate your hands-on expertise.
✨Prepare for Scenario Questions
Expect scenario-based questions where you might need to map out a process or define control specifications. Practise articulating your thought process clearly, as this will highlight your analytical skills and problem-solving abilities.
✨Engage with the Interviewers
Don’t just wait for questions; engage with your interviewers by asking insightful questions about their current projects or challenges. This shows your interest in the role and helps you gauge if the company culture aligns with your values.
