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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
- Conducting discovery workshops to define scope, policies, and edge cases.
- Producing control specifications (decision tables, user stories, test cases).
- Maintaining the policy-as-code backlog and tracking lifecycle changes.
- Leading UAT for codified controls; validating automation outcomes.
- Documenting explainable outcomes and providing audit-ready evidence.
- Partnering 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 Brentwood 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 Brentwood
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and how they align with your skills. This will help you tailor your responses and show you're genuinely interested in joining their team.
✨Tip Number 3
Practice your technical skills! Since this role requires proficiency in Python and data governance, brush up on those areas. Consider doing mock interviews or coding challenges to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Technical Analyst (Investment Banking Transformation) in Brentwood
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, and don’t forget to showcase your Python skills and any relevant projects you've worked on.
Showcase Your Projects: When you send us an overview of your automation projects, be specific! Detail the challenges you faced, the solutions you implemented, and the impact your work had. This will help us see your problem-solving skills in action.
Be Clear and Concise: In your application, clarity is key. Use straightforward language and avoid jargon where possible. We want to understand your experience and skills without having to decipher complex terms.
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. Plus, it shows you’re keen on joining our team!
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. Being able to discuss how these impact data governance and compliance will show that you understand the industry's landscape and can translate these policies into actionable requirements.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python, PySpark, and SQL during the interview. Bring examples of past projects where you've designed ETL/ELT pipelines or worked with data quality frameworks. This will help you stand out as a candidate who can hit the ground running.
✨Engage in Process Mapping
Be ready to discuss your experience with process mapping and control specification. Think of specific instances where you've created decision tables or user stories, as this will highlight your analytical skills and ability to document complex processes clearly.
✨Emphasise Collaboration
Since the role involves working closely with various teams, be prepared to talk about your experience in cross-functional collaboration. Share examples of how you've partnered with developers or participated in Agile/Scrum environments to ensure successful project outcomes.
