At a Glance
- Tasks: Analyse and document data quality issues in investment banking, focusing on reference data.
- Company: Join Delta Capita, a global leader in financial services consulting and technology innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of an inclusive team that values diversity and offers career advancement.
- Why this job: Make a real impact by solving complex data challenges in a fast-paced environment.
- Qualifications: Experience in data analysis within investment banking and strong SQL skills required.
The predicted salary is between 63000 - 77000 £ per year.
Delta Capita is seeking an experienced Senior Business Data Consultant to support our client’s large-scale reference data and data quality programme within a leading investment banking environment. This position will involve working closely with a Programme Manager to analyse and document client data quality issues across multiple asset classes within a front office/investment banking environment. The role is heavily focused on data investigation, root cause analysis, and supporting the definition of remediation strategies.
Key responsibilities include:
- Systematically documenting and analysing client reference data quality issues
- Mapping data flows, sources, and ownership across asset classes (credit, rates, FX, etc.)
- Performing root cause analysis (technology, process, governance, ownership gaps)
- Maintaining structured data issue logs with impact assessments and recommendations
- Supporting the development of remediation roadmaps and prioritisation frameworks
- Collaborating with business stakeholders and technical teams to validate findings
- Contributing to data readiness initiatives (including AI-related use cases)
- Producing clear documentation (issue logs, data dictionaries, process flows, reports)
Ideal profile:
- Extensive experience in data or business analysis within investment banking / capital markets
- Strong understanding of client reference data and data lifecycle
- Experience working across multiple FIC asset classes
- Strong data literacy (SQL, data structures, data modelling concepts)
- Proven ability to analyse complex data issues end-to-end
- Comfortable working in fast-paced, ambiguous environments
- Experience with data governance, data quality frameworks, or MDM is beneficial
For this role, a valid working permit for the UK is mandatory.
Senior Business Data Consultant - Reference Data employer: careersdeltacapita
Delta Capita is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a strong commitment to employee growth, we provide ample opportunities for professional development and agile training, ensuring our consultants thrive in their careers while enjoying a flexible hybrid working model. Join us to be part of a team that values your contributions and supports your journey in delivering impactful consulting services to leading financial institutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Business Data Consultant - Reference Data
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We think you need these skills to ace Senior Business Data Consultant - Reference Data
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at careersdeltacapita, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to careersdeltacapita, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
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How to prepare for a job interview at careersdeltacapita
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For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at careersdeltacapita.
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You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
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Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at careersdeltacapita.
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