At a Glance
- Tasks: Join our team to transform data into actionable insights for top financial clients.
- Company: Delta Capita, a leader in financial services consulting and technology innovation.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of data transformation and AI in a dynamic environment.
- Qualifications: Bachelor's degree and experience in financial services or data analytics.
- Other info: Diverse team culture with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
Join our Data, Technology, Automation and AI (DTA) Consulting team as a Data Consultant. You will be passionate about data, analytics and applying insights into our leading financial services clients. This is also a great opportunity for commercially minded and driven individuals to help build out our expanding practice.
Key responsibilities:
- You will work with our clients on multiple disciplines and projects supporting across our clients' data programmes from strategy through to enhanced analytics and delivery of data programmes.
- You’ll be passionate about data and its place at the centre of our client businesses.
- You’ll have a forward thinking approach to data and analytics but be considerate of the heritage environments some of our tier 1 clients currently have.
- You will be excited about shaping and delivering complex data transformation projects from advising on strategy, data’s place in driving decision making such as predictive analytics, machine learning and AI and working across data programmes.
- Will be excited to utilise proprietary technology such as our ecosystem NLP tooling to solve client problems.
- Identify potential business opportunities within existing and new clients. Collaborate with the Sales and Marketing teams and Consulting leadership to develop campaigns, respond to RFPs, and contribute to the growth of DC’s Consulting practice.
Essential Skills & Experience:
- Bachelor’s degree or equivalent.
- Experience within Financial Services.
- Data covers a wide array of business functions and competencies ranging from strategy and enterprise data architecture to implementing sound data management practices, coding predictive data models, and creating data insights and business dashboards.
- Project and change management experience and the ability to both shape and deliver data programmes.
- Managing critical data elements for regulatory reporting (data definition, data lineage, data quality monitoring, data quality incident management).
- Implementing sound data management practices.
- Design of enterprise data architecture and enterprise logical data models.
- Programming languages such as Python, SQL, or Spark.
- Expertise in data visualisation tools such as Qlik, Power BI (Business Intelligence) or Tableau.
- Data engineering tools such as Hadoop, Kafka, SQL.
- Experience of analytics and being able to review and present insights in large data sets formed of complex data, including with software such as Alteryx or DI (Document Intelligence).
- Data quality and/or regulation experience on relevant regulations such as GDPR.
- Client engagement and stakeholder management experience and the ability to form and nurture advisor relationships with clients.
- Domain expertise in one or many areas of FS across Investment Banking, Retail Banking, Commercial Banking or Wealth and Asset Management.
Desirable Skills & Experience:
- Strong presentation skills, experience writing successful project proposals.
- Experience of working in an agile environment.
- Prior consulting experience.
- Familiarity with AI-assisted productivity tools such as Microsoft Copilot, and a genuine curiosity to explore how AI and automation can enhance data workflows and client delivery.
- Experience using or willingness to learn AI tooling such as Microsoft Copilot, ChatGPT, or Claude to accelerate day‑to‑day tasks including data analysis, document drafting, and code development.
- An interest in how generative AI and large language models are reshaping data consulting and a desire to stay current with emerging tools and techniques.
Delta Capita is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, colour, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
This is a permanent full‑time position located in London. As the selection and interview process is ongoing, please submit your application in English as soon as possible; if your profile is selected, a member of our team will contact you within 4 weeks. For this role a valid working permit for the UK is mandatory.
Expectations regarding hybrid working:
As we are a Service Provider and Consulting firm servicing clients, our policy for physically working from the office aligns to what our client’s policies and expectations are and these vary. Most of our clients now require a minimum of 3 days per week in the office, 2 days from home, and accordingly this is also the minimum expectation that Delta Capita requires.
Delta Capita Group is a global managed services, consulting and solutions provider with a unique combination of experience in Financial Services and technology innovation capability. Our mission is to reinvent the financial services value chain providing technology based mutualised services for financial institutions for non-differentiating services.
Data Consultant – All Levels in London employer: Delta Capita
Contact Detail:
Delta Capita Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Consultant – All Levels in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, 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 projects. Show your passion for data and how you can contribute to their goals. Tailor your responses to highlight your relevant experience and skills.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. This will help you get comfortable with common questions and refine your answers to showcase your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Delta Capita.
We think you need these skills to ace Data Consultant – All Levels in London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data and analytics shine through. We want to see how you connect with the role and how your experiences align with our mission in the financial services sector.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this specific role. Highlight relevant experiences and skills that match the job description, especially those related to data transformation and client engagement.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant to the role. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Delta Capita
✨Know Your Data Inside Out
Make sure you brush up on your data knowledge, especially in areas like predictive analytics and machine learning. Be ready to discuss how you've applied these concepts in past roles or projects, as this will show your passion for data and its impact on decision-making.
✨Showcase Your Technical Skills
Familiarise yourself with the programming languages and tools mentioned in the job description, such as Python, SQL, and data visualisation tools like Power BI or Tableau. Prepare examples of how you've used these skills in real-world scenarios to demonstrate your expertise.
✨Understand the Client's Needs
Research the financial services sector and the specific challenges faced by potential clients. This will help you tailor your responses during the interview and show that you're not just technically skilled but also commercially minded and ready to contribute to their success.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or describe how you would handle certain situations. Think about your past experiences and be ready to explain your thought process, especially in terms of project management and client engagement.