At a Glance
- Tasks: Lead technology and data initiatives in a fast-growing Venture Capital firm.
- Company: Join EMV Capital, a dynamic venture capital investment group in London.
- Benefits: Competitive salary, performance bonus, and opportunities for professional growth.
- Other info: Work in a collaborative environment with a focus on continuous improvement.
- Why this job: Shape the future of investment decisions using AI and innovative tech.
- Qualifications: Experience in technology, data, or digital transformation roles required.
The predicted salary is between 60000 - 100000 £ per year.
Company: EMV Capital
Location: Mayfair, London (3 days core in office)
Salary: £60,000–£100,000 + performance bonus
Reports to: CEO
Role Type: Full‑time (4 days/week considered)
Role Purpose
This is a rare opportunity to work in a hands‑on technology and data leadership position for a fast‑growing Venture Capital firm. If you are excited by the idea of building from the ground up, working close to the commercial decision‑making and applying AI in a meaningful way this could be the role for you.
You will be working inside an AIM‑listed Venture Capital firm, working directly with the executive leadership and a high performing investment team. You will help create a dynamic and entrepreneurial story in the financial services/VC industry and shape how technology, data and AI are used to drive investment decisions and scale the business.
You will take ownership of a high potential technology and data environment, combining traditional VC investment practices and structured data with practical AI tools to create an insight driven platform and create a real competitive edge.
The role focuses on consolidating the existing technology stack, databases and company know‑how into practical and scalable systems, retaining the knowledge of the organization, increasing the capacity of operations, and providing decision‑grade intelligence. A key focus will be the pragmatic and selective implementation of AI tools across the practice, building on existing systems and initiatives.
This is a commercially engaged role, requiring someone who is hands‑on and delivery‑oriented with success measured by speed of adoption, efficiency gains, improved quality of investment insight enabling growth. This is a builder role; you won’t inherit a polished system, you’ll shape it.
Key Responsibilities
- Technology Stack & Platform Ownership
- Own and continuously improve EMV’s core technology stack (including Salesforce, MS365, Box, Slack, Asana, Delio), including evaluating and adopting emerging tools
- Integrate workflows and technology stack with external data sources ensuring these are well‑integrated, secure, reliable, and usable
- Manage SaaS vendors, external developers, and specialist technology partners
- Data, Reporting & Commercial Insight
- Design and implement a proprietary practical data strategy, including improved systems and storage.
- Build dashboards, reports and alerts that drive action not just visibility.
- Work proactively with the investment team to identify information that actually drives and enables decisions.
- Knowledge Management & Structured Intelligence (Financial Services Best Practice)
- Structure deal flow, investment materials and portfolio data into usable systems
- Improve how documents, research and insights are stored and accessed.
- Apply consistency, auditability, and comparability across the investment process using financial and legal services / legal‑engineering techniques such as document taxonomy, metadata tagging, structured drafting, clause or section extraction, integration with email systems.
- AI, Workflow Automation & Practical Innovation
- The objective is to use our existing technology and data investments to augment/quasi‑automate key parts of our business, and create durable competitive advantage
- Identify and implement pragmatic uses of AI and automation (including LLM‑assisted tools) in document analysis, research and workflow automation
- Define and maintain responsible AI usage principles for an investment firm context, supporting professionals’ judgement, not full automation
- Engagement & Continuous Improvement
- Actively identify inefficiencies and process bottlenecks to remove friction from day‑to‑day workflows
- Identify training needs and lead workshops to ensure fast adoption of practices
- Work directly with the team to drive usage and behaviour change
- Proactively identify and embed emerging best practices in AI, data and workflow automation in VC and financial services.
What we are looking for
We are looking for commercially minded candidates who are able to build, deliver, and drive adoption. Although we aren’t concerned with your exact background, candidates often come from backgrounds such as:
- A VC/PE fund, fintech, or financial data business
- A consulting, legal tech, or digital transformation environment
- A data, analytics, or technology role in financial services
Essential Experience and Skills
- Significant experience in technology, data, analytics, or digital transformation roles
- Familiarity with VC/PE fund operations and LP reporting cycles, and comfort with ambiguity
- Track record in document‑heavy, knowledge‑driven environments (e.g. Venture Capital/Private Equity, legal, consulting, financial services)
- Hands‑on experience with data platforms, BI tools, document management systems, and automation tools
- Comfort with change management and influencing adoption across a team of experienced investment professionals who may not be naturally tech‑forward.
- Track record of delivering solutions that are adopted by users and provide clear business value, rather than purely technical outputs
- Experience with AI/automation tools (including LLM based tools) and implementation in real workflows or business contexts.
- Experience building and working with IT budgets in a lean environment
- Comfortable working directly with senior stakeholders, prioritising work and delivering practical solutions.
- Experience from financial data, financial services, legal services or other professional services industry is desirable
About EMV Capital
EMV Capital plc is a deep tech and life sciences venture capital investment group with an international portfolio of high‑growth companies. With a strategic focus on generating superior returns for investors from the fast‑growing sectors and technologies that will define our future; EMV Capital invests in, manages and strengthens early stage IP‑rich companies.
EMV Capital holds both direct equity stakes and carried interest in its portfolio companies, creating an evergreen structure that supports extensive growth and value creation. EMV Capital's investment thesis is realised through these capital sources: capital‑efficient investments through Group balance sheet; fund management of the Evergreen EIS and Martlet Capital Funds; syndicated investments leveraging its network of third‑party investors.
EMV Capital's approach is characterised by its proactive management style, aiming to advance portfolio companies to critical value inflection points by actively engaging with them. Companies are supported through Board representation and the use of its Value Creation Services practice.
Headquartered in London, with a Cambridge presence and strong international links, EMV Capital is quoted on the AIM market of the London Stock Exchange. EMV Capital has over £100m AUM across over 70 portfolio companies, of which over one third is directly invested from balance sheet, and the balance is third‑party managed. EMV Capital Partners Limited is a wholly owned venture capital and corporate finance firm authorised and regulated by the FCA.
EMVC is an equal opportunities employer. We value diversity and are committed to creating an inclusive environment for all employees. We welcome applications from all suitably qualified candidates regardless of age, disability, gender identity, marital status, race, religion or belief, sex, or sexual orientation.
Any personal data submitted as part of the recruitment process will be processed in accordance with UK data protection legislation and will be used solely for the purposes of assessing suitability for employment.
Head of Technology, Data & Knowledge in London employer: EMV Capital Ltd
EMV Capital Partners Limited is an exceptional employer located in the vibrant Mayfair area of London, offering a dynamic work culture that fosters collaboration and innovation. With a clear pathway for career progression and opportunities to engage directly with portfolio company leadership, employees are empowered to influence growth strategies while enjoying competitive remuneration and performance bonuses. The company's commitment to diversity and inclusion further enhances its appeal, making it a rewarding place for professionals seeking meaningful contributions in the corporate finance and venture capital sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Technology, Data & Knowledge in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like EMV Capital Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Head of Technology, Data & Knowledge at EMV Capital Ltd.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like EMV Capital Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Head of Technology, Data & Knowledge at EMV Capital Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Head of Technology, Data & Knowledge in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at EMV Capital Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at EMV Capital Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at EMV Capital Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at EMV Capital Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
