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- Tasks: Lead data strategy and develop innovative data solutions for investment optimisation.
- Company: Join a leading private equity firm focused on data-driven decision-making.
- Benefits: Enjoy a dynamic work environment with opportunities for professional growth and mentorship.
- Why this job: Make a meaningful impact in data science while collaborating with top industry leaders.
- Qualifications: Experience in data science or analytics, preferably in investment management or financial services.
- Other info: This role offers the chance to shape the future of data within a fast-paced investment setting.
The predicted salary is between 43200 - 72000 £ per year.
An exciting opportunity has arisen for an experienced data leader to drive innovation and enhance data-driven decision-making at a leading private equity firm. This role will spearhead the development of cutting-edge data solutions, leveraging advanced analytics, predictive modeling, and machine learning to optimize investment strategies and operational efficiency.
As Head of Data, you will be responsible for shaping and executing the firm’s data strategy, working closely with stakeholders across technology, investment, and transformation teams. Your expertise in data engineering, analytics, and machine learning will play a pivotal role in building scalable data solutions, refining governance frameworks, and enhancing analytical capabilities.
Key Responsibilities- Collaborate with senior leadership to refine and implement the firm’s data science strategy, aligning it with broader business priorities.
- Design and develop data platforms, pipelines, and analytical tools that support investment decision-making and risk management.
- Drive innovation by applying advanced machine learning techniques, AI, and predictive modeling to private markets investment challenges.
- Oversee data governance, ensuring high-quality, structured, and unstructured data is effectively managed and utilized.
- Enhance reporting and analytics capabilities, creating intuitive dashboards and user-centric analytical solutions.
- Lead a high-performing data team, providing mentorship, professional development, and fostering a culture of continuous improvement.
- Monitor industry trends, regulatory developments, and emerging technologies to keep the firm at the forefront of data innovation.
- Establish KPIs to measure the success of data initiatives and provide insights to senior leadership.
- Experience in data science, data engineering, or analytics, ideally within investment management, financial services, or private markets.
- Strong technical expertise in data architecture, data lakes, and cloud platforms, including experience with machine learning frameworks (TensorFlow, PyTorch, Hugging Face) and big data processing (Spark, Synapse).
- Proven track record of leading high-performing teams and driving data-led transformation within a complex organization.
- Strong strategic mindset with the ability to translate data insights into actionable business outcomes.
- Excellent communication skills, with the ability to influence senior stakeholders and drive cross-functional collaboration.
This is a unique opportunity to shape the future of data science and engineering within a dynamic investment environment. If you’re a forward-thinking data leader looking to make a meaningful impact, I’d love to hear from you.
Head of Data employer: twentyAI
Contact Detail:
twentyAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data
✨Tip Number 1
Network with professionals in the private equity and investment management sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and leaders who can provide insights into the company culture and expectations.
✨Tip Number 2
Stay updated on the latest trends in data science and machine learning, particularly as they relate to investment strategies. This knowledge will not only help you in interviews but also demonstrate your commitment to innovation in the field.
✨Tip Number 3
Prepare to discuss specific examples of how you've led data-driven projects in the past. Highlight your experience with data governance and team leadership, as these are crucial for the Head of Data role.
✨Tip Number 4
Familiarise yourself with the company's existing data strategy and any recent initiatives they've undertaken. This will allow you to tailor your discussions during interviews and show that you're proactive and genuinely interested in their operations.
We think you need these skills to ace Head of Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, engineering, and analytics. Focus on your achievements in leading teams and driving data-led transformations, as these are crucial for the Head of Data role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data innovation and how your expertise aligns with the firm's goals. Mention specific examples of how you've applied advanced analytics or machine learning to solve complex problems in previous roles.
Showcase Technical Skills: Clearly outline your technical skills related to data architecture, cloud platforms, and machine learning frameworks. Use bullet points to make this information easy to read and ensure it stands out to the hiring team.
Highlight Leadership Experience: Emphasise your experience in leading high-performing teams. Provide examples of mentorship and professional development initiatives you've implemented, as well as how you've fostered a culture of continuous improvement within your teams.
How to prepare for a job interview at twentyAI
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data architecture, machine learning frameworks, and big data processing. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to lead data initiatives.
✨Align with Business Objectives
Understand the firm's broader business priorities and be ready to explain how your data strategy can support these goals. This shows that you can think strategically and translate data insights into actionable outcomes.
✨Demonstrate Leadership Skills
Share examples of how you've led high-performing teams in the past. Discuss your approach to mentorship and fostering a culture of continuous improvement, as this is crucial for the Head of Data role.
✨Prepare for Stakeholder Engagement
Practice articulating complex data concepts in a way that is accessible to non-technical stakeholders. Strong communication skills are essential for influencing senior leadership and driving cross-functional collaboration.
