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For Companies At a Glance
- Tasks: Lead research analytics, manage a team, and enhance investment insights through data.
- Company: Join a company dedicated to active investment management and making a lasting impact.
- Benefits: Enjoy a collaborative culture, mentorship opportunities, and the chance to work with cutting-edge tools.
- Why this job: Blend strategic oversight with hands-on delivery in a dynamic environment that values innovation.
- Qualifications: Experience in data analytics within financial services; proficiency in Python, R, SQL, and data visualisation tools.
- Other info: Opportunity to mentor analysts and champion a culture of continuous improvement.
The predicted salary is between 43200 - 72000 £ per year.
If you're a data-driven leader with experience across financial datasets, coding, and data visualisation – and you're excited by the opportunity to blend strategic oversight with hands-on delivery – this is your chance to make a lasting impact in a company committed to active investment management.
The Role
As the Data Lead, you’ll lead our research analytics function – managing a team, overseeing data integrity, and building the tools that enhance our investment insight.
- Own and evolve our analytics and reporting capabilities in support of the CIO and research teams.
- Lead the development of proprietary tools and enhance our modelling capabilities using Python, R, SQL, NLP, and machine learning.
- Collaborate across data, infrastructure, and engineering teams to build scalable solutions.
- Guide the development of management reporting, investment KPIs, and external disclosures.
- Mentor a team of analysts, championing a culture of collaboration and continuous improvement.
What You’ll Bring
- Proven experience in data analytics or quant roles within financial services, asset or wealth management.
- Strong grasp of data infrastructure, modelling, and financial datasets (e.g. Morningstar, Bloomberg, Datastream).
- Proficiency in Power BI, Alteryx, Snowflake, and advanced Excel. Coding in Python, R, and SQL is highly desirable.
- Understanding of ESG, performance, risk, and liquidity data.
- Excellent communication skills, with the ability to present complex findings to senior stakeholders.
- A natural leader and collaborator who takes initiative and thrives in dynamic environments.
Data Lead - Investment Research employer: Delectus Partners
Contact Detail:
Delectus Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Lead - Investment Research
✨Tip Number 1
Familiarise yourself with the specific financial datasets mentioned in the job description, such as Morningstar and Bloomberg. Understanding these tools will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Brush up on your coding skills, particularly in Python, R, and SQL. Consider working on small projects or contributing to open-source initiatives that showcase your ability to develop analytical tools and models relevant to investment research.
✨Tip Number 3
Network with professionals in the financial services sector, especially those who work in data analytics or investment management. Engaging in conversations about industry trends can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your leadership style and how you've mentored teams in the past. Be ready to share specific examples of how you've fostered collaboration and continuous improvement within your team, as this is a key aspect of the role.
We think you need these skills to ace Data Lead - Investment Research
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics, financial datasets, and coding. Use specific examples that demonstrate your leadership skills and technical proficiency in tools like Python, R, and SQL.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the responsibilities of the Data Lead position, particularly your experience in managing teams and developing analytical tools.
Showcase Relevant Projects: If you have worked on projects involving data visualisation or investment research, be sure to include these in your application. Highlight any proprietary tools you developed or significant contributions you made to previous teams.
Prepare for Technical Questions: Anticipate questions related to your technical skills and experience with financial datasets. Be ready to discuss your familiarity with tools like Power BI, Alteryx, and Snowflake, as well as your approach to data integrity and reporting.
How to prepare for a job interview at Delectus Partners
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, R, SQL, and data visualisation tools like Power BI. Bring examples of projects where you've used these skills to solve complex problems or improve processes.
✨Demonstrate Leadership Experience
As a Data Lead, you'll be managing a team. Share specific instances where you've successfully led a team, mentored others, or fostered collaboration. Highlight how you champion a culture of continuous improvement.
✨Understand the Financial Landscape
Familiarise yourself with financial datasets and tools mentioned in the job description, such as Morningstar and Bloomberg. Be ready to discuss how you've used these resources in previous roles to drive insights and decision-making.
✨Communicate Complex Ideas Clearly
Practice explaining complex data findings in simple terms. You may need to present to senior stakeholders, so focus on how you can convey your insights effectively, ensuring they understand the implications for investment strategies.
