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For Companies At a Glance
- Tasks: Lead research analytics, manage a team, and enhance investment insights through data tools.
- Company: Join a forward-thinking company dedicated to active investment management and innovation.
- Benefits: Enjoy a collaborative culture, mentorship opportunities, and the chance to make a real impact.
- Why this job: Blend strategic oversight with hands-on delivery in a dynamic environment that values your input.
- Qualifications: Experience in data analytics within financial services; coding skills in Python, R, and SQL preferred.
- Other info: Opportunity to mentor analysts and drive continuous improvement in a supportive team.
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. You’ll:
- 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 quant roles. Engaging with industry peers can provide insights into the company culture and expectations, which can be invaluable during the interview process.
✨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, as this aligns closely with the responsibilities of the Data Lead 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. Emphasise your leadership skills and any relevant tools you've used, such as Python, R, SQL, and Power BI.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and how your background aligns with the company's goals. Mention specific projects where you've led teams or developed tools that improved data insights.
Showcase Relevant Projects: Include examples of past projects that demonstrate your ability to manage data integrity and develop analytical tools. Highlight any experience with machine learning or NLP that could set you apart.
Prepare for Interviews: Be ready to discuss your technical skills and how you've applied them in previous roles. Prepare to explain complex data findings in simple terms, as communication with senior stakeholders is key.
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 enhance data insights.
✨Demonstrate Leadership Experience
Highlight your previous roles where you led teams or projects. Discuss how you mentored others and fostered a collaborative environment, as this is crucial for the Data Lead position.
✨Understand Financial Datasets
Familiarise yourself with key financial datasets such as Morningstar, Bloomberg, and Datastream. Be ready to explain how you've used these datasets in past roles to drive investment decisions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in data analytics and how you overcame them, especially in a financial context.
