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For Companies At a Glance
- Tasks: Lead a team in developing analytics tools and enhancing investment insights.
- Company: Join a forward-thinking company dedicated to active investment management.
- 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.
- Qualifications: Experience in data analytics or quant roles, with proficiency in Python, R, SQL, and financial datasets.
- Other info: Ideal for natural leaders who thrive on collaboration and continuous improvement.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
If you are 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. In that case, this is your chance to make a lasting impact in a company committed to active investment management.
As Quant Analytics 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 continually evolve our analytics and reporting capabilities to support the CIO and research teams.
- Lead the development of proprietary tools (e.g. X-Ray) 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.
- 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 is highly desirable, as is coding in Python, R, and SQL.
- 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.
Quant Analysis Lead employer: Delectus Partners
Contact Detail:
Delectus Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Analysis Lead
✨Tip Number 1
Familiarise yourself with the specific financial datasets mentioned in the job description, such as Morningstar and Bloomberg. Having a solid understanding of these tools will not only boost your confidence but also demonstrate your commitment to the role during discussions.
✨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 proprietary tools and enhance modelling capabilities.
✨Tip Number 3
Network with professionals in the financial services sector, especially those who work in quant roles. Engaging in conversations about current trends and challenges can provide valuable insights and may even lead to referrals for the position.
✨Tip Number 4
Prepare to discuss your leadership style and how you foster collaboration within teams. Think of examples where you've successfully mentored others or led projects, as this will resonate well with our focus on team dynamics and continuous improvement.
We think you need these skills to ace Quant Analysis Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics, financial datasets, and coding. Emphasise any leadership roles you've held and specific tools you've used, such as Python, R, SQL, and Power BI.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven decision-making and investment management. Mention how your skills align with the responsibilities of the Quant Analysis Lead role and provide examples of past successes.
Showcase Your Technical Skills: Include a section in your application that specifically lists your technical proficiencies. Highlight your experience with machine learning, data visualisation tools, and any relevant programming languages to demonstrate your fit for the role.
Prepare for Potential Questions: Think about how you would explain complex data findings to senior stakeholders. Be ready to discuss your approach to leading a team and improving analytics capabilities, as these are key aspects of the role.
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 analytics capabilities.
✨Demonstrate Leadership Experience
As a Quant Analysis Lead, you'll be managing a team. Share specific instances where you've successfully led a team, mentored analysts, or fostered a collaborative environment. Highlight your approach to guiding others and driving 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 inform investment decisions or improve reporting.
✨Communicate Complex Ideas Clearly
You’ll need to present findings to senior stakeholders, so practice explaining complex concepts in simple terms. Prepare to discuss how you've effectively communicated analytical insights in the past, ensuring clarity and engagement.
