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For Companies At a Glance
- Tasks: Develop models and conduct research to enhance investment strategies.
- Company: Join a specialist asset manager in the heart of London.
- Benefits: Enjoy hybrid work options and a dynamic team environment.
- Why this job: Make an impact in finance while collaborating with top professionals.
- Qualifications: 1-2 years in investment management; strong Python or MATLAB skills required.
- Other info: Perfect for those eager to innovate in analytics and finance.
The predicted salary is between 28800 - 48000 £ per year.
My client is a specialist asset manager seeking a Quantitative Analyst to support research and analytics across various asset classes within their investment management team.
Key Responsibilities:
- Develop quantitative models to support investment decision-making and market analysis.
- Conduct independent research to identify opportunities and inefficiencies in financial markets.
- Create portfolio optimisation tools and risk management models.
- Maintain and improve codebases, data pipelines, and database integrations.
- Enhance automation of processes and integrate AI-driven solutions where applicable.
- Collaborate with IT and investment teams to optimise internal systems and analytics.
Required Skills & Experience:
- 1–2 years of experience in investment management.
- Strong programming ability in Python or MATLAB, with database expertise (SQL).
- Knowledge of asset pricing, portfolio theory, and risk management.
- Understanding of factor strategies, asset allocation, and derivatives.
- Strong analytical skills, problem-solving ability, and attention to detail.
- Ability to work in a dynamic, agile environment and communicate effectively.
This role offers the opportunity to contribute to high-impact investment strategies, drive innovation in analytics, and collaborate closely with investment professionals in the wider team.
Junior quant analyst employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior quant analyst
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance and investment management. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your programming skills, especially in Python or MATLAB. Consider working on personal projects or contributing to open-source projects to showcase your coding abilities and problem-solving skills.
✨Tip Number 3
Network with professionals in the quantitative finance field. Attend industry events, webinars, or join relevant online communities to connect with others and learn about potential job openings.
✨Tip Number 4
Prepare for technical interviews by practising common quantitative analysis problems and case studies. This will help you demonstrate your analytical skills and ability to think critically under pressure.
We think you need these skills to ace Junior quant analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative analysis, programming skills in Python or MATLAB, and any knowledge of asset pricing or risk management. Use keywords from the job description to align your CV with the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for quantitative finance and your understanding of the investment management industry. Mention specific projects or experiences that demonstrate your analytical skills and problem-solving abilities.
Showcase Technical Skills: In your application, emphasise your programming abilities and any experience with database management (SQL). If you have worked on portfolio optimisation tools or risk management models, be sure to include those details.
Highlight Collaboration Experience: Since the role involves collaboration with IT and investment teams, mention any past experiences where you successfully worked in a team environment. This could include group projects, internships, or relevant coursework.
How to prepare for a job interview at Harrington Starr
✨Brush Up on Your Programming Skills
Make sure you're comfortable with Python or MATLAB, as these are crucial for the role. Be prepared to discuss your previous projects and how you used these languages to solve problems or create models.
✨Understand Financial Concepts
Familiarise yourself with asset pricing, portfolio theory, and risk management. You might be asked to explain these concepts or how they apply to the role, so having a solid grasp will help you stand out.
✨Showcase Your Analytical Skills
Prepare examples of how you've used your analytical skills in past experiences. Whether it's through coursework or previous jobs, being able to demonstrate your problem-solving abilities will be key.
✨Be Ready to Discuss Collaboration
Since the role involves working closely with IT and investment teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and ability to work in a team-oriented environment.
