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- Tasks: Support research and analytics by developing quantitative models for investment decisions.
- Company: Join a specialist asset manager known for its innovative approach to investment management.
- Benefits: Enjoy hybrid work options and opportunities for professional growth.
- Why this job: Be part of a dynamic team making impactful financial decisions in a fast-paced environment.
- Qualifications: Strong programming skills in Python or MATLAB, with knowledge of SQL and finance concepts.
- Other info: Ideal for those passionate about finance and technology, looking to make a difference.
The predicted salary is between 36000 - 60000 £ 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.
- 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.
- 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.
- Ability to work in a dynamic, agile environment and communicate effectively.
Jr. Analyst, Client Management employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Jr. Analyst, Client Management
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative analysis 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 that showcase your coding abilities and understanding of financial models.
✨Tip Number 3
Network with professionals in the investment management field. Attend industry events, webinars, or join relevant online communities to connect with others who can provide insights or even refer you to opportunities.
✨Tip Number 4
Prepare to discuss your experience with data pipelines and database integrations. Be ready to share specific examples of how you've maintained or improved codebases, as this is a key aspect of the role.
We think you need these skills to ace Jr. Analyst, Client Management
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the role of a Jr. Analyst in Client Management. Emphasise your programming abilities in Python or MATLAB, as well as any experience with SQL databases.
Craft a Strong Cover Letter: Write a cover letter that showcases your understanding of quantitative analysis and investment management. Mention specific projects or experiences where you developed models or conducted research that led to successful outcomes.
Showcase Relevant Skills: In your application, clearly outline your knowledge of asset pricing, portfolio theory, and risk management. Provide examples of how you've applied these concepts in previous roles or academic projects.
Highlight Communication Skills: Since effective communication is key in this role, include examples of how you've successfully communicated complex information to different audiences. This could be through presentations, reports, or collaborative projects.
How to prepare for a job interview at Harrington Starr
✨Showcase Your Technical Skills
Make sure to highlight your programming abilities in Python or MATLAB during the interview. Be prepared to discuss specific projects where you've used these skills, especially in relation to quantitative models or data analysis.
✨Demonstrate Your Understanding of Financial Concepts
Familiarise yourself with key concepts such as asset pricing, portfolio theory, and risk management. Be ready to explain how these concepts apply to the role and provide examples of how you've used them in past experiences.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical thinking and problem-solving skills. Practice explaining your thought process when tackling complex financial problems or developing optimisation tools.
✨Communicate Effectively
Since the role requires effective communication, practice articulating your ideas clearly and concisely. Be prepared to discuss how you would collaborate with team members in a dynamic environment, showcasing your ability to adapt and work well with others.
