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- Tasks: Develop quantitative tools and conduct research to enhance investment processes.
- Company: Join a leading firm in finance, known for innovation and excellence.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of a dynamic team that values collaboration and creativity in finance.
- Qualifications: Strong Maths background and programming skills in languages like Python or VBA required.
- Other info: Client-facing roles offer a chance to showcase your expertise directly.
The predicted salary is between 43200 - 72000 £ per year.
Responsibilities:
- Develop quantitative infrastructure and production of quantitative data
- Develop and maintain portfolio construction and optimisation tools
- Develop risk and performance attribution methodologies
- Produce and present ad-hoc quantitative research
- Participate in client meetings, explaining the quantitative aspects of the investment process
- Liaise with internal system analysts and developers to provide expertise and enhance front-office tools
- Assist with quantitative analysis for major institutional presentations
- Respond to internal and external requests for ad-hoc quantitative solutions
- Actively exchange with other teams throughout the organisation to enhance collaboration and support wider business objectives
Requirements:
- Strong academic background in Maths/Econometrics/Quantitative Finance
- Analytical approach with close attention to detail
- Proficient programmer with demonstrated knowledge of at least two of the following languages: VBA, Python, Matlab, JavaScript
- Willingness to develop other IT skills as required
- Database design, interaction and retrieval experience advantageous
- Strong team player, with strong communication skills and the ability to collaborate effectively with other teams across the organisation
- Willingness to undertake client facing duties
- Able to work autonomously for extended periods, with an entrepreneurial mindset
- Knowledge of financial markets and industry trends, demonstrated through relevant work experience
- Must be fluent in written and spoken English
Quant Analyst - eFinancialCareers employer: eFinancialCareers
Contact Detail:
eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Analyst - eFinancialCareers
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance and financial markets. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Brush up on your programming skills, especially in Python and VBA, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects to showcase your coding abilities.
✨Tip Number 3
Network with professionals in the industry through platforms like LinkedIn. Engaging with others can provide insights into the role and may even lead to referrals, increasing your chances of landing an interview.
✨Tip Number 4
Prepare to discuss your analytical approach and problem-solving skills in detail. Be ready to share examples from past experiences where you've successfully tackled complex quantitative challenges.
We think you need these skills to ace Quant Analyst - eFinancialCareers
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong academic background in Maths, Econometrics, or Quantitative Finance. Emphasise any relevant programming skills, particularly in VBA, Python, Matlab, or JavaScript, as well as your experience with database design.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the Quant Analyst position and how your analytical approach and attention to detail make you a suitable candidate. Mention your willingness to develop IT skills and your experience in client-facing roles.
Showcase Relevant Experience: When detailing your work experience, focus on any quantitative research projects you've undertaken, portfolio construction tools you've developed, or risk and performance attribution methodologies you've worked on. This will demonstrate your practical knowledge in the field.
Prepare for Interviews: If invited for an interview, be ready to discuss your quantitative analysis skills and how they relate to financial markets. Prepare to explain complex concepts clearly, as you may need to communicate these to clients or other teams within the organisation.
How to prepare for a job interview at eFinancialCareers
✨Showcase Your Technical Skills
Make sure to highlight your programming skills during the interview. Be prepared to discuss your experience with languages like VBA, Python, or Matlab, and consider bringing examples of your work or projects that demonstrate your proficiency.
✨Demonstrate Analytical Thinking
Quantitative roles require a strong analytical mindset. Prepare to discuss how you've approached complex problems in the past, focusing on your attention to detail and the methodologies you used to arrive at your conclusions.
✨Prepare for Client Interaction Scenarios
Since the role involves client-facing duties, think about how you would explain complex quantitative concepts to clients. Practise simplifying technical jargon into layman's terms to show your communication skills.
✨Research the Company and Industry Trends
Familiarise yourself with the company's recent projects and the broader financial market trends. This will not only help you answer questions more effectively but also demonstrate your genuine interest in the role and the organisation.
