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For Companies At a Glance
- Tasks: Join a dynamic team to manage derivatives and enhance portfolio strategies.
- Company: Be part of a leading finance firm in London, known for innovation and collaboration.
- Benefits: Enjoy competitive pay, a supportive team environment, and opportunities for professional growth.
- Why this job: Make a real impact in finance while working with cutting-edge data analysis and investment strategies.
- Qualifications: Master’s degree in a relevant field and experience with derivatives and data analysis required.
- Other info: Ideal for those passionate about quantitative finance and eager to learn from industry experts.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Role:-
This role offers exciting challenges and opportunities to make a real impact. You would be a member of the quantitative investment strategies, manage derivative overlays, and help with related portfolio management and trading activities.
Prior experience with derivatives from a role in trading, portfolio management, or risk is a must-have pre-requisite for the position. In addition, you should be experienced with data analysis and programming. Your data skills should be complemented with strong academic knowledge of statistics or econometrics. You will be able to apply your expertise in data analysis and statistics to quantitative investment strategies that use derivatives
Become part of a close-knit team of portfolio managers and traders who collaborate across various asset classes. As a team, they have a very wide skill set ranging from trading and portfolio management to quant skills and programming. You will have the opportunity to work with and learn from the team.
Requirements:-
- Master’s degree or higher from a tier-1 university with knowledge of econometrics, statistics, or applied mathematics
- Strong statistics/econometrics skills are essential.
- Has worked with derivatives
- Knowledge of Python
- Knowledge of Bloomberg is a plus
- Experience and knowledge of trade execution is highly desirable
- Experience with Risk Premia and index structuring is highly desirable
- LDI experience is a plus
- At least two years of experience working with data or financial models in the private sector or academic research
- Understanding of systematic investment strategies and portfolio management
- Strong communication skills to liaise with brokers and bank sales
- For candidates who only have a systematic background – very strong data science and Python are fundamental.
Apply:-
Please send a PDF CV to quants@ekafinance.com
Quant Investment Strategist / London- £ High employer: Eka Finance
Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Investment Strategist / London- £ High
✨Tip Number 1
Network with professionals in the quantitative finance field. Attend industry conferences, webinars, or local meetups to connect with people who work as Quant Investment Strategists. This can help you gain insights into the role and potentially lead to referrals.
✨Tip Number 2
Brush up on your programming skills, especially in Python. Consider working on personal projects or contributing to open-source projects that involve data analysis or financial modelling. This will not only enhance your skills but also provide you with practical examples to discuss during interviews.
✨Tip Number 3
Familiarise yourself with the latest trends in quantitative investment strategies and derivatives. Read relevant research papers, articles, and books to deepen your understanding of the field. Being well-informed will help you stand out during discussions with potential employers.
✨Tip Number 4
Prepare for technical interviews by practising common quantitative finance problems and case studies. Focus on questions related to statistics, econometrics, and derivatives. This preparation will boost your confidence and demonstrate your expertise to interviewers.
We think you need these skills to ace Quant Investment Strategist / London- £ High
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with derivatives, data analysis, and programming. Emphasise any relevant roles in trading or portfolio management, and showcase your academic background in statistics or econometrics.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are a great fit for the Quant Investment Strategist role. Mention specific experiences that demonstrate your skills in data analysis and your understanding of systematic investment strategies.
Highlight Technical Skills: Clearly list your technical skills, especially your proficiency in Python and any experience with Bloomberg. If you have worked with financial models or trade execution, make sure to include those details as well.
Showcase Communication Skills: Since strong communication skills are essential for this role, provide examples in your application that demonstrate your ability to liaise effectively with brokers and bank sales. This could be through past experiences or projects.
How to prepare for a job interview at Eka Finance
✨Showcase Your Derivative Knowledge
Make sure to highlight your prior experience with derivatives during the interview. Be prepared to discuss specific examples of how you've managed derivative overlays and any challenges you've faced in trading or portfolio management.
✨Demonstrate Your Data Skills
Since strong data analysis skills are crucial for this role, come ready to discuss your experience with data analysis and programming. You might even want to prepare a brief case study or example of a project where you applied your statistical knowledge effectively.
✨Familiarise Yourself with Systematic Strategies
Understanding systematic investment strategies is key. Brush up on your knowledge of these strategies and be ready to explain how they can be applied in real-world scenarios, especially in relation to portfolio management.
✨Prepare for Technical Questions
Expect technical questions related to econometrics, statistics, and programming in Python. Practise explaining complex concepts in simple terms, as strong communication skills are essential for liaising with brokers and bank sales.
