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For Companies At a Glance
- Tasks: Join a dynamic team to manage derivative overlays and enhance portfolio management.
- Company: Be part of a leading finance firm focused on quantitative investment strategies.
- Benefits: Collaborate with experts, gain hands-on experience, and develop your skills in a supportive environment.
- Why this job: Make a real impact in finance while working with cutting-edge data analysis and trading techniques.
- Qualifications: Master's degree in econometrics, statistics, or applied mathematics; strong Python and data analysis skills required.
- Other info: Ideal for those with a passion for finance and a desire to learn from experienced professionals.
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
Investment Strategist employer: Eka Finance
Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Investment Strategist
✨Tip Number 1
Make sure to highlight your experience with derivatives in any conversations or networking opportunities. This is a must-have for the role, and demonstrating your hands-on experience can set you apart from other candidates.
✨Tip Number 2
Familiarize yourself with the latest trends in quantitative investment strategies and be prepared to discuss them. Showing that you are up-to-date with industry developments can impress the hiring team.
✨Tip Number 3
Network with professionals who work in portfolio management or trading. Engaging with them can provide insights into the role and may even lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 4
Brush up on your Python skills and be ready to demonstrate your data analysis capabilities. Since strong programming skills are fundamental for this position, showcasing your proficiency can make a strong impression.
We think you need these skills to ace Investment Strategist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with derivatives, data analysis, and programming. Emphasize any relevant roles in trading or portfolio management, and showcase your academic background in statistics or econometrics.
Highlight Relevant Skills: Clearly outline your proficiency in Python and any experience with Bloomberg. If you have knowledge of trade execution or Risk Premia, make sure to include that as well. This will demonstrate your fit for the role.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the position and the company. Discuss how your skills and experiences align with the requirements listed in the job description, particularly your quantitative investment strategies expertise.
Proofread Your Application: Before submitting your application, carefully proofread your CV and cover letter for any errors. A polished application reflects your attention to detail and professionalism, which are crucial in the finance industry.
How to prepare for a job interview at Eka Finance
✨Showcase Your Derivatives Experience
Make sure to highlight your prior experience with derivatives during the interview. Be prepared to discuss specific examples from your previous roles in trading or portfolio management that demonstrate your expertise.
✨Demonstrate Your Data Skills
Since strong data analysis skills are crucial for this role, be ready to talk about your experience with data analysis and programming. Mention any projects where you utilized Python or other programming languages to solve complex problems.
✨Discuss Your Academic Background
Your academic qualifications are important, so be prepared to discuss your master's degree and how your knowledge of econometrics or statistics applies to quantitative investment strategies. Highlight any relevant coursework or research.
✨Communicate Effectively
Strong communication skills are essential for liaising with brokers and bank sales. Practice articulating your thoughts clearly and concisely, and be ready to explain complex concepts in a way that is easy to understand.
