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For Companies At a Glance
- Tasks: Join a dynamic team to develop innovative trading strategies and analyse complex data.
- Company: Be part of a forward-thinking finance firm focused on collaboration and cutting-edge solutions.
- Benefits: Enjoy a collaborative work environment with opportunities for professional growth and innovation.
- Why this job: Shape investment strategies while working with experienced professionals in a fast-paced setting.
- Qualifications: Master’s or PhD in a quantitative field; 5 years in quantitative research or trading required.
- Other info: Send your CV as a PDF to quants@ekafinance.com to apply.
The predicted salary is between 48000 - 72000 £ per year.
Job Description
Key Qualifications:
- Experience: A minimum of 5 years in quantitative research or trading, with relevant experience in commodities, cash equities/equity indexes, or FX and rates.
- Educational Background: Master’s or PhD in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Technical Skills: Strong proficiency in Python, including expertise with libraries suited for data analysis and machine learning.
- Quantitative Expertise: A deep understanding of quantitative finance, statistical methods, and numerical techniques.
- Track Record: Proven experience in developing and implementing mid to low-frequency trading strategies, particularly in relative value or CTA-type strategies.
- Analytical Skills: Exceptional analytical and problem-solving abilities, capable of managing complex data and model development.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex concepts to both technical and non-technical audiences.
- Team Collaboration: Ability to work effectively in a team environment and collaborate with various stakeholders.
What We Offer:
By joining us, you will work alongside a team of seasoned professionals in a dynamic environment focused on innovation and collaboration. You will play a crucial role in shaping our investment strategies.
Apply:-
Please send a PDF CV to quants@ekafinance.com
Systematic Macro Researcher employer: Eka Finance
Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Systematic Macro Researcher
✨Tip Number 1
Network with professionals in the quantitative finance field. Attend industry conferences, webinars, or local meetups to connect with others who work in systematic macro research. This can help you gain insights into the role and potentially get referrals.
✨Tip Number 2
Showcase your technical skills by contributing to open-source projects or creating your own data analysis tools using Python. This not only demonstrates your proficiency but also highlights your initiative and passion for the field.
✨Tip Number 3
Prepare for interviews by brushing up on your quantitative finance knowledge and be ready to discuss your previous trading strategies. Be specific about your contributions and the outcomes of your work to illustrate your expertise.
✨Tip Number 4
Familiarise yourself with the latest trends in systematic macro research and trading strategies. Being knowledgeable about current market conditions and innovations can set you apart during discussions with potential employers.
We think you need these skills to ace Systematic Macro Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in quantitative research or trading, especially in commodities, cash equities, or FX and rates. Emphasise your educational background in a quantitative discipline and any specific projects that showcase your skills.
Showcase Technical Skills: Clearly demonstrate your proficiency in Python and any relevant libraries for data analysis and machine learning. Include specific examples of how you've applied these skills in previous roles, particularly in developing trading strategies.
Highlight Analytical Abilities: Provide examples of your analytical and problem-solving skills. Discuss any complex data management or model development projects you've worked on, showcasing your ability to handle intricate quantitative finance concepts.
Communicate Effectively: Since excellent communication skills are crucial, ensure your application reflects your ability to explain complex ideas clearly. Use straightforward language and structure your application logically to make it easy for the reader to follow.
How to prepare for a job interview at Eka Finance
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience in quantitative research or trading. Highlight specific projects where you applied statistical methods or numerical techniques, especially in commodities, equities, or FX.
✨Demonstrate Technical Proficiency
Since strong proficiency in Python is crucial, be ready to talk about your experience with relevant libraries for data analysis and machine learning. Consider bringing examples of code or projects that showcase your skills.
✨Communicate Complex Concepts Clearly
Practice explaining complex quantitative finance concepts in simple terms. This will demonstrate your ability to communicate effectively with both technical and non-technical audiences, which is essential for team collaboration.
✨Prepare for Problem-Solving Questions
Expect analytical problem-solving questions during the interview. Brush up on your approach to managing complex data and model development, and be ready to walk through your thought process clearly.
