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- Tasks: Develop trading models and improve strategies in FX and futures markets.
- Company: Join a leading finance firm focused on innovative quantitative trading solutions.
- Benefits: Enjoy competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Be part of a dynamic team driving impactful trading strategies in a fast-paced environment.
- Qualifications: PhD in a quantitative field with 4+ years in quantitative trading required.
- Other info: Confident Python coding skills are essential; send your resume to apply.
The predicted salary is between 48000 - 72000 £ per year.
Role:
- Develop systematic trading models across FX and futures.
- Alpha idea generation, backtesting, and implementation.
- Assist in building, maintenance, and continual improvement of production and trading environments.
- Evaluate new datasets for alpha potential.
- Improve existing strategies and portfolio optimization.
Requirements:
- 4+ years of experience in quantitative trading, ideally in FX or futures.
- PhD in mathematics, statistics, physics or other quantitative discipline.
- Experience with alpha research, portfolio construction and optimization.
- Experience building statistical/technical, fundamental, and data driven signals.
- Extensive experience in systematic macro and FX strategy development, using futures.
- Experience working on/building medium/high frequency systematic strategies.
- Strong experience with data exploration, dimension reduction, and feature engineering.
- Experience managing and running risk is a strong plus.
- Confident Python coder.
Apply: Please send a PDF resume to quants@ekafinance.com
Senior Quant Analyst employer: Eka Finance
Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quant Analyst
✨Tip Number 1
Network with professionals in the quantitative trading field, especially those who have experience in FX and futures. Attend industry conferences or webinars to connect with potential colleagues and learn about the latest trends and technologies.
✨Tip Number 2
Showcase your coding skills by contributing to open-source projects or creating your own trading models on platforms like GitHub. This not only demonstrates your Python proficiency but also highlights your ability to develop systematic trading strategies.
✨Tip Number 3
Stay updated on the latest research and developments in quantitative finance. Reading academic papers or following influential figures in the field can provide you with fresh ideas for alpha generation and portfolio optimisation.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and coding challenges related to quantitative analysis. Familiarise yourself with common algorithms and statistical methods used in trading to demonstrate your expertise during discussions.
We think you need these skills to ace Senior Quant Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in quantitative trading, particularly in FX or futures. Emphasise your PhD and any specific projects that showcase your skills in alpha research and portfolio optimisation.
Craft a Strong Cover Letter: Write a cover letter that clearly outlines your experience with systematic trading models and your proficiency in Python. Mention specific examples of how you've developed and improved trading strategies in the past.
Highlight Relevant Skills: In your application, focus on your experience with data exploration, dimension reduction, and feature engineering. These are crucial for the role, so provide concrete examples of how you've applied these skills in previous positions.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter to ensure there are no errors. A polished application reflects your attention to detail, which is essential in quantitative analysis.
How to prepare for a job interview at Eka Finance
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience in quantitative trading, especially in FX or futures. Highlight specific projects where you developed trading models or conducted alpha research, and be ready to explain your methodologies.
✨Demonstrate Technical Proficiency
Since the role requires strong Python coding skills, ensure you can discuss your programming experience confidently. You might even be asked to solve a coding problem during the interview, so brush up on your coding skills beforehand.
✨Discuss Your Approach to Strategy Development
Prepare to talk about your experience with systematic macro and FX strategy development. Be ready to share examples of how you've built and optimised strategies, including any challenges you faced and how you overcame them.
✨Highlight Your Data Analysis Experience
Given the importance of data exploration and feature engineering in this role, come equipped with examples of how you've evaluated new datasets for alpha potential. Discuss any tools or techniques you used to improve existing strategies.
