Medium Frequency Quant Trader/ London
Medium Frequency Quant Trader/ London

Medium Frequency Quant Trader/ London

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a top-tier quant team to create innovative trading strategies and analyse diverse datasets.
  • Company: A prestigious firm focused on systematic trading and maintaining a healthy work-life balance.
  • Benefits: Enjoy a collaborative environment with a strong emphasis on work-life balance.
  • Why this job: Perfect for those passionate about quant trading and eager to make an impact in finance.
  • Qualifications: Requires 3+ years in finance, a Master's or PhD in a quantitative field, and strategy development experience.
  • Other info: Candidates with exposure to medium-frequency trading in global markets are highly encouraged to apply.

The predicted salary is between 43200 - 72000 £ per year.

Job Description

Role:-

You will join a small, prestigious mid-frequency systematic quant team . You will take ownership of the full lifecycle of creating market leading systematic trading strategies. This will consist of researching alpha signals, building state of the art machine learning models and implementation of strategies .

Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the investment process.

Requirements:-

You should have at least 3 years of experience working within finance, preferably in a buy side company, working on alpha research and signal generation working with strategies with a holding period of minutes to hours/ intraday.

Product experience in any asset class will be considered.

Prior exposure to medium-frequency or daily/intraday trading strategies in North America, Europe or Asia would be highly relevant.

Strong grasp on end-to-end strategy development

Proven success developing strategies in the HFT or Intraday space

Masters or PhD degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related field

This firm believes in a work life balance so candidates who are passionate about quant trading and also happy to maintain a work life balance and an ethos of working in a collaborative environment should apply.

Apply:-

Please send a PDF resume to quants@ekafinance.com

Medium Frequency Quant Trader/ London employer: Eka Finance

Join a prestigious mid-frequency systematic quant team in London, where you will have the opportunity to take ownership of innovative trading strategies while enjoying a strong work-life balance. Our collaborative work culture fosters professional growth and encourages the exploration of cutting-edge machine learning techniques, making it an ideal environment for passionate quant traders looking to make a meaningful impact in the finance sector.
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Contact Detail:

Eka Finance Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Medium Frequency Quant Trader/ London

✨Tip Number 1

Network with professionals in the quant trading field, especially those who have experience in medium-frequency strategies. Attend industry conferences or meetups in London to connect with potential colleagues and learn about the latest trends.

✨Tip Number 2

Showcase your technical skills by working on personal projects that involve building machine learning models or developing trading strategies. Share these projects on platforms like GitHub to demonstrate your capabilities to potential employers.

✨Tip Number 3

Stay updated on market trends and developments in quantitative finance. Follow relevant blogs, podcasts, and research papers to enhance your knowledge and be prepared to discuss these insights during interviews.

✨Tip Number 4

Prepare for technical interviews by practising coding challenges and algorithm questions related to finance. Familiarise yourself with common quantitative trading concepts and be ready to explain your thought process clearly.

We think you need these skills to ace Medium Frequency Quant Trader/ London

Quantitative Analysis
Statistical Modelling
Machine Learning
Alpha Signal Research
Intraday Trading Strategies
Data Analysis
Financial Modelling
Programming Skills (Python, R, C++)
Experience with HFT Strategies
Strong Understanding of Financial Markets
End-to-End Strategy Development
Collaboration and Teamwork
Problem-Solving Skills
Attention to Detail

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your relevant experience in finance, particularly in alpha research and signal generation. Emphasise any work you've done with strategies that have a holding period of minutes to hours.

Craft a Strong Cover Letter: In your cover letter, express your passion for quant trading and your understanding of the importance of work-life balance. Mention specific projects or experiences that demonstrate your ability to develop systematic trading strategies.

Highlight Technical Skills: Clearly outline your technical skills, especially in machine learning and statistical analysis. Mention any programming languages or tools you are proficient in that are relevant to the role.

Showcase Relevant Education: If you have a Master's or PhD in a quantitative subject, make sure to highlight this prominently. Discuss any relevant coursework or projects that relate to systematic trading or quantitative finance.

How to prepare for a job interview at Eka Finance

✨Showcase Your Quantitative Skills

Be prepared to discuss your experience with quantitative analysis and machine learning models. Highlight specific projects where you've successfully developed trading strategies, focusing on the methodologies you used and the outcomes achieved.

✨Demonstrate Financial Acumen

Understand the financial markets and the specific asset classes relevant to the role. Be ready to discuss how your insights have influenced trading decisions in the past, and how you can apply this knowledge to the firm's strategies.

✨Prepare for Technical Questions

Expect technical questions related to algorithm development and statistical techniques. Brush up on your knowledge of programming languages commonly used in quant trading, such as Python or R, and be ready to solve problems on the spot.

✨Emphasise Team Collaboration

Since the firm values a collaborative environment, be sure to share examples of how you've worked effectively within a team. Discuss how you handle feedback and contribute to group projects, showcasing your ability to maintain a work-life balance while being a team player.

Medium Frequency Quant Trader/ London
Eka Finance

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