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- Tasks: Join us as a Junior Quant Analyst to build and optimize trading models.
- Company: Be part of a leading quantitative trading firm in London.
- Benefits: Enjoy competitive pay, hybrid work options, and professional development.
- Why this job: Gain hands-on experience in a fast-paced environment with innovative projects.
- Qualifications: 6-12 months trading experience and strong skills in Python, R, or MATLAB required.
- Other info: This is a full-time role with a salary range of £40,000-£50,000.
The predicted salary is between 40000 - 50000 £ per year.
Position: Junior Quantitative Analyst – Trading
Location : London
Compensation : Competitive salary + benefits
About the Role : An exceptional opportunity has emerged for a driven Junior Quant Analyst to join a market-leading quantitative trading firm. This position offers hands-on experience in developing and implementing sophisticated trading strategies within a cutting-edge environment.
Primary Focus : You will be instrumental in building and optimising quantitative trading models, working alongside senior analysts and portfolio managers to drive data-informed trading decisions across multiple asset classes.
Key Responsibilities :
- Design and implement robust quantitative trading models
- Perform comprehensive market analysis using advanced statistical methods
- Collaborate with senior team members to refine trading strategies
- Research and develop systematic approaches across diverse asset classes
- Execute ongoing performance monitoring and model refinement
- Present analytical findings to key stakeholders
Required Experience & Skills :
- 6-12 months demonstrable trading experience
- Strong programming capabilities in Python, R, or MATLAB
- Proven track record in statistical analysis and machine learning
- Expert data manipulation and analysis skills
- Outstanding problem-solving abilities
- Excellent communication and presentation capabilities
- Ability to thrive in a fast-paced trading environment
Technical Proficiencies :
- Statistical modelling and analysis
- Machine learning applications
- Data manipulation and cleansing
- Algorithm development
- Performance analytics
Work Requirements : Must have existing right to work in the UK. No visa sponsorship available.
Benefits Package :
- Industry-competitive compensation
- Hybrid working arrangements
- Comprehensive professional development
- Access to cutting-edge technology
- Modern office environment
- Collaborative team culture
Career Development : This role provides an exceptional platform for career advancement within quantitative trading, offering exposure to innovative projects and the opportunity to shape the future of algorithmic trading strategies.
Job Type : Full-time
Pay : £40,000.00-£50,000.00 per year
Schedule :
- Monday to Friday
Work Location : In person
Application deadline : 01/02/2025
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Junior Quantitative Analyst - Trading employer: The OHUB - Public Relations
Contact Detail:
The OHUB - Public Relations Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Quantitative Analyst - Trading
✨Tip Number 1
Familiarize yourself with the latest trends in quantitative trading and algorithm development. This will not only help you understand the industry better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field by attending industry conferences or meetups. Building connections can provide you with insights into the company culture and potentially lead to referrals.
✨Tip Number 3
Brush up on your programming skills, especially in Python, R, or MATLAB. Consider working on personal projects or contributing to open-source projects to showcase your abilities and passion for quantitative analysis.
✨Tip Number 4
Prepare to discuss your previous trading experiences and how you've applied statistical methods in real-world scenarios. Being able to articulate your thought process and problem-solving skills will set you apart from other candidates.
We think you need these skills to ace Junior Quantitative Analyst - Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative analysis and trading. Emphasize your programming skills in Python, R, or MATLAB, and any statistical analysis or machine learning projects you've worked on.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for quantitative trading. Mention specific experiences that demonstrate your problem-solving abilities and how you can contribute to the team’s success.
Highlight Relevant Skills: In your application, clearly outline your technical proficiencies, especially in statistical modeling, data manipulation, and algorithm development. Use examples to illustrate your expertise.
Prepare for Interviews: If selected for an interview, be ready to discuss your analytical findings and how you approach market analysis. Practice explaining complex concepts in a clear and concise manner, as communication is key in this role.
How to prepare for a job interview at The OHUB - Public Relations
✨Showcase Your Technical Skills
Be prepared to discuss your programming experience in Python, R, or MATLAB. Highlight specific projects where you applied statistical analysis or machine learning techniques, as this will demonstrate your technical proficiency.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Prepare examples of challenges you've faced in trading or data analysis and how you approached them. This will show your ability to thrive in a fast-paced environment.
✨Understand Market Trends
Research current market trends and be ready to discuss how they might impact trading strategies. Showing that you are informed about the market will impress interviewers and demonstrate your commitment to the role.
✨Prepare for Collaborative Scenarios
Since collaboration is key in this role, think of examples where you've worked effectively in a team. Be ready to discuss how you can contribute to refining trading strategies alongside senior analysts.
