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- Tasks: Collaborate with analysts to implement quantitative research frameworks using Python.
- Company: Join a dynamic team focused on financial markets and innovative research.
- Benefits: Enjoy competitive pay of £500-£550/day and potential for permanent placement.
- Why this job: Perfect for those passionate about finance and coding, with a chance to make an impact.
- Qualifications: 4-6 years in a quantitative role; strong Python and financial market knowledge required.
- Other info: This is a six-month contract based in London, with opportunities for growth.
The predicted salary is between 66000 - 88000 £ per year.
You will work closely with quantitative analysts and researchers to implement quantitative research frameworks in Python, including integrating models, algorithms, analytics, and research tools. This is ideally suited to someone who has strong Python development skills and a strong understanding of software engineering principles, and is highly numerate, so can work with quantitative research methodologies and frameworks.
You should apply for this role if you are/have:
- 4-6 years total commercial/post-graduation experience, ideally in a quantitative role in the financial markets
- Solid understanding of financial markets and products – ideally equities
- Strong Python skills including data analysis libraries and visualization tools (Matplotlib, Plotly, pandas, numpy)
- Strong understanding of software development lifecycle and practices including CI/CD
- Degree or Masters in Engineering, Computer Science, Mathematics or related
This is a £500-£550/day PAYE role which is initially a six-month contract, but may convert to permanent in the medium term. Based in London.
Quantitative Analyst (Research) â- Python â- Financial Markets employer: Alexander Ash Consulting
Contact Detail:
Alexander Ash Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst (Research) â- Python â- Financial Markets
✨Tip Number 1
Network with professionals in the financial markets and quantitative analysis fields. Attend industry meetups, webinars, or conferences to connect with potential colleagues and learn about the latest trends and tools in the sector.
✨Tip Number 2
Showcase your Python skills by working on personal projects or contributing to open-source projects related to financial analytics. This not only enhances your portfolio but also demonstrates your practical experience with relevant libraries like pandas and Matplotlib.
✨Tip Number 3
Familiarise yourself with the software development lifecycle and CI/CD practices. Consider taking online courses or certifications that focus on these areas to strengthen your understanding and make you a more attractive candidate.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and quantitative problem-solving. Websites like LeetCode or HackerRank can help you sharpen your skills and get comfortable with the types of questions you might face.
We think you need these skills to ace Quantitative Analyst (Research) â- Python â- Financial Markets
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative roles, particularly in financial markets. Emphasise your Python skills and any relevant projects or tools you've used, such as Matplotlib or pandas.
Craft a Strong Cover Letter: In your cover letter, explain why you're a great fit for the role. Mention your understanding of financial products and how your background aligns with the company's needs. Be specific about your experience with quantitative research methodologies.
Showcase Relevant Projects: If you have worked on any projects that involved quantitative analysis or Python development, include them in your application. Describe your role, the tools you used, and the outcomes of these projects to demonstrate your capabilities.
Highlight Continuous Learning: Mention any ongoing education or certifications related to quantitative analysis or software engineering. This shows your commitment to staying updated in the field and enhances your profile as a candidate.
How to prepare for a job interview at Alexander Ash Consulting
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've used data analysis libraries like pandas and visualisation tools such as Matplotlib or Plotly. Consider bringing a portfolio of your work to demonstrate your capabilities.
✨Understand Financial Markets
Brush up on your knowledge of financial markets, particularly equities. Be ready to discuss recent trends or events in the market and how they relate to quantitative analysis. This will show your passion for the field and your ability to apply your skills in a real-world context.
✨Discuss Software Development Practices
Familiarise yourself with the software development lifecycle and CI/CD practices. Be prepared to explain how you have implemented these in past roles, as this is crucial for the position. Providing examples of how you've improved processes can set you apart.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities and understanding of quantitative methodologies. Practice coding challenges or case studies related to financial data analysis. This will help you feel more confident during the interview.
