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- Tasks: Analyse complex data and enhance product solutions through quantitative research.
- Company: Join a leading firm in historical data and analytics for trading strategies.
- Benefits: Enjoy hybrid working, competitive salary, and additional perks.
- Why this job: Be part of innovative projects that drive real impact in finance.
- Qualifications: 5+ years in quantitative analysis and a Master’s in a relevant field required.
- Other info: Expertise in Python and financial instruments is essential.
The predicted salary is between 64000 - 84000 £ per year.
Hybrid working - City of London
£80,000 - £100,000 + benefits + more
My client specialises in high level historical data and analytics, providing granular order book data and research tech, helping institutions refine trading strategies and improve operational efficiency.
We're looking for a Quantitative Analyst to support product innovation, data-driven marketing, and strategic client engagement. This role involves analysing complex data, implementing advanced models, and collaborating with stakeholders.
The ideal candidate is analytical, detail-focused, and thrives in a fast-paced setting.
What you'll do:
- Conduct quantitative research and financial analysis to enhance product solutions.
- Work with clients and internal teams to refine models and align strategies with business needs.
- Maintain transparent documentation for reproducibility in data-driven decision-making.
- Support marketing by leveraging data insights to drive engagement.
What we're looking for:
- 5+ years of experience in quantitative analysis, preferably within finance.
- Master’s degree in Mathematics, STEM, Economics, or a related quantitative discipline.
- Expertise in Python and key libraries for statistical modeling and data manipulation.
- Experience working with Futures order book market data and other financial instruments.
- Strong problem-solving, teamwork, and communication skills in high-pressure environments.
- Ability to handle large datasets.
Interested? Send your CV to lucia.paolinelli@harringtonstarr.com
Senior Quantitative Analyst employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative analysis, especially in finance. Being well-versed in current methodologies and tools will not only boost your confidence but also impress potential employers during discussions.
✨Tip Number 2
Network with professionals in the finance and quantitative analysis sectors. Attend industry events or webinars to connect with others in the field, as personal recommendations can often lead to job opportunities.
✨Tip Number 3
Showcase your expertise in Python and relevant libraries by working on personal projects or contributing to open-source initiatives. This practical experience can be a great conversation starter and demonstrate your skills effectively.
✨Tip Number 4
Prepare for interviews by practising common quantitative analysis problems and case studies. Being able to articulate your thought process and problem-solving approach will set you apart from other candidates.
We think you need these skills to ace Senior Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 5+ years of experience in quantitative analysis, especially within finance. Emphasise your expertise in Python and any relevant projects that showcase your skills in statistical modelling and data manipulation.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the role of Senior Quantitative Analyst. Discuss how your background in Mathematics or a related discipline aligns with the job requirements and how you can contribute to product innovation and client engagement.
Showcase Relevant Experience: In your application, provide examples of your previous work with Futures order book market data and other financial instruments. Highlight any successful projects where you conducted quantitative research or enhanced product solutions.
Highlight Soft Skills: Don’t forget to mention your strong problem-solving abilities, teamwork, and communication skills. These are crucial for collaborating with stakeholders and thriving in a fast-paced environment, which is what the company is looking for.
How to prepare for a job interview at LinkedIn
✨Showcase Your Analytical Skills
As a Senior Quantitative Analyst, your ability to analyse complex data is crucial. Be prepared to discuss specific examples of past projects where you successfully implemented advanced models or conducted quantitative research. Highlight your problem-solving approach and the impact of your analysis on business outcomes.
✨Demonstrate Technical Proficiency
Make sure to brush up on your Python skills and be ready to discuss the libraries you’ve used for statistical modelling and data manipulation. You might be asked to solve a technical problem during the interview, so practice coding challenges related to financial data analysis beforehand.
✨Understand the Business Context
Familiarise yourself with the company’s products and how they leverage historical data and analytics. Be prepared to discuss how your experience aligns with their goals, particularly in refining trading strategies and improving operational efficiency. This shows that you’re not just a numbers person but also understand the bigger picture.
✨Prepare for Team Collaboration Questions
Given the collaborative nature of the role, expect questions about teamwork and communication. Think of examples where you worked with clients or internal teams to refine models or align strategies. Emphasise your ability to thrive in high-pressure environments and how you handle feedback and differing opinions.
