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- Tasks: Analyse complex data and implement advanced models to enhance product solutions.
- Company: Join a leading firm specialising in high-level historical data and analytics for financial institutions.
- Benefits: Enjoy hybrid working, competitive salary, and additional perks.
- Why this job: Be part of a fast-paced environment that drives innovation and strategic client engagement.
- Qualifications: 5+ years in quantitative analysis with a Master’s in a relevant field; Python expertise required.
- Other info: Collaborate with stakeholders and support marketing through data insights.
The predicted salary is between 64000 - 88000 £ 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 (City of London) employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Analyst (City of London)
✨Tip Number 1
Familiarise yourself with the specific financial instruments mentioned in the job description, particularly Futures order book market data. Understanding these concepts will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your Python skills, especially focusing on libraries used for statistical modelling and data manipulation. Consider working on personal projects or contributing to open-source projects that showcase your ability to handle large datasets effectively.
✨Tip Number 3
Network with professionals in the finance and quantitative analysis sectors. Attend industry events or webinars where you can meet potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 4
Prepare to discuss your previous experiences in detail, particularly how you've contributed to product innovation and data-driven marketing. Be ready to share specific examples of how your analytical skills have led to successful outcomes in past roles.
We think you need these skills to ace Senior Quantitative Analyst (City of London)
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 company's focus on data-driven marketing and product innovation.
Showcase Relevant Experience: In your application, provide examples of your experience with Futures order book market data and other financial instruments. Highlight any successful projects where you improved operational efficiency or refined trading strategies.
Highlight Soft Skills: Don't forget to mention your strong problem-solving, teamwork, and communication skills. These are crucial for collaborating with stakeholders and thriving in a fast-paced environment, which is key for this role.
How to prepare for a job interview at Harrington Starr
✨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 work on product solutions.
✨Demonstrate Technical Proficiency
Make sure to brush up on your Python skills and be ready to discuss key libraries 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 to showcase your expertise.
✨Understand the Company’s Focus
Research the company’s products and services, especially their approach to historical data and analytics. Understanding how they help institutions refine trading strategies will allow you to tailor your responses and demonstrate your alignment with their goals during the interview.
✨Prepare for Stakeholder Collaboration Questions
Since the role involves working with clients and internal teams, be ready to discuss your experience in collaborating with various stakeholders. Prepare examples that illustrate your teamwork and communication skills, particularly in high-pressure environments, to show you can thrive in their fast-paced setting.
