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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 trading strategies.
- Benefits: Enjoy hybrid working, competitive salary, and additional perks.
- Why this job: Be part of a fast-paced environment that values innovation and collaboration.
- Qualifications: 5+ years in quantitative analysis with a Master’s in a relevant field; Python expertise required.
- Other info: Work closely with clients and internal teams to drive strategic engagement.
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 employer: Harrington Starr
Contact Detail:
Harrington Starr 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 and financial modelling. Being well-versed in current methodologies 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, as personal recommendations can often lead to job opportunities.
✨Tip Number 3
Brush up on your Python skills, especially focusing on libraries like Pandas and NumPy. Being able to demonstrate your technical proficiency in these areas can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific projects where you've successfully analysed complex datasets or implemented advanced models. Real-world examples will showcase your experience and problem-solving abilities effectively.
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, particularly 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 job description. Mention your experience with Futures order book market data and how your analytical skills can contribute to product innovation and client engagement.
Showcase Relevant Projects: Include specific examples of past projects where you conducted quantitative research or financial analysis. Highlight how these experiences have prepared you for the responsibilities outlined in the job description.
Proofread and Format: Before submitting your application, ensure that your documents are free from errors and formatted professionally. A clean, well-organised application reflects your attention to detail, which is crucial for a Senior Quantitative Analyst 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.
✨Prepare for Stakeholder Collaboration
This role involves working closely with clients and internal teams. Be ready to share experiences where you collaborated effectively with stakeholders to refine models or align strategies. Emphasise your communication skills and how you ensure transparency in documentation for reproducibility.
✨Understand the Financial Landscape
Familiarise yourself with Futures order book market data and other financial instruments relevant to the role. Being knowledgeable about current trends in finance and how they relate to quantitative analysis will demonstrate your commitment and understanding of the industry.
