Senior Quantitative Analyst

Senior Quantitative Analyst

Full-Time 64000 - 88000 £ / year (est.) Home office (partial)
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At a Glance

  • 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 a competitive salary, hybrid working, and additional perks.
  • Why this job: Be part of innovative projects that impact financial institutions and improve operational efficiency.
  • Qualifications: 5+ years in quantitative analysis, Master’s in a relevant field, and Python expertise required.
  • Other info: Collaborate with clients and teams in a fast-paced, dynamic environment.

The predicted salary is between 64000 - 88000 £ per year.

Senior Quant Analyst 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

As a leading firm in the City of London, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our employees benefit from competitive salaries, comprehensive benefits, and ample opportunities for professional growth, all while working in a vibrant environment that values data-driven decision-making and strategic client engagement.
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Contact Detail:

Harrington Starr Recruiting Team

lucia.paolinelli@harringtonstarr.com

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Quantitative Analyst

✨Tip Number 1

Network with professionals in the finance and quantitative analysis sectors. Attend industry events or webinars where you can meet potential colleagues or employers, as personal connections can often lead to job opportunities.

✨Tip Number 2

Showcase your expertise in Python and relevant libraries by contributing to open-source projects or creating a portfolio of your work. This demonstrates your skills and passion for quantitative analysis, making you stand out to potential employers.

✨Tip Number 3

Stay updated on the latest trends and technologies in quantitative finance. Subscribe to relevant journals, blogs, or podcasts to ensure you can discuss current topics during interviews, showcasing your commitment to continuous learning.

✨Tip Number 4

Prepare for technical interviews by practising problem-solving and analytical questions related to quantitative analysis. Use platforms like LeetCode or HackerRank to sharpen your skills, ensuring you're ready to impress during the interview process.

We think you need these skills to ace Senior Quantitative Analyst

Quantitative Analysis
Financial Modelling
Statistical Analysis
Python Programming
Data Manipulation
Experience with Futures Order Book Data
Advanced Mathematical Skills
Problem-Solving Skills
Team Collaboration
Communication Skills
Data Documentation
Ability to Handle Large Datasets
Attention to Detail
Adaptability in Fast-Paced Environments

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 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 how you've used quantitative research and financial analysis in previous roles to enhance product solutions.

✨Demonstrate Technical Proficiency

Make sure to highlight your expertise in Python and relevant libraries for statistical modelling and data manipulation. You might be asked to solve a technical problem during the interview, so brush up on your coding skills and be ready to demonstrate your knowledge.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities in high-pressure environments. Think of scenarios where you had to collaborate with stakeholders or refine models under tight deadlines, and be ready to explain your thought process.

✨Communicate Clearly and Effectively

Strong communication skills are essential for this role. Practice explaining complex concepts in simple terms, as you may need to convey your findings to clients or team members who may not have a technical background.

Senior Quantitative Analyst
Harrington Starr
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