National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Quantitative Analyst

Harrington Starr
Slough
1 day ago
Create job alert

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

Related Jobs

View all jobs

Senior Quantitative Analyst (London Area)

Senior Quantitative Analyst

KDB Developer

Senior Investment Risk Analyst

Senior Analyst

Senior Health Data Analyst

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.