Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Quantitative Analyst

Cboe Global Markets, Inc.
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Risk Modelling Data Scientist

Senior Risk Modelling Data Scientist

Description

Building trusted markets —powered by our people.

At Cboe Europe, we inspire our people to solve complex challenges together because what we do matters. We provide the financial infrastructure that powers the global economy. As a leading provider of market infrastructure and tradable products, Cboe delivers cutting-edge trading, clearing and investment solutions to market participants around the world.

We’re building inclusive ways to support professional and personal development while strengthening the trust we’ve earned as a global market leader. Our teams are empowered to share ideas, actively pursue them and bring on a challenge. As champions of internal mobility and access to opportunity, we encourage our people to “go for it” and equip our managers with the training to coach their teams to the next level. Our Associate Resource Groups champion diversity, equity and inclusion, giving associates a safe space to network, share ideas and create opportunities.

Sound like the place for you? Join us!

The Execution Consulting Europe team is hiring for Senior Quantitative Analyst.

The European Equities Execution Consulting team is part of the equity trading business, and uses data and analytics to spot market trends, influence client behavior, and provide input into business management and strategic planning to meet revenue and product goals.

The Senior Quantitative Analyst within the Execution Consulting team requires strong analytical and critical thinking skills, along with an understanding of the business and market structure, to solve complex problems and present findings.

In this role you’ll be responsible for:

Create automated and ad-hoc reports/dashboards, presentations and data sources that support product and business objectives and support business units in understanding trading behavior, evaluating market quality, actively monitoring Cboe’s competitive position, new products and new functionality and quantifying impact of fee changes Assist the Division’s efforts in advancing the development of business intelligence tools and their applications Support Europe Execution Consulting in establishing and creating client and equity business line metrics to drive strategic product development of Equity Markets Conduct market research and assist in business development initiatives and provide market structure quantitative analysis to clients on an as needed basis Gather competitive intelligence by compiling, organizing, and maintaining key pricing, rules, reference, and other relevant data sets from competitors Collaborate with Sales and product development teams in the company to provide analytics tailored to business needs

The ideal candidate has:

Demonstrable working knowledge of financial markets, electronic trading, equity market structure Experience in data visualization tools (Tableau or other similar data visualization tools) Commercial experience with SQL and Python and data analysis Experience with modelling, statistics and analysis Must possess strong communication, writing, analytical, quantitative and research skills. Intellectually curious. Innovative problem solver with the ability to quickly identify and understand issues Nice to have: Experience with snowflake / redshift / similar Undergraduate or graduate level degree in computing science, mathematics, finance, statistics, financial engineering, business analytics, data science or similar

Benefits and Perks

We value the total wellbeing of our people – including health, financial, personal and social wellness. We believe standard benefits like health insurance and fair pay are a given at any organization. Still, you should know we offer:

Fair and competitive salary and incentive compensation packages with an upside for overachievement Comprehensive private medical insurance for employees and their families which includes dental cover (taxable benefit) Cboe pays for employee access to a private GP service (face to face or phone call consultations) to make it easy and convenient for you to see a doctor Life and long term illness insurance for stability and peace of mind EAP - This service intends to help employees deal with personal problems that might adversely impact their work performance, health and well-being. This service includes short- term counselling and referral services for employees and their immediate family. Enhanced paid parental and adoption leave to support parents Cboe offers pensions contribution up to 7% of base salary. You don’t have to contribute yourself. ClassPass Corporate Membership which provides access to on-demand classes, livestream classes, in-person classes and wellness sessions across different fitness genres. (taxable benefit) 25 days holiday per year per holiday year for full time employees, increasing with length of service at a rate of one extra day per completed years’ service, up to a maximum of 30 days. Flexible, hybrid work environment, where you choose where and how you work Discounted Employee Stock Purchase Plan Employee referral bonus program Complimentary lunch, snacks and drinks in any Cboe office Paid tuition assistance and education opportunities Generous charitable giving company match Volunteer opportunities to help you give back to your communities

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.