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VIA REEDEmployer is licensed, listing proof pendingLicensed sponsorData Analyst

Quant Analytics

eFinancialCareersLondonPosted 6 Mar 2026

Salary: Not disclosed

Route: Skilled Worker

Contract: Permanent

Listing sponsorship signal

This employer is linked to a licensed sponsor, but the listing text does not yet show explicit visa-support wording.

Job summary

<br /><br />Vice President - Global QPS Analytics (Trading Desk) <br /><br />Overview <br /><br /><p>An exciting opportunity to join a leading front-office equities trading desk within a high-impact analytics and trading environment. This role sits directly alongside traders, delivering advanced analytics, execution insights, and scalable tooling that drive data-led decision making and enhance client outcomes.</p> <p>You will play a critical role in shaping the desk's analytical capabilities-building real-time and post-trade analytics, developing client-facing insights, and partnering closely across trading, sales, and technology. This is a highly visible position combining technical expertise, market understanding, and commercial impact.</p> <br /><br />Key Responsibilities <br /><br />Desk Analytics &amp; Tooling <br /><br /><ul> <li>Design, build, and maintain front-office analytics and decision-support tools used directly by the trading desk</li><li>Develop real-time and post-trade analytics focused on execution quality, liquidity, and market behaviour</li><li>Work closely with traders to translate business requirements into scalable, production-grade solutions</li><li>Enhance the desk's ability to monitor and optimise execution performance through data-driven insights</li></ul> <br /><br />Execution &amp; Market Analytics <br /><br /><ul> <li>Build advanced analytics to assess execution quality, transaction costs, and venue performance</li><li>Analyse trading flow, liquidity dynamics, and market structure to inform trading strategy</li><li>Deliver insights that support optimal routing, order placement, and trading decision-making</li><li>Continuously improve methodologies for performance attribution and benchmarking</li></ul> <br /><br />Reporting &amp; Data Automation <br /><br /><ul> <li>Own the design and delivery of reporting frameworks, including management information and operational analytics</li><li>Develop client-facing reports covering execution analytics, transparency, and performance metrics</li><li>Build scalable data pipelines and automation frameworks to streamline reporting and enhance efficiency</li><li>Lead development of cost and activity-based analytics, including pricing and invoicing support</li></ul> <br /><br />Data Science, Coding &amp; Innovation <br /><br /><ul> <li>Act as a hands-on analytics specialist, applying strong programming skills to solve complex trading problems</li><li>Leverage modern data science, machine learning, and AI techniques to enhance insight generation</li><li>Drive innovation in analytics and tooling, introducing new approaches to improve trading outcomes</li><li>Ensure solutions are robust, scalable, and aligned with front-office requirements</li></ul> <br /><br />Client Engagement &amp; Stakeholder Management <br /><br /><ul> <li>Engage directly with clients to explain analytics outputs and provide actionable insights</li><li>Support client discussions with clear, data-driven narratives</li><li>Collaborate across trading, sales, product, technology, risk, and control functions</li><li>Contribute to strengthening the overall value proposition through differentiated analytics offerings</li></ul> <br /><br />Skills &amp; Experience <br /><br />Essential <br /><br /><ul> <li>Strong experience in front-office analytics, trading tools, or electronic trading environments (preferably equities/DMA)</li><li>Proficiency in Python and/or SQL with the ability to build production-quality solutions</li><li>Good understanding of cash equities market structure and execution workflows</li><li>Experience working closely with traders or on a trading desk</li><li>Strong communication skills with the ability to translate complex analytics into clear insights</li></ul> <br /><br />Desirable <br /><br /><ul> <li>Experience within Prime Brokerage or Sponsored Access environments</li><li>Exposure to client-facing analytics or reporting solutions</li><li>Familiarity with transaction cost analysis (TCA), execution benchmarking, or flow analytics</li><li>Experience applying machine learning or AI techniques in a trading or analytics context</li></ul> <br /><br />Competencies &amp; Attributes <br /><br /><ul> <li>Commercial mindset with a strong sense of ownership and accountability</li><li>Comfortable operating in a fast-paced front-office environment</li><li>Collaborative, proactive, and solution-oriented</li><li>Strong problem-solving skills with attention to detail</li><li>Ability to balance technical delivery with business impact</li></ul> <br />

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