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