Quant Analytics - Prime Services - Selby Jennings

eFinancialCareers
London, United Kingdom
2 weeks ago
Applications closed

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Entry Level PhD Quant Researchers/Programmers-Statistics/ Maths/ Machine Learning

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Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Senior
Education
Degree
Posted
1 Jun 2026 (2 weeks ago)

Benefits

25 days holiday Pension Private healthcare


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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