12 дней назад
Global Banking and Markets - Quantitative Engineer - Associate - London
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Global Banking and Markets - Quantitative Engineer - Associate - London (Algorithmic Trading/AI): Analyzing electronic trading performance and European market liquidity through transaction cost analysis, large-scale datasets, and client-facing recommendations with an accent on algorithmic trading, data science, and market microstructure. Focus on building AI-enabled analysis tooling, maintaining trading configurations, researching liquidity trends, and translating complex findings into live trading experiments.
Location: London, Greater London, England, United Kingdom
Company
Work within the Global Banking & Markets division and its European Electronic Trading business.
What you will do
- Perform Transaction Cost Analysis (TCA) to monitor client performance and identify product improvements.
- Present data-driven recommendations during client reviews and maintain technical setups and configurations.
- Analyze large structured and unstructured datasets to identify trends and support live trading experiments.
- Improve data-analysis and trend-detection tooling using AI and automation frameworks.
- Research liquidity and market-structure changes across European markets and develop in-depth client-facing analysis.
- Collaborate with clients, Sales, Trading, Engineering, and Quantitative Research teams.
Requirements
- Strong interest in markets and equity electronic or algorithmic trading.
- Strong analytical skills and the ability to derive insights from large raw datasets.
- Hands-on coding experience in KDB/q, Python, SQL, or another programming language.
- Experience or exposure to TCA, European market microstructure, or electronic execution concepts.
- Familiarity with QlikView, Tableau, or Power BI.
- Excellent communication, teamwork, and client-facing skills; relevant backgrounds include finance, physics, mathematics, computer science, or engineering.
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