Python Technical Analyst - Quant Trading

A world-renowned quantitative investment firm is seeking a Technical Analyst with strong Python development skills to join its elite Investment Technology team. This is a high-impact role where you’ll be instrumental in designing and delivering business-critical systems used by trading, quant research, and engineering teams across global offices.

You’ll be working in a fast-paced, technology-first environment where cross-functional collaboration, precision, and innovation are paramount. If you’re someone who thrives at the intersection of technology and finance, and you have 4+ years of experience, this is a rare opportunity to contribute at a high level.

Key Responsibilities

• Analyze and enhance complex front-to-back trading workflows across asset classes.
• Work closely with stakeholders to translate business requirements into scalable technical solutions.
• Lead API, database, and system architecture design initiatives.
• Build clear and well-structured documentation to support global development efforts.
• Define project scope, dependencies, and delivery milestones across a matrixed team.
• Collaborate directly with development teams to ensure design feasibility and implementation success.

What We’re Looking For

• 4+ years of total experience, including some experience in a Technical BA, Architect, Technical PM, or Product Owner role within financial services.
• Strong Python development skills – ability to read, write, and review production-grade code is essential.
• Experience working closely with engineering teams on systems design, integration, and architecture.
• Familiarity with asset classes such as Equities, Futures, Options, or Fixed Income.
• Excellent documentation and stakeholder communication skills.
• Exposure to FIX protocol

This is a unique chance to join a high-performance team where your technical and analytical expertise will directly impact global trading strategies. If you’re ready to work in an environment that values precision, autonomy, and continuous learning — apply now.