Python Developer - Quant Equities Technologies - Vice President

Responsibilities

• Develop high-quality Python applications for front-office trading systems
• Partner with traders and quantitative researchers to improve trading and execution workflows
• Translate business and quantitative requirements into scalable system designs and implementation plans
• Design, build, and troubleshoot complex technical solutions beyond conventional approaches
• Write secure, production-grade code and conduct code reviews
• Identify and automate solutions for recurring system issues to improve stability
• Drive adoption of modern technologies and best practices across engineering teams
• Align with both technical and non-technical stakeholders to ensure successful delivery
• You will be part of a high-performing team within a global financial services organization, working at the intersection of technology and markets.
• The team focuses on delivering innovative solutions that support trading, risk management, and liquidity provision across global markets.
• This role offers the opportunity to push technical boundaries while working on cutting-edge systems within equities technology.
• As a Lead Software Engineer, you will play a key role in designing, building, and delivering scalable, secure, and high-performance solutions that support front-office trading activities.
• You will collaborate closely with traders and quantitative researchers to enhance trading workflows and execution capabilities.

Requirements

• Bachelor’s degree in Computer Science or a related field
• At least 5 years of experience in software engineering
• Strong expertise in capital markets and equity market microstructure
• Deep understanding of electronic trading workflows (pre-trade analytics, signal generation, execution, post-trade analysis)
• Advanced proficiency in Python
• Strong analytical, quantitative, and problem-solving skills
• Ability to design scalable architectures from business and quantitative requirements
• Experience in quantitative trading or market analysis
• Familiarity with KDB/q
• Knowledge of FIX protocols, market data systems, and order management systems
• Exposure to internal quant platforms (e.g., SecDB, Athena, Quartz) is a plus
• Experience with data streaming technologies such as Kafka or AMPS

Application:

• Apply to this job posting, and email your CV with the job title as the subject line to: T.Wong@GravitasGroup.com