Software Engineer, Quantitative Enablement Platform (Vice President)

Location: Warsaw, Mazowieckie, Poland

Company

Global investment banking, securities, and investment management firm building technology for quantitative and electronic trading businesses.

What you will do

• Build a quantitative research platform that accelerates signal discovery, experimentation, backtesting, deployment, and production monitoring.
• Partner with quantitative researchers, portfolio managers, traders, and engineering teams to deliver research capabilities and scalable compute.
• Engineer high-throughput distributed systems processing petabytes of market, transactional, and alternative data with low latency and high resiliency.
• Develop AI-native research workflows using large language models, agentic systems, model context protocols, knowledge graphs, vector search, and machine learning infrastructure.
• Own platform capabilities from architecture and implementation through adoption, operations, observability, reliability, and automated testing.
• Work with streaming platforms, cloud-native technologies, lakehouse architectures, time-series systems, ClickHouse, and research data tooling.

Requirements

• 8+ years of experience building and operating large-scale distributed systems.
• Strong software engineering skills in Python, Java, Scala, or C++.
• Deep understanding of cloud-native architectures and modern infrastructure platforms.
• Experience with data-intensive applications, streaming systems, or machine learning platforms.
• Strong collaboration and communication skills for working with engineering and business stakeholders.
• Interest in markets, data, complex systems, quantitative research, and difficult technical problems.

Nice to have

• Experience in quantitative trading, market structure, electronic trading, or fintech.
• Machine learning, generative AI, or agentic AI platform development experience.
• High-performance computing, real-time analytics, or large-scale data platform experience.
• Experience with ClickHouse, Databricks, lakehouse architectures, distributed compute frameworks, or large-scale time-series data stores.
• Advanced degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline.

Culture & Benefits

• Work on strategic capabilities supporting quantitative and electronic trading across global markets.
• Access to training and development opportunities and firmwide professional networks.
• Benefits, wellness, personal finance offerings, and mindfulness programs.
• Commitment to diversity, inclusion, and reasonable accommodations during the recruiting process.