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Join a global proprietary trading firm's Amsterdam headquarters, working on the trading floor in small teams building the full stack of applications for an ultra-low-latency trading system — from exchange protocol encoders/decoders and automated trading strategies to trader-facing UIs, using C++ and Python.
Summary Zorg ervoor dat u de informatie over deze vacature grondig leest voordat u een sollicitatie indient. This is a fantastic opportunity to work in the Amsterdam headquarters of one of the world's leading…
C++/Python software engineer at a global proprietary trading firm's Amsterdam HQ, sitting on the trading floor building ultra-low-latency trading systems: exchange protocol encoders/decoders, automated trading strategies, and trader-facing UIs, in close collaboration with traders and researchers.
Design, build and maintain the data infrastructure of a high-frequency proprietary trading firm in Singapore: ETL pipelines, database management, monitoring and Airflow workflows, with a focus on reliability, security and scalability. Core stack is Python (pyodbc, SQLAlchemy, Django) plus SQL Server/PostgreSQL/MySQL.
Java quant developer at an asset management firm in London, productionising quantitative models for government bonds (rates) and MBS fixed income on a 6-person global quant dev team. The work is 80% Java / 20% Python (Python not required), collaborating with traders, quants and researchers. Hybrid, 4 days/week on-site.
Python engineer in a two-person AI Labs team at a London buy-side asset manager, building agentic AI solutions (LangChain/LangGraph, AWS) for investment, sales and marketing departments in ~3-month delivery cycles, then handing them to departmental tech teams. Hybrid, 3 days/week in office; £110k–£140k + bonus.
Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire…
Python Quant Developer – Systematic Equities & Credit I'm working with a leading global investment manager in London looking to hire a Python Quant Developer to support its systematic equities and credit…
My client is a leading tech-driven diversified trading firm, trading their own capital across a broad range of asset classes, instruments and strategies in markets worldwide. They are looking for exceptional Python…
Comp: £100-200k This is a fantastic opportunity to work at a tech-focused market maker with groundbreaking success in the high frequency trading space. They're now seeking a motivated data reliability engineer with…
Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity…
£90,000 to 120,000 GBP bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent AI Engineering Manager Location: UK - Hybrid / Flexible Salary: Up to £120,000 base salary,…
This is an energy trading and infrastructure asset investment firm, powered by deep fundamental research and advanced analytics. Now seeking a skilled senior data engineer to support the Intraday Short-Term Power…
Our client is a leading tech-driven quant and systematic hedge fund trading with offices across the globe. They leverage deep knowledge in data, research, technology and trading to deliver high-quality returns. This…
Hands-on senior data engineering role at United Overseas Bank in Singapore: build enterprise-scale ingestion frameworks, Lakehouse platforms (Bronze/Silver/Gold), governed data products and AI-ready data assets using Spark, Java, Python, Kafka, Iceberg and the Hadoop ecosystem, plus operationalizing ML and agentic AI for banking.
VP-level data engineering leadership role at SMBC in Singapore, owning the bank-wide Data Lakehouse strategy: designing reusable frameworks for ingestion, transformation, data quality, reconciliation and lineage, and driving adoption of Databricks, Spark, Python and SQL tooling while leading regional and offshore teams.
Senior Data Engineer building an enterprise investment data platform for a leading global investment firm in Singapore. Day-to-day work centers on scalable data pipelines and lakehouse architecture using Databricks, AWS, Python/PySpark, SQL, DBT, and Airflow, delivered via Agile/DevSecOps with Docker, Kubernetes, and Terraform.
Enterprise Data & AI Platform Engineer at OCBC in Singapore, administering Cloudera CDP/CML, Hadoop/Spark big-data stacks and AWS AI/ML services (SageMaker, Bedrock, EKS) across hybrid cloud — handling upgrades, security patching, monitoring, and Shell/Python automation to keep the bank's data and AI platforms reliable.
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