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Builds and deploys quantitative trading models in Python, turning research into production-grade alpha signals and live trading strategies.
Build and maintain quantitative models and trading algorithms in Python for a Tier-1 buyside firm, turning research into live systematic strategies.
Build and maintain Python-based integrations between SAP SuccessFactors and HR tools using AWS services like Lambda and API Gateway.
Company Overview Quanteam is a global consulting firm specializing in banking and finance, with over 1500 experts worldwide supporting major financial institutions since 2007. We combine business and IT expertise to…
Develops, tests, and maintains web, desktop, and mobile apps using .NET/C#, Python, JavaScript, and SQL while collaborating with teams to deliver scalable solutions.
Builds and optimizes low-latency trading systems, backtesting platforms, and ML algorithms for a quantitative trading firm using Python and C++.
Build and maintain high-performance trading frameworks in Python and C# for a global quantitative investment firm, collaborating with traders and researchers.
Develop and maintain Python-based software, fix bugs, and improve system performance while collaborating with teams on project updates.
Build and maintain secure, scalable Python services on AWS, leading CI/CD and clean-code practices for a cybersecurity-focused product team.
Build and optimize Python-based analytics pipelines for a sovereign wealth fund, using libraries like pandas, PySpark, and scikit-learn to process large financial datasets.
Build and maintain Python-based trading applications for a commodities-focused hedge fund in Singapore, collaborating with traders and analysts to turn data into actionable strategies.
Build and maintain banking applications using Python/Django, creating secure REST APIs and backend services with MySQL/MariaDB in an Agile environment.
Builds and maintains Python-based backend services and RESTful APIs, deploys them on cloud platforms, and integrates systems using FastAPI, Flask, or Django REST Framework.
Build and maintain Python scripts for ETL and data migration between legacy and modern systems, ensuring data integrity and performance.
Build and maintain secure, scalable data pipelines using Python, Cloudera CDP/CDSW, and Spark for financial analytics and risk modeling.
Build and maintain Java applications, automate workflows with Python and Unix scripts, and integrate systems via APIs and WebSockets in a Unix/Linux environment.
Build and maintain Java and Python applications for a Singapore-based financial services firm, focusing on scalable solutions, performance optimization, and security compliance.
Develop AI-driven applications in Python, integrating ML frameworks like TensorFlow/PyTorch and optimizing performance for scalable systems.
Build and maintain Python-based asset-management tools, integrate data pipelines, and support legacy systems while ensuring financial compliance and scalability.
Builds Flask-based web apps and data dashboards with Plotly Dash, integrating LLMs and RAG for intelligent, AI-driven solutions.
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