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9 Days Ago
Budapest, HUN
2,008 Employees
3-5 Years of Experience
2,008 Employees
3-5 Years of Experience
Financial Services
WorldQuant is seeking a Senior Python Software Engineer with a minimum of 4 years of experience in writing production-quality code in Python on Linux platform. The candidate must be willing to learn C++ and have a strong interest in machine learning, deep learning, and backtesting platform design. The role involves building software for quantitative research operations and portfolio production on a large-scale, distributed system.
9 Days Ago
Budapest, HUN
2,008 Employees
3-5 Years of Experience
2,008 Employees
3-5 Years of Experience
Financial Services
The Senior Data Engineer will create optimized data processing pipelines, develop interfaces and microservices in Python, and integrate external APIs. Responsibilities include monitoring data health, implementing data cleansing and validation processes, and troubleshooting data issues.
9 Days Ago
3 Locations
2,008 Employees
1-3 Years of Experience
2,008 Employees
1-3 Years of Experience
Financial Services
Seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies. Responsibilities include developing systematic strategies, managing quantitative investment portfolio independently, and leading a research team. Requires 2+ years' experience in developing systematic strategies with strong programming skills in Python and C++.
9 Days Ago
Budapest, HUN
2,008 Employees
3-5 Years of Experience
2,008 Employees
3-5 Years of Experience
Financial Services
Seeking highly skilled front-end developers to implement complex views based on UI designs, ensure quality and user experience, debug front-end functionality, and write well-designed, tested code.
9 Days Ago
Budapest, HUN
2,008 Employees
3-5 Years of Experience
2,008 Employees
3-5 Years of Experience
Financial Services
Seeking a Senior DevOps Engineer to work on complex distributed architecture, managing complexity, troubleshooting connectivity issues, and championing operational excellence. Requires expertise in Linux, network stack, CI/CD, Kubernetes, Docker, SQL, Python, and Go.
9 Days Ago
7 Locations
2,008 Employees
150K-200K Annually
1-3 Years of Experience
2,008 Employees
150K-200K Annually
1-3 Years of Experience
Financial Services
The Independent Portfolio Manager will develop systematic strategies to identify market inefficiencies and manage a quantitative investment portfolio. The role involves building a research pipeline, working with various asset classes, and driving performance through innovative strategies.
9 Days Ago
7 Locations
2,008 Employees
150K-200K Annually
1-3 Years of Experience
2,008 Employees
150K-200K Annually
1-3 Years of Experience
Financial Services
The Experienced Quantitative Strategist will support Portfolio Managers in alpha research, modeling, portfolio construction, and implementing quantitative trading strategies while building and maintaining related tools and systems.
9 Days Ago
7 Locations
2,008 Employees
150K-200K Annually
1-3 Years of Experience
2,008 Employees
150K-200K Annually
1-3 Years of Experience
Financial Services
The Book Portfolio Manager will develop systematic strategies using statistical signals for a range of asset classes including global equities, ETFs, futures, currencies, and options. Responsibilities include managing a quantitative investment portfolio and contributing to firm research initiatives.
9 Days Ago
London, Greater London, England, GBR
2,008 Employees
3-5 Years of Experience
2,008 Employees
3-5 Years of Experience
Financial Services
Building a new software engineering team with strong applied AI orientation to create company-wide applications addressing colleagues' everyday problems. Responsibilities include collaborating with cross-functional teams, gathering requirements, designing and building AI-driven products, and staying updated on AI advancements.
10 Days Ago
Budapest, HUN
2,008 Employees
3-5 Years of Experience
2,008 Employees
3-5 Years of Experience
Financial Services
Building a new software engineering team with a strong applied AI orientation to create company-wide applications. Collaborating with cross-functional teams, gathering requirements, designing and building scalable AI-driven products, and staying updated with AI advancements.
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