WorldQuant develops and deploys systematic financial strategies across global markets, focusing on producing predictive signals through proprietary research.

WorldQuant, a leader in systematic financial strategies, is seeking a talented Build and Release Engineer to join their technology team. The company develops sophisticated financial strategies across global markets using proprietary research platforms to identify market inefficiencies.

As a Build and Release Engineer, you'll be part of a small but crucial team responsible for the central build and release system. This role combines software development expertise with DevOps practices, requiring both technical depth and collaborative skills. You'll work on complex challenges that directly impact the company's ability to build and distribute software efficiently.

The ideal candidate will bring strong technical foundations in Computer Science or Engineering, with expertise in Python/C++ programming and Linux environments. Your problem-solving abilities and communication skills will be essential as you work across teams to architect and implement solutions.

WorldQuant offers an exceptional work environment that balances academic thinking with practical results. The company values intellectual capability and encourages innovative thinking from all employees. You'll benefit from a strong learning culture with various professional development opportunities, including global conferences and training programs.

The compensation package is competitive and includes comprehensive benefits such as premium health insurance, life insurance, and mental health support. You'll join a diverse, inclusive workplace that emphasizes continuous improvement and values contributions from all team members.

DevOps Engineer position at WorldQuant focusing on build automation and release management, requiring expertise in Python, Linux, and software development.

Build and Release Engineer

WorldQuant develops and deploys systematic financial strategies across global markets, focusing on producing high-quality predictive signals through their proprietary research platform.

WorldQuant is seeking a Data Operations Engineer to enhance their data onboarding and signal generation pipeline. This role combines real-time operations support with development work, focusing on end-to-end monitoring from data ingestion to signal generation. The position involves working with researchers, data strategists, and engineering teams to ensure smooth pipeline operations.

The role requires expertise in Linux platforms, programming languages like Python, and SQL, along with strong English communication skills. You'll be responsible for supporting daily operations, triaging issues, improving pipeline reliability, and interfacing with external vendors. The position offers a unique opportunity to work in a high-velocity environment where you'll solve complex technical and business problems around data structure, quality, and availability.

WorldQuant's culture combines academic sensibility with results accountability, encouraging open thinking and continuous improvement. The company values intellectual capability and seeks individuals who can help build their roadmap to future success. The role includes flexible work-from-home hours but requires periodic coverage until 21:00 Uruguay time and rotated weekend coverage.

The ideal candidate will bring technical expertise, curiosity for complex problem-solving, and a positive team-focused attitude. Experience in financial services or data science is advantageous. This position offers the opportunity to work with a global team in a dynamic, intellectually stimulating environment where excellent ideas are valued regardless of their source.

Data Operations Engineer role at WorldQuant focusing on pipeline reliability, monitoring, and optimization with both operational and development responsibilities.

Data Operations Engineer

WorldQuant develops and deploys systematic financial strategies across global markets using proprietary research platform to produce predictive signals.

WorldQuant, a global investment firm, is seeking an AI Software Engineer to join their new software engineering team. The company specializes in developing systematic financial strategies across various asset classes using their proprietary research platform. This role offers a unique opportunity to work at the intersection of AI and finance, focusing on creating company-wide applications to solve everyday problems.

The position involves collaborating with diverse teams across WorldQuant, designing and implementing AI-driven solutions that directly impact the company's operations. You'll be working in an intellectually stimulating environment that values innovation and practical problem-solving, alongside researchers and portfolio managers who are leaders in their field.

The ideal candidate will bring strong Python programming skills, deep understanding of AI and language models, and experience with modern data infrastructure. While financial experience isn't required, you'll need exceptional analytical capabilities and strong communication skills to succeed in this collaborative environment.

WorldQuant offers a competitive compensation package, including a base salary range of $125,000 to $250,000 for New York-based positions, plus discretionary performance bonuses and benefits. The company culture pairs academic sensibility with results-driven accountability, encouraging open thinking and continuous improvement.

This is an excellent opportunity for an AI engineer looking to make a significant impact in a global investment firm, working on cutting-edge technology while solving real-world problems in the financial sector.

AI Software Engineer position at WorldQuant focusing on building scalable AI-driven applications for a global investment firm.

AI Software Engineer

WorldQuant is a prestigious financial technology firm that specializes in systematic financial strategies across global markets. They are seeking a talented engineer to join their Portfolio and Treasury Services team, focusing on portfolio analytics, P&L calculations, asset valuations, and risk assessment. The role offers a unique opportunity to work directly with portfolio managers and senior management in optimizing trading operations.

The position combines financial domain expertise with advanced technology, requiring strong programming skills in Python, TypeScript, and React, along with experience in big data pipelines and SQL. The ideal candidate will thrive in a fast-paced, intellectual environment where academic sensibility meets practical accountability.

What makes this role particularly attractive is WorldQuant's culture of continuous improvement and innovation. The company values intellectual horsepower and encourages challenging conventional thinking. They offer comprehensive benefits, including premium healthcare, professional development opportunities, and global networking through conferences and team events.

The impact of this role is significant, as the engineer will work on technology platforms crucial to the firm's success. This is an excellent opportunity for someone who wants to combine financial technology with cutting-edge software development in a collaborative, growth-oriented environment. The position offers both technical challenges and business impact, making it ideal for engineers who want to make a meaningful contribution to financial technology innovation.

Backend engineer role at WorldQuant focusing on portfolio analytics and treasury services, combining financial technology with modern software development.

Portfolio and Treasury Services Engineer

WorldQuant is a global quantitative finance firm that specializes in developing and implementing systematic financial strategies across various asset classes. The company is seeking a Data Engineer to join their team and contribute to their data infrastructure and processing capabilities. 

The role combines technical expertise with financial industry applications, requiring strong programming skills particularly in C++ and familiarity with Python. As a Data Engineer, you'll be responsible for transforming complex data sets into standardized outputs that support quantitative analysis and financial engineering.

The ideal candidate will have at least 2 years of experience in data engineering, with a strong foundation in computer science principles and practical software development skills. You'll work in a collaborative environment that values intellectual curiosity and innovative thinking, alongside talented professionals from diverse backgrounds.

WorldQuant offers an attractive combination of intellectual challenges and practical impact. The company culture emphasizes continuous learning and development, with access to various training resources and knowledge-sharing opportunities. The compensation package is competitive, and benefits include premium health insurance, mental health support, and various work-life balance perks such as generous time-off policies and sabbatical opportunities.

This position offers the chance to work at the intersection of technology and finance, contributing to a platform that drives global investment strategies. You'll be part of a team that values both academic rigor and practical results, in an environment that encourages open thinking and continuous improvement.

Data Engineer position at WorldQuant, developing data pipelines and infrastructure for quantitative finance strategies, requiring C++ expertise and 2+ years experience.

Data Engineer

WorldQuant is a global quantitative finance firm that specializes in developing and deploying systematic financial strategies across various asset classes. The company is seeking a Data Engineer to join their technology team, working on sophisticated data pipelines and software systems.

The role offers a unique opportunity to work in an environment that combines academic rigor with practical results. As a Data Engineer, you'll be part of a business-facing technology organization, collaborating closely with researchers and portfolio managers. The company values intellectual capability and innovative thinking, creating an atmosphere where excellent ideas can come from anyone.

The ideal candidate will bring strong technical expertise in C++ and Python, with experience in data pipeline development. You'll work with modern data engineering technologies like Spark and Pandas, while implementing sophisticated data design patterns and software architecture principles. The role requires both technical excellence and strong communication skills, as you'll be working across teams in a collaborative environment.

WorldQuant offers a relaxed yet intellectually stimulating environment where technologists can thrive alongside like-minded professionals. The company's culture encourages open thinking about problems, balancing intellectual pursuit with practical implementation. They seek individuals who can think in code and are motivated by working with talented peers.

This position is ideal for someone who wants to apply their data engineering expertise in the financial technology sector, though prior finance experience isn't required. You'll be part of a company that values continuous improvement and challenges conventional thinking, working on projects that have real impact in the global financial markets.

Data Engineer position at WorldQuant, developing complex data pipelines and software systems for systematic financial strategies.

WorldQuant, a leading quantitative financial firm, is seeking a Backend Engineer to join their dynamic team. The company specializes in developing and deploying systematic financial strategies across global markets, using their proprietary research platform to produce high-quality predictive signals (alphas).

The Backend Engineer will play a crucial role in building and developing components for the Alpha testing and production framework. This position requires expertise in modern design patterns and the ability to create robust, flexible systems. You'll work closely with the operations team, implementing continuous integration and deployment techniques to ensure timely and reliable software delivery.

The ideal candidate will bring strong Python expertise, along with experience in various database and messaging technologies including MySQL, PostgreSQL, Redis, and Kafka. You'll be part of an environment that values intellectual horsepower and continuous improvement, working alongside talented professionals who think in code.

WorldQuant offers an exceptional culture that combines academic sensibility with accountability for results. The company provides comprehensive benefits including premium health insurance, mental health support, and opportunities for professional growth through training courses and knowledge-sharing events. You'll enjoy a collaborative atmosphere with regular team building activities, an annual company trip, and daily perks like office meals and snacks.

This role offers the opportunity to make a significant impact on WorldQuant's ability to remain agile and quickly implement new strategies across different regions and asset classes. If you're passionate about software engineering, have excellent problem-solving abilities, and thrive in a team-oriented culture, this position offers an exciting opportunity to advance your career in financial technology.

Backend Engineer role at WorldQuant developing components for Alpha testing and production framework using Python and various database technologies.

Backend Engineer

WorldQuant is a leading financial technology company that specializes in developing and deploying systematic financial strategies across global markets. The company uses a proprietary research platform to produce high-quality predictive signals (alphas) and employs financial strategies focused on market inefficiencies. As a Backend Software Engineer, you'll join a collaborative environment where academic sensibility meets accountability for results.

The role involves working with cutting-edge technologies in distributed systems, developing and maintaining backend services using Java and Python, and working with modern tools like Spark, Kafka, and Kubernetes. You'll be part of a team that values intellectual horsepower and innovative thinking, working alongside researchers and portfolio managers to build scalable solutions.

The ideal candidate will bring 5+ years of hands-on industry experience, strong technical expertise in backend development, and excellent problem-solving skills. You'll work in an environment that encourages open thinking and continuous improvement, where great ideas can come from anyone.

WorldQuant offers an attractive compensation package, strong learning culture, and comprehensive benefits including premium health insurance, sabbatical leave, and various team-building activities. The company promotes a diverse and inclusive culture through employee resource groups and provides opportunities for global collaboration through annual company trips and conferences.

Senior Backend Engineer role at WorldQuant, developing distributed systems and financial technology solutions using Java and Python.

Backend Software Engineer

WorldQuant is a prestigious financial technology firm that develops and deploys systematic financial strategies across global markets. They are currently seeking a talented Linux Infrastructure Engineer to join their team. This role is perfect for someone who has a strong foundation in Linux systems, networking, and automation.

The position offers an exciting opportunity to work with cutting-edge technology in a fast-paced financial environment. As a Linux Infrastructure Engineer, you'll be responsible for maintaining and optimizing critical systems, troubleshooting complex issues, and collaborating with a globally distributed team. The role requires both technical expertise and strong communication skills, as you'll be working closely with application developers and portfolio managers.

What makes this role particularly attractive is WorldQuant's unique culture that combines academic rigor with practical results. The company values intellectual horsepower and encourages open thinking and continuous improvement. They offer an impressive benefits package including premium health insurance, mental health support, and various learning opportunities.

The ideal candidate will have deep knowledge of Linux kernel internals, networking protocols, and system performance tuning. Experience with modern technologies like Kubernetes, Slurm, and Python automation is highly valued. This role offers excellent growth opportunities within a company that's at the forefront of quantitative finance, making it an ideal position for someone looking to advance their career in infrastructure engineering while working with some of the brightest minds in the industry.

Linux Infrastructure Engineer position at WorldQuant, focusing on system maintenance, optimization, and collaboration with global teams in a quantitative finance environment.

Linux Infrastructure Engineer

WorldQuant, a global quantitative finance firm, is seeking exceptional C++ developers to join their front office development team. The company develops systematic financial strategies across various asset classes and global markets, focusing on producing high-quality predictive signals (alphas) through their proprietary research platform.

The role involves working on mission-critical infrastructure and next-generation platforms, requiring expertise in high-performance C++ development. You'll be part of a collaborative environment where technologists work closely with researchers to design, code, test, and deploy firmwide platforms and tools.

WorldQuant's culture combines academic sensibility with results-driven accountability. They value intellectual horsepower and encourage open thinking, challenging conventional wisdom, and continuous improvement. The environment is relaxed yet intellectually stimulating, perfect for those who think in code and thrive among like-minded individuals.

This position offers an opportunity to work with cutting-edge technology in quantitative finance, implementing low latency, high throughput systems. The ideal candidate will bring strong technical expertise in modern C++, distributed computing, and system architecture, though prior finance experience isn't mandatory.

Join a team where excellent ideas are valued regardless of their source, and where you'll help build the roadmap to future success in systematic trading and investment strategies.

Senior C++ Developer role at WorldQuant, developing high-performance trading systems and mission-critical infrastructure for a global quantitative investment firm.

C++ Developer

WorldQuant, a global systematic financial strategies firm, is seeking an exceptional senior-level Python engineer to join their technology team. The role focuses on developing complex data pipelines, AI/ML systems, and cutting-edge software solutions. The position offers an unique opportunity to work in a relaxed yet intellectually driven environment where innovation and continuous improvement are highly valued.

The ideal candidate will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. With a required 7+ years of experience in Python development and a strong background in data engineering and AI/ML systems, the role demands expertise in designing scalable solutions and mentoring junior team members.

WorldQuant's culture pairs academic sensibility with accountability for results, encouraging open thinking and challenging conventional approaches. The company values intellectual horsepower and seeks individuals who can contribute to building future success. The collaborative environment allows working closely with researchers and portfolio managers, making it an ideal setting for those who think in code and enjoy being around like-minded professionals.

The position offers comprehensive benefits including premium healthcare, life insurance, and extensive professional development opportunities through training courses, global conferences, and team building events. The company maintains a strong commitment to diversity and inclusion, fostering an environment where excellent ideas can come from anyone, anywhere.

This role represents an exceptional opportunity for a senior Python engineer looking to make significant contributions in the intersection of finance and technology, working with cutting-edge AI/ML systems and complex data pipelines while being part of a global team dedicated to innovation and excellence.

Senior Python Engineer role at WorldQuant focusing on AI/ML systems and data pipelines, requiring 7+ years of experience and strong technical leadership skills.

Senior Python Engineer

WorldQuant, a leader in systematic financial strategies, is seeking a talented Build and Release Engineer to join their technology team. The company develops sophisticated financial strategies across global markets using their proprietary research platform to identify market inefficiencies.

The role offers an exciting opportunity to join a small but impactful team responsible for the central build and release system. You'll be at the forefront of tackling complex challenges as the company scales its operations, working with cutting-edge technologies and collaborating across teams to architect and implement solutions that enhance software delivery efficiency.

The ideal candidate will combine technical expertise with strong communication skills, bringing experience in software development, build automation, and release management. You'll work in an environment that values intellectual horsepower and innovative thinking, where great ideas are welcomed from anyone, anywhere.

What makes this role particularly appealing is the combination of technical challenge and business impact. You'll be working with technologies like Python, Linux, and build automation tools, while having the opportunity to directly influence the company's development and deployment capabilities. The company culture pairs academic sensibility with results-driven accountability, encouraging open thinking and continuous improvement.

WorldQuant offers an inclusive work environment where diversity is valued, and employees are encouraged to challenge conventional thinking. This role is perfect for someone who wants to be part of a high-performing team, solving complex problems in the financial technology sector while contributing to the company's continued growth and success.

Build and Release Engineer position at WorldQuant, focusing on developing and supporting build automation and release management systems in a financial technology environment.

WorldQuant, a leading quantitative financial firm, is seeking a talented Build and Release Engineer to join their technology team. The company specializes in developing systematic financial strategies across global markets using their proprietary research platform to produce high-quality predictive signals (alphas).

The role offers an exciting opportunity to work with a global team of engineers, focusing on supporting and enhancing company-wide developer tooling and build/deployment systems. You'll be part of a small, dynamic team that tackles complex challenges in build automation and release management as the company continues to scale its operations.

As a Build and Release Engineer, you'll have significant impact by collaborating across technology teams to architect, code, and deliver solutions that improve software build and distribution efficiency. The position requires strong expertise in Python, Linux systems, and various build tools, along with excellent problem-solving abilities and communication skills.

The ideal candidate will thrive in WorldQuant's unique culture that combines academic sensibility with results-driven accountability. The company values intellectual horsepower and encourages open thinking and continuous improvement. You'll work in an environment where excellent ideas are welcomed from anyone, anywhere.

Key responsibilities include managing build and release pipelines, troubleshooting complex dependency issues across multiple programming languages, and creating solutions to enhance the stability and scalability of the firm's SDLC processes. You'll also play a crucial role in improving developer experience and maintaining high-quality documentation.

The position offers competitive compensation, including a base salary range of $150,000 to $250,000 (New York-specific), plus performance bonuses and benefits. This is an excellent opportunity for a skilled DevOps professional looking to make a significant impact in a dynamic, global financial technology environment.

WorldQuant is committed to equal opportunity employment and maintains a diverse, inclusive workplace. The company offers a collaborative environment where you can contribute to building the roadmap to future success while working with some of the brightest minds in the industry.

Build and Release Engineer position at WorldQuant focusing on developer tooling, build automation, and deployment systems.

WorldQuant, a leading quantitative financial firm, is seeking a Data Engineer to join their dynamic team. The company specializes in developing and deploying systematic financial strategies across global markets, utilizing proprietary research platforms to produce high-quality predictive signals (alphas).

The role combines technical expertise with practical problem-solving in a collaborative environment. As a Data Engineer, you'll be instrumental in transforming complex data sets into standardized outputs for quantitative analysis and financial engineering. You'll work alongside researchers and portfolio managers in an intellectually stimulating atmosphere that values innovation and continuous improvement.

The ideal candidate should have a strong foundation in C++ programming, with Python skills being a plus. You'll need at least 2 years of experience in data engineering, complemented by a bachelor's degree in a technical field. Proficiency in Linux/Unix environments and version control with Git is essential, as is a solid understanding of data structures and algorithms.

WorldQuant offers an exceptional working environment that pairs academic sensibility with results-driven accountability. The company provides comprehensive benefits including premium health insurance, mental health support, and various learning opportunities. You'll be surrounded by brilliant minds in a culture that encourages open thinking and challenges conventional approaches.

The position offers clear career progression, regular team building activities, and the opportunity to work on cutting-edge financial technology. WorldQuant's global presence also provides opportunities for international collaboration and travel. If you're passionate about data engineering and want to work at the intersection of technology and finance, this role offers an excellent opportunity to make a significant impact while growing professionally.

Data Engineer position at WorldQuant focusing on developing data pipelines and engineering solutions for financial strategies.

WorldQuant is a global quantitative finance firm that develops and deploys systematic financial strategies across various asset classes and markets. The company is seeking an LLM Developer focused on Data Intelligence to join their technology team. The role combines cutting-edge AI/ML technologies with financial markets applications.

The position offers a unique opportunity to work in an intellectually driven environment where academic sensibility meets practical results. The successful candidate will be part of a collaborative team that develops proprietary Machine Learning systems and tools to drive business strategies. While prior finance experience isn't required, candidates should have a strong interest in learning about finance and global markets.

The role requires expertise in large language models, agent development, and AI/ML platforms, along with strong programming skills in Python and familiarity with cloud environments. You'll work with modern technologies including GPT-4, Langchain, Huggingface, and vector databases, while collaborating with researchers and portfolio managers.

WorldQuant values intellectual horsepower and innovative thinking, encouraging employees to challenge conventional wisdom and continuously improve. The company culture promotes open problem-solving, balancing intellectualism with practicality. They seek individuals who can think in code and are motivated by working alongside like-minded professionals in a relaxed yet intellectually stimulating environment.

This position offers an excellent opportunity for someone passionate about AI/ML to apply their skills in the dynamic field of quantitative finance, working with cutting-edge technology while contributing to the development of sophisticated financial strategies.

LLM Developer position at WorldQuant focusing on implementing AI/ML systems for quantitative finance strategies.

LLM Developer - Data Intelligence

WorldQuant, a global systematic financial strategies firm, is seeking an exceptional senior-level Python engineer to join their dynamic team. The role focuses on building complex data pipelines, AI/ML systems, and cutting-edge software solutions. The position offers a unique blend of technical leadership and hands-on development in a relaxed yet intellectually driven environment.

The ideal candidate will be part of a small team working on sophisticated technical challenges, collaborating closely with researchers and portfolio managers. This role demands deep expertise in Python development, data engineering, and software architecture, with opportunities to work with cutting-edge AI and large language models.

WorldQuant's culture combines academic sensibility with results-driven accountability. The company values intellectual horsepower and encourages open thinking and continuous improvement. Team members work in an environment where excellent ideas can come from anyone, anywhere, and conventional thinking is challenged.

The position offers the opportunity to work with state-of-the-art technology while contributing to a global investment platform. The successful candidate will play a crucial role in shaping the future of financial technology, working alongside some of the brightest minds in the industry. This is an ideal role for someone who thinks in code and is motivated by collaborating with like-minded professionals in a forward-thinking organization.

Senior Python Engineer role at WorldQuant focusing on data pipelines, AI/ML systems, and technical leadership in financial technology.

WorldQuant is a global quantitative financial firm that develops and deploys systematic financial strategies across various asset classes. The company is seeking a Trading Systems Engineer to join their Front Office Technology group. This role is crucial in building both large-scale quantitative-research platforms and global execution systems that drive WorldQuant's operations in financial markets.

The position offers an opportunity to work in a relaxed yet intellectually driven environment where thinking in code and collaboration with like-minded professionals is valued. The ideal candidate will be responsible for developing, extending, monitoring, configuring, and troubleshooting complex distributed platforms.

WorldQuant's culture combines academic sensibility with results-driven accountability. The company encourages open thinking, challenging conventional wisdom, and continuous improvement. They value intellectual capability above all else and seek individuals who can contribute to building their future success.

The role involves working closely with researchers, portfolio managers, and various technology teams. Key responsibilities include managing real-time execution systems, troubleshooting production issues, optimizing performance, and participating in the full project lifecycle from design to deployment.

This position offers comprehensive benefits including premium healthcare, life insurance, and professional development opportunities. The company maintains a strong focus on diversity and inclusion, providing various employee resource groups and learning opportunities through training courses, guest speakers, and global conferences.

Trading Systems Engineer role at WorldQuant, developing and supporting global execution systems and quantitative research platforms in financial markets.

WorldQuant Engineering Jobs

WorldQuant develops and deploys systematic financial strategies across global markets, focusing on producing predictive signals through proprietary research.