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WorldQuant

Global quantitative asset management via algorithms

Senior Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNew Delhi, Delhi, IndiaNo salary listedIn-person

About the Job

Requirements

  • A university degree, preferably in Computer Science, Engineering, Electrical Engineering, Mathematics, or a related technical field.
  • At least 5 years of professional software engineering experience.
  • Strong English communication skills and experience working in a global environment.
  • Expertise in software lifecycle management methodologies and tools, including Git and JIRA.
  • Strong programming expertise in at least one of Python, Go, C, or C++.
  • Strong working knowledge of UNIX/Linux.
  • Experience designing, developing, testing, and supporting production-quality software systems.
  • Ability to work directly with technical and non-technical users to understand requirements and deliver effective solutions.
  • Knowledge of the design and development of large-scale distributed systems, distributed storage platforms, workflow platforms, or data-intensive systems.
  • Experience building APIs, backend services, platform tooling, or developer enablement solutions.
  • Familiarity with quant research workflows, investment technology platforms, data pipelines, or front-office systems.
  • Exposure to CI/CD, observability, containerization, orchestration, or cloud-native development practices.
  • Interest in open architecture, graph-based frameworks, metadata-driven systems, and extensible platform design.

Responsibilities

  • Participate in the design, development, testing, deployment, and maintenance of solutions.
  • Build and maintain APIs, services, tools, and platform components that enable seamless integration with front-office quant workflows.
  • Interface with platform users to understand their use cases and help them make effective use of available tools and services.
  • Work closely with researchers and technology teams to translate business and research needs into practical engineering solutions.
  • Contribute to scalable platform capabilities, including workflow tooling, metadata management, distributed storage, and integration services.
  • Research best practices and propose feature specifications and enhancements for the platform roadmap.
  • Develop and maintain tools that complement the core platform offering and improve usability, adoption, and operational efficiency.
  • Ensure solutions are reliable, secure, scalable, and aligned with firmwide engineering standards.
  • Produce clear documentation, user guides, and technical materials to support adoption and long-term maintainability.
  • Collaborate with global teams in an open, intellectually curious, and delivery-focused environment.

About the Company

WorldQuant

Global quantitative asset management via algorithms

WorldQuant is a global quantitative asset management firm that uses data, talent, and predictive algorithms to manage investments for institutional clients. Its approach centers on quantitative research and algorithmic trading, applying mathematical models to identify opportunities and execute trades in financial markets. The company earns management and performance fees based on assets under management and investment returns. What sets WorldQuant apart is its scale and culture: a worldwide footprint with over 1,000 professionals across 27 offices, a strong emphasis on data-driven research and experimentation, and a commitment to equal opportunity where employees at all levels can contribute ideas. The firm’s goal is to deliver reliable, scalable investment performance for pension funds, endowments, sovereign wealth funds, and other institutions by closely linking research, technology, and trading execution to generate client returns.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$148.5M
Headquarters
Greenwich, CT
Founded
2007

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