Senior Engineer

Worldquant; India; On-site; INR 1,500,000 - 3,500,000; Full time

Job summary

WorldQuant is seeking a seasoned software engineer to design, build, and maintain scalable platform components and APIs that integrate with front-office quant workflows.

The role emphasizes collaboration with researchers, portfolio managers, and platform teams to translate research needs into practical engineering solutions and to advance the firm’s global investment platform.

Qualifications

• Bachelor’s or higher in Computer Science, Engineering, Mathematics or related field.
• At least 5 years of professional software engineering experience.
• Strong English communication and experience in global environments.
• Experience with software lifecycle management tools (Git, Jira).
• Proficiency in Python, Go, C, or C++.
• Solid UNIX/Linux knowledge and production-quality software practices.

Responsibilities

• Participate in design, development, testing, deployment, and maintenance of solutions.
• Build and maintain APIs, services, tools, and platform components for front-office quant workflows.
• Interface with platform users to understand use cases and deliver effective tooling.
• Collaborate with Researchers, Portfolio Managers and tech teams to translate needs into engineering solutions.
• Contribute to scalable platform capabilities: metadata management, storage and integration services.
• Propose feature specs and enhancements for the platform roadmap with best practices.
• Develop tools that improve usability, adoption and operational efficiency.
• Ensure solutions are reliable, secure, and aligned with engineering standards.
• Produce documentation and technical materials to support adoption and maintainability.
• Work with global teams in an open, delivery-focused environment.

Skills

Python/Go/C/C++

English communication

Global collaboration

Software lifecycle management

Problem solving

Education

University degree in Computer Science/Engineering/Math

Tools

Git

JIRA

UNIX/Linux

Job description

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

Technologists on this team research, design, code, test, and deploy solutions that enable the firm’s front-office quant teams to make effective use of the our framework. Our environment is relaxed yet intellectually driven, and we seek people who think in code, enjoy solving complex engineering problems, and are motivated by working closely with like-minded researchers, engineers, and business stakeholders.This role sits at the intersection ofplatform engineering, solution delivery, and quant research enablement. The successful candidate will work collaboratively with researchers, portfolio managers, embedded technology teams, and platform stakeholders to build scalable tools, APIs, services, and workflows that improve adoption and support the continued evolution of the firm’s ecosystem. We are looking for a hands-on technologist who enjoys building robust systems, working closely with users, and solving intellectually challenging problems. The ideal candidate is practical, curious, collaborative, and motivated by delivering tools and platforms that help researchers and investment professionals work more effectively.

What You’ll Do

• 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 users of the platform to understand their use cases and help them make effective use of available tools and services.
• Work closely with Researchers, Portfolio Managers, 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.

What You’ll Bring

• University degree, preferably inComputer Science, Engineering, Electrical Engineering, Mathematics, or a related technical field.
• At least5 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, includingGit and JIRA.
• Strong programming expertise in at least one of the following:Python, Go, C, or C++.
• Strong working knowledge ofUNIX/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 oflarge-scale distributed systems, distributed storage platforms, workflow platforms, or data-intensive systems.
• Experience buildingAPIs, 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.

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