Senior Software Engineer

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 at WorldQuant research design code test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: Were seeking a senior developer to join our team. You will design build and operate large-scale data and ETL systems that power the firms research and investment workflows. This is a high-autonomy role - youll own critical systems end-to-end make architectural decisions and deliver solutions with minimal guidance. We need someone who is self-directed able to lead themselves take ownership of outcomes and drive complex problems to resolution independently. You should be comfortable communicating across teams articulating technical trade-offs to stakeholders and mentoring others through code review and collaboration.

What Youll Do:

• Design develop and own backend services and data pipelines that process large volumes of data optimally and at scale
• Architect data storage and processing solutions including schema design query optimization and data modeling
• Build and maintain APIs messaging systems and integration layers that connect data producers and consumers
• Drive technical decisions - evaluate trade-offs choose the right tools and define system boundaries
• Take ambiguous requirements and break them down into deliverable well-engineered solutions
• Diagnose and resolve complex production issues - applying strong analytical and systems thinking
• Improve engineering practices: testing CI/CD observability and documentation

What Youll Bring:

• 8 years of professional software development experience
• Strong programming proficiency: Mastery of at least one major programming language (Python Java Go C or equivalent). Beyond syntax fluency you should understand language internals and be able to apply that depth to write performant reliable code
• System design: Proven ability to architect distributed scalable and fault-tolerant systems. Understanding of common patterns - event-driven architecture service decomposition data partitioning caching strategies
• Data engineering: Experience building ETL/ELT pipelines working with batch and streaming data and handling large-scale data processing
• Database proficiency: Deep understanding of relational databases (PostgreSQL MySQL) and familiarity with analytical/columnar stores; strong SQL skills including query optimization
• Software engineering depth: Strong grasp of data structures algorithms design patterns and software architecture principles - applied in production not just theory
• API design: Experience designing clean well-documented REST/gRPC APIs
• Incident response mindset: Ability to diagnose production issues methodically drive root-cause analysis and feed into post-mortems and operational improvement
• AI-agent readiness: Openness to working alongside AI coding agents and LLM-powered tools as part of the development workflow - using AI as a force multiplier for code generation review debugging and documentation
• Nice to Have:
  • Python mastery: Advanced knowledge of Python internals concurrency (asyncio threading multiprocessing) performance profiling packaging and strong experience with frameworks such as FastAPI/Flask SQLAlchemy pytest and mypy/type annotations
  • Observability and distributed tracing: Experience with monitoring and observability stacks - metrics structured logging distributed tracing (OpenTelemetry Grafana ELK) - for diagnosing system behavior and bottlenecks in production
  • DevOps practices: Familiarity with containerization (Docker) CI/CD pipelines (GitLab CI Jenkins) and infrastructure-as-code (Ansible Terraform)
  • Programming language versatility: Proficiency in additional languages that complement data platform work - C for performance-critical systems Scala for distributed data processing with Apache Spark or Rust for high-performance data engineering
  • Team leadership and management: Experience leading a development team running sprints conducting code reviews mentoring engineers and managing stakeholders expectations
  • Message queues and streaming: Experience with Kafka Redis or similar event-driven architectures
  • Data orchestration: Exposure to Airflow or similar workflow orchestration frameworks
  • Frontend / full-stack awareness: Familiarity with modern web technologies (React TypeScript) for building internal UIs and dashboards
  • Financial services or quantitative finance background
  • Open-source contributions or a public portfolio of technical work

Pay Transparency:

WorldQuant is a total compensation organization where you will be eligible for a base salary discretionary performance bonus and benefits.

To provide greater transparency to candidates we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on job function and level benchmarked against similar stage organizations. When finalizing an offer we will take into consideration an individuals experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

The Base Pay Range For This Position Is$150000 $250000 USD.

At WorldQuant we are committed to providing candidates with all necessary information in compliance with pay transparency laws. If you believe any required details are missing from this job posting please notify us at and we will address your concerns promptly.

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By submitting this application you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected how it will be used and disclosed how it will be retained and secured and what legal rights are associated with that data (including the rights of access correction and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.

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