Python Engineer

About the role

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.

About WorldQuant BRAIN:

BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and provide global remote-work opportunities to participants, while they learn quant finance, AI and ML concepts. WorldQuant BRAIN provides an advanced crowdsourcing platform for external participants to contribute signals, data, and more.

What You'll Do:

- Develop backend application services and APIs.

- Integrate systems with AWS and external cloud services.

- Optimize backend components for speed and scalability.

- Implement and manage caching, queuing and background processing.

- Participate in code reviews, technical design discussions and architecture decisions.

- Be an active member of an agile engineering team who is continuously looking to improve team performance.

- Work with leading cloud technologies (such as AWS, GCP).

- Work with leading open-source technologies (such as MySQL, PostgreSQL, ELK stack, Sentry, Redis, Git, etc.).

- Leverage modern AI tools and practices to increase developer productivity.

- Participate in periodic on-call duties.

What You’ll Bring:

- 2+ years demonstrated experience developing scalable and robust software.

- Passion about software engineering, be strongly driven to build and run real-world applications at scale.

- Eagerness to learn and introduce new technologies. Be curious about what's happening in the tech world.

- Excellent coding skills, solid understanding of the broad Python ecosystem including Numpy, Pandas and Asyncio. Expertise in Python web frameworks such as Django, DRF, Flask or others.