WorldQuant develops and deploys systematic financial strategies across a variety 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 exploiting market inefficiencies. Our teams work collaboratively to drive the production of Alphas and financial strategies ? the foundation of a sustainable, global investment platform.
Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually intense. Our teams are lean and agile, which means rapid prototyping of products with immediate user feedback. We seek people who think in code, aspire to solve undiscovered computer science challenges and are motivated by being around like-minded people. In fact, of the 600 employees globally, approximately 500 of them code on a daily basis.
WorldQuant's success 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. Great ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess a mindset of continuous improvement. That's a key ingredient in remaining a leader in any industry.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an exceptional talent. There is no roadmap to future success, so we need people who can help us create it. Our collective intelligence will drive us there.
We are seeking a highly-qualified Software Engineer to work in our Front-Office Technology Team. This team is responsible for building software enabling both the large-scale quantitative-research operations that drive WorldQuant's platform and the production trading of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm's next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.
What You'll Bring:
A successful candidate will possess:
* Experience developing large-scale, distributed systems
* Strong understanding of data structures and algorithms
* A minimum of 5 years writing production-quality code, preferably in C++
* Able to work independently with minimal direction
An outstanding candidate will also have experience with one or more of:
* Developing systems for managing and performing computation on large-scale graph data
* Streaming / dataflow systems
* Query planning / optimization
* Programming language theory
* Python development experience is also a plus
* Candidates need not have prior experience in financial services.