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 exploiting market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, 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 driven. 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 tackle 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 every day.

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. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude 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 outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Our collective intelligence will drive us there.

The Role:
Our team is seeking a strong quantitative algorithmic developer to further improve the architecture of WorldQuant’s execution platform across a variety of cash and derivative products. You will be responsible for leading, building and maintaining the algorithm and SOR frameworks, including the short-term predictive models that drive our investment process on our innovative infrastructure with the goal of optimizing trading efficiency.

What You’ll Bring:

Experience in designing and implement algorithmic trading frameworks
Knowledge of Cash Equities, Futures and FX products and related market-microstructure
Experience in post trade analytics and reporting including Transaction Cost Analysis (TCA)
Experience with Smart Order Routing (SOR) and comprehensive knowledge of liquidity pools
Experience in C++ and/or Java programming on a Linux platform
Excellent debugging, critical thinking and problem solving skills

WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. The estimated salary range for this position is $130,000 to $200,000 which is specific to New York and may change in the future. When finalizing an offer we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

Quantitative Algorithmic Developer