Company Overview

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.

Job Responsibilities (include, But Not Limited To The Following)

Automate the strategy development and production lifecycle

Implement strategy algorithms
Conduct simulations to test strategy performance
Rewrite trading code more efficiently
Monitor production strategies
Work with team to improve production efficiency

Job Qualifications

Superior and current core programming skills in Python and C++

Work experience with lead role in system architecture and design
Strong background and expertise in application development methodologies
Some exposure to machine learning and statistical optimization techniques- such as convex optimization
Superior critical thinking skills
Exposure to portfolio optimization theory and financial modeling
Advanced mathematical skills, vector calculus level
B.S., B.A., M.S., or Ph.D. degree in technical field with previous work experience
Strong familiarity with the Linux development environment
Knowledge of SQL

Position based in Old Greenwich, CT. or New York, NY.

Quantitative Developer, Portfolio Solutions