Analytical and Problem solving, C++, Continuous Integration & Continuous Delivery - CI/CD, Effective communication skills, Linux Operating system, Machine learning techniques, Python Programming
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 and portfolio managers. 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: WorldQuant is seeking an exceptional individual to join the firm as a Machine Learning Engineer. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Machine Learning Engineers will design, code and implement complex proprietary pipelines, models and tools to drive our forecast business. You will collaborate with researchers and PM’s to gather, analyze and spec out requirements, develop/test code, and manage product deliverables. A successful candidate will help build the software that will be used by Portfolio Managers to construct portfolios.
What You’ll Bring:
What We Offer:
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WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.
WorldQuant, LLC emerged in 2007 as a quantitative investment management firm stemming from Millennium Management in New York City. Igor Tulchinsky, its Belarusian-born founder, had been a portfolio manager at Millennium since 1995. Specializing in statistical arbitrage, Tulchinsky brought along his team of researchers and quantitative traders to WorldQuant. The firm maintained continuity by utilizing Millennium's corporate infrastructure and trad