WorldQuant

About WorldQuant

Data-driven investment strategies for a smarter future

🏢 Corporate👥 251-1K📅 Founded 2007📍 Greenwich, Connecticut, United States

Key Highlights

  • Founded in 2007, headquartered in Old Greenwich, CT
  • Employs over 1,000 professionals globally
  • Focuses on quantitative investment strategies and machine learning
  • Serves institutional clients and high-net-worth individuals

WorldQuant, LLC is a global hedge fund and quantitative investment management firm based in Old Greenwich, Connecticut. Founded in 2007, WorldQuant specializes in data-driven investment strategies and employs over 1,000 professionals across its offices worldwide. The firm utilizes advanced quantitat...

🎁 Benefits

WorldQuant offers competitive salaries, performance-based bonuses, equity participation, generous PTO, and a flexible remote work policy to support wo...

🌟 Culture

WorldQuant fosters a culture of intellectual curiosity and data-driven decision-making, encouraging employees to leverage technology and quantitative ...

WorldQuant

Ai Research Engineer

WorldQuantLondon

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Overview

WorldQuant is seeking an AI Research Engineer to work on developing high-quality predictive signals for financial strategies. You'll engage with cutting-edge AI and ML concepts in a collaborative environment. This role requires a strong background in AI and quantitative finance.

Job Description

Who you are

You are an exceptional individual with a strong background in Artificial Intelligence and Machine Learning, eager to contribute to the development of predictive financial signals. You possess a deep understanding of quantitative finance and are comfortable working with complex data sets to derive insights that drive investment strategies. Your intellectual curiosity drives you to challenge conventional thinking and continuously seek improvement in your work. You thrive in collaborative environments where innovative ideas are encouraged, and you are ready to contribute to a team that values accountability and results.

You have experience in developing AI models and algorithms, and you are proficient in programming languages such as Python. Your analytical skills allow you to interpret data effectively and make data-driven decisions. You are passionate about simplifying quant finance and are excited about the opportunity to work in a dynamic and intellectually stimulating environment. You understand the importance of balancing academic sensibility with practical applications in the financial sector.

What you'll do

As an AI Research Engineer at WorldQuant, you will work at the forefront of AI and Large Language Models, contributing to the development of innovative financial strategies. You will collaborate with cross-functional teams to produce high-quality predictive signals that inform investment decisions. Your role will involve researching and implementing advanced AI techniques to enhance the performance of financial models. You will also engage with external participants on the WorldQuant BRAIN platform, facilitating contributions to the development of signals and data.

You will be responsible for analyzing market inefficiencies and developing algorithms that leverage AI to identify profitable opportunities. Your work will directly impact the foundation of WorldQuant's investment platform, and you will be encouraged to think creatively about solving complex financial problems. You will have the opportunity to mentor and guide less experienced team members, fostering a culture of knowledge sharing and continuous improvement within the team.

What we offer

WorldQuant offers a collaborative and intellectually stimulating work environment where you can thrive as an AI Research Engineer. You will have access to cutting-edge technology and resources to support your research and development efforts. The company values diversity and encourages individuals from various backgrounds to apply, recognizing that diverse teams lead to better outcomes. You will be part of a culture that prioritizes accountability and results, with opportunities for professional growth and development in the field of quantitative finance and AI.

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