Quantitative Developer - AI Implementation, Entry Level

Jobright.ai

West Palm Beach (FL)

On-site

USD 65,000 - 200,000

Full time

14 days+

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Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A dynamic company is seeking an Entry Level Quantitative Developer to join their AI Implementation team. The role involves building advanced AI/ML models for investment processes and collaborating with various teams to enhance trading strategies. Ideal candidates will have experience in training AI models and knowledge of Python and key AI frameworks. This position offers a competitive salary, collaboration with top industry professionals, and opportunities for growth within the firm.

Qualifications

2 years of experience in AI, ML, reinforcement learning, or quantitative trading.
Experience developing AI algorithms and infrastructure.
Hands-on experience with complex software systems.

Responsibilities

Build AI/ML models for investment strategies.
Collaborate with teams to implement AI solutions.
Develop foundational software for AI at the firm.

Skills

Python

Machine Learning

Reinforcement Learning

NumPy

Pandas

Education

Graduate-level research in AI or related field

Tools

XGBoost

TensorFlow

PyTorch

Job description

Quantitative Developer - AI Implementation, Entry Level

Join to apply for the Quantitative Developer - AI Implementation, Entry Level role at Jobright.ai

Quantitative Developer - AI Implementation, Entry Level

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Join to apply for the Quantitative Developer - AI Implementation, Entry Level role at Jobright.ai

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Job Summary:

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. They are seeking a Quantitative Strategist to join the Artificial Intelligence team, where the individual will help implement AI solutions throughout the investment process and collaborate with various teams to optimize trading strategies.

Responsibilities:

• Build AI/ML/reinforcement learning/optimization models for investment selection, optimization, execution, and more

• Implement AI solutions throughout the firm via collaboration with portfolio management, risk, and other research teams

• Access the firm’s state-of-the-art data and hardware systems

• Develop the foundational software used for AI at WorldQuant

Qualifications:

Required:

• At least 2 years of experience training AI, ML, reinforcement learning, and related models -- in the technology, academia, or quantitative trading domains

• Hands-on experience building, testing and maintaining complex software systems

• Willingness to explain and defend employed models, their interpretation and business value to the team and stakeholders

• Experience developing AI/ML algorithms and infrastructure

• Excellent knowledge of Python, NumPy and Pandas

• Experience with at least one of: XGBoost, LightGBM, CatBoost, Tensorflow, PyTorch, MOSEK, CVXPY

Preferred:

• Graduate-level research experience in Artificial Intelligence or related field, including work published and/or accepted to major a conference is a plus.

• C++ knowledge is a plus

Company:

WorldQuant is a quantitative investment management firm. Founded in 2007, headquartered in Old Greenwich, Connecticut, USA, team size 501-1000 employees, currently Late Stage. WorldQuant has a track record of offering H1B sponsorships.

Seniority level