AI Software Developer at WorldQuant

London, England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Quantitative Trading, TechnologyIndustries

Requirements

Strong programming skills, preferably in Python
Exceptional analytical skills and a passion for solving complex problems
Thorough understanding of how AI works and familiarity with language models
Understanding of vector databases and other relevant data structures
Working knowledge in various databases and messaging technologies is a strong plus (SQL, Redis, Kafka etc.)
Excellent communication skills in English
Mature, thoughtful attitude with the ability to operate in a collaborative, team-oriented culture
A strong delivery mind-set, drive to get things done
Experience in finance is not required

Responsibilities

Collaborate with cross-functional distributed teams
Gather, analyze and spec out requirements, and manage product deliverables
Design and build scalable AI-driven products addressing real-world problems
Stay current with the latest technical advancements, particularly in the field of AI and LLMs

Skills

Key technologies and capabilities for this role

AISoftware EngineeringPythonScalable SystemsProduct DesignRequirements Analysis

Questions & Answers

Common questions about this position

What programming skills are required for the AI Software Developer role?

Strong programming skills, preferably in Python, are required. Working knowledge in various databases and messaging technologies like SQL, Redis, and Kafka is a strong plus.

What AI-related knowledge is needed for this position?

A thorough understanding of how AI works and familiarity with language models are required, along with understanding of vector databases and other relevant data structures.

What is the company culture like at WorldQuant?

WorldQuant has a culture that pairs academic sensibility with accountability for results, encouraging open thinking, challenging conventional ideas, and continuous improvement in a relaxed yet intellectually driven environment.

Is the role remote or does it require office work?

This information is not specified in the job description.

What makes a strong candidate for this AI Software Developer position?

Strong candidates demonstrate intellectual horsepower, exceptional analytical skills, a passion for solving complex problems, excellent communication skills, a mature collaborative attitude, and a strong delivery mindset.

WorldQuant

Quantitative asset management using algorithms

About WorldQuant

WorldQuant is a quantitative asset management firm that focuses on managing investments for institutional clients like pension funds and sovereign wealth funds. The firm uses data and predictive algorithms to analyze financial markets and identify investment opportunities. Its approach involves algorithmic trading, where mathematical models guide investment decisions. Unlike many competitors, WorldQuant encourages a culture of experimentation and innovation among its employees, allowing everyone to contribute ideas regardless of their position. The company's goal is to generate returns for its clients while maintaining a commitment to equal opportunity in the workplace.

Greenwich, ConnecticutHeadquarters

2007Year Founded

$148.5MTotal Funding

N/ACompany Stage

Quantitative Finance, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Performance Bonus

Flexible Work Hours

Risks

Increased competition from AI-driven investment firms like ADIA.

Regulatory scrutiny on algorithmic trading practices is increasing globally.

Market volatility challenges the performance of algorithmic trading models.

Differentiation

WorldQuant employs over 1,000 professionals across 27 global offices.

The firm uses predictive algorithms to manage assets and generate client returns.

WorldQuant emphasizes equal opportunity, allowing all employees to contribute meaningfully.

Upsides

Increased focus on alternative data sources is gaining traction in quantitative finance.

Machine learning integration in portfolio management allows better market trend predictions.

Quantum computing offers potential for faster, complex calculations in algorithmic trading.

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