WorldQuant
WorldQuant

3 Worldquant Data Analyst Jobs Hiring Near You

AI Software Developer

New York, NY · On-site

$125K - $200K/yr

Gather, analyze and spec out requirements, and manage product deliverables. * Design and build ... WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will ...

AI Software Developer

New York, NY · Hybrid

$125K - $200K/yr

Gather, analyze and spec out requirements, and manage product deliverables. * Design and build ... WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will ...

WorldQuant Jobs Information

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Infographic showing various Data Analyst job openings at Worldquant in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, and 13% Hybrid job distribution.
AI Software Developer

AI Software Developer

WorldQuant

New York, NY • On-site

$125K - $200K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 13 days ago


Job description

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 market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform.
WorldQuant 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.
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 projects 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: We are building a new software engineering team with strong applied AI orientation to seek to amplify WorldQuant's success. The team will be focusing on creating company-wide applications to address our colleagues' every day problems. You will have a chance to work with a broad range of teams at WorldQuant, helping them to be more productive with custom solutions.
  • 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.

What You'll bring:
  • 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.

Our Benefits:
Core Benefits:
  • Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of:
    • twenty vacation days that are pro-rated based on the employee's start date, at an accrual of 1.67 days per month, three personal days, and
      ten sick days.
  • Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code
  • Training: learning and development courses, speakers, team-building off-site
  • Employee resource groups

Pay Transparency:
WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations. When finalizing an offer, we will take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.
The Base Pay Range For This Position Is $125,000 - $200,000 USD.
At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws. If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com, and we will address your concerns promptly.
By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.
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By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.
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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.