Full-Time
Data Engineer
WorldQuant
1,001-5,000 employees
Global quantitative asset management via algorithms
No salary listed
Noida, Uttar Pradesh, India
In Person
 Data & Analytics (1) |
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- Strong academic background – minimum of a bachelor’s degree in a technical or quantitative field
- Practical experience with and understanding of deep neural networks and other machine learning techniques
- Demonstrated ability to implement data science pipelines and real-time applications in Python
- 3+ years of relevant experience as a Data Engineer or similar roles
- Proficiency with python-based tools like Jupyter notebook, coding standards like pep8
- Exceptional analytical & problem-solving abilities, with a strong attention to detail
- Good command of English
- Excellent software development skills: ability to convert rough overall use-cases to a working codebase
- Enriching a wide range of structured and unstructured data into datasets for quantitative analysis and financial engineering
- Enhancing data quality & integrity by developing validation tools to measure the effectiveness of data enrichment
- Becoming a domain expert on different deep learning and machine earning applications, analyzing & understanding the underlying dynamics and behaviors within the data
- Develop insights based on the data and collaborate with the research team to generate signals
- Developing the utility tools that can further automate the software development, testing and deployment workflow
- Experience with LLM/AI for data processing is a plus
- Motivated by a deep curiosity and passion to learn is a plus
- Past experience as a data scientist or data engineer in finance or investment profile is a plus
- Experience with Linux/Unix shell and Git is a plus
WorldQuant is a global quantitative asset management firm that uses data, talent, and predictive algorithms to manage investments for institutional clients. Its approach centers on quantitative research and algorithmic trading, applying mathematical models to identify opportunities and execute trades in financial markets. The company earns management and performance fees based on assets under management and investment returns. What sets WorldQuant apart is its scale and culture: a worldwide footprint with over 1,000 professionals across 27 offices, a strong emphasis on data-driven research and experimentation, and a commitment to equal opportunity where employees at all levels can contribute ideas. The firm’s goal is to deliver reliable, scalable investment performance for pension funds, endowments, sovereign wealth funds, and other institutions by closely linking research, technology, and trading execution to generate client returns.
Company Size
1,001-5,000
Company Stage
N/A
Total Funding
$148.5M
Headquarters
Greenwich, Connecticut
Founded
2007
Simplify's Take
What believers are saying
- RavenPack partnership expands institutional-grade data access for BRAIN platform consultants.
- International Quant Championship attracts top talent while building brand recognition globally.
- Managing $9 billion AUM demonstrates institutional investor confidence in quantitative strategies.
What critics are saying
- Millennium Management reduces WorldQuant allocation as internal quant teams mature.
- Top BRAIN contributors defect to competitors offering full-time roles and higher compensation.
- Open-source AI models commoditize predictive algorithms, accelerating alpha decay and obsolescence.
What makes WorldQuant unique
- Alpha Factory generated 4 million alphas from unconventional datasets like parking lot traffic.
- BRAIN platform enables 1,000+ global consultants to build and monetize trading algorithms.
- Computational approach combines data mining, statistical methods, and AI for predictive trading.
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Your Connections
People at WorldQuant who can refer or advise you
Benefits
Performance Bonus
Flexible Work Hours
Company News
RavenPack and WorldQuant announce ai-powered data competition, accelerating financial innovation. PR Newswire "Data Creation Challenge" Powered by RavenPack's Bigdata.com Brings Institutional-Grade Data and Global Research Community Together Through the WorldQuant BRAIN Platform NEW YORK, Feb. 23, 2026 /PRNewswire/ - RavenPack, the AI decision infrastructure provider for financial enterprises, and WorldQuant, a global quantitative asset management firm, today announced the launch of the "Data Creation Challenge." With participation taking place exclusively on WorldQuant BRAIN, a web-based simulation platform fueled by data and technology, across the platform's global research consultant community who have met rank thresholds and passed background checks, this six-week competition is designed to advance education in AI-driven financial research. This initiative combines data from Bigdata.com, RavenPack's AI-native platform delivering decision-grade financial intelligence, with WorldQuant BRAIN, which enables registered consultants to build and submit alphas[[1]] for potential compensation. "Financial innovation accelerates when high-quality data and modern infrastructure are accessible to researchers everywhere," said Armando Gonzalez, CEO and Founder of RavenPack. "This initiative is about education and AI enablement, showing how institutional-grade intelligence can be explored responsibly and creatively by a global research community." Transparent Participation, Protected Intelligence The competition is guided by a clear principle: transparent participation, protected intelligence. The campaign is designed as an educational showcase of how datasets are built, how unstructured financial information becomes research-ready, and how collaborative data science workflows operate in practice, while fully protecting individual models, signals, and proprietary methodologies. Participants will use RavenPack's open Search API via WorldQuant BRAIN to access data on Bigdata.com to build datasets from unstructured financial content. Throughout the competition, high-level insights will be shared. "The world is at a fascinating inflection point: with the proliferation of data and AI, we're reaching a place where you can quantify almost anything," said Nitish Maini, Chief Strategy Officer at WorldQuant. "By powering innovation in dataset creation, this competition is a natural extension of the initiatives we're always looking to pursue as we seek to amplify the BRAIN platform and empower our thousands of consultants worldwide." Expanding Access to Institutional-Grade Infrastructure Updates and details regarding the "Data Creation Challenge", such as the competition overview and timeline, educational materials, and weekly highlights of creative data engineering approaches and community-level learning themes will be hosted on Bigdata.com.
WorldQuant has just announced its fifth annual International Quant Championship (IQC), a three-stage team-based competition with a prize pool of $100k.
Karolis Jankauskas joined ADIA last month from Millennium spinoff Worldquant, where he was VP of deep research data science.
WorldQuant, the Connecticut-headquartered hedge fund firm founded in 2007 by ex-video game programmer-turned portfolio manager Igor Tulchinsky, has appointed James Henderson as deputy general manager based in London, according to a report by Reuters.