AI Research Scientist (Value Addition)

WorldQuant offers an exciting opportunity for a research scientist to join the Value Addition team. The team has created and operates Worldquant's investment evaluation system — allocating capital across Portfolio Managers, selecting alpha signals for use in trading, providing a database to portfolio managers for strategy creation, dashboards used by researchers to assess their performance, and customized analytical reports for senior management — leading to increased efficiency, focus and growth across the organization.  Reporting directly to the firm’s Chief Strategy Officer, the individual will be part of a dynamic group of researchers and business leaders on the cutting edge of quantitative finance. Together they enable the firm to measure the value added at each layer of the investment process — from data to strategies and beyond — and reflect WorldQuant’s ethos of optimization.

As a research scientist at WorldQuant, you will make a cross-functional impact and have the opportunity to:

• Build mathematical (optimization/machine learning/statistical) models for investment entity evaluation and resource allocation across them
• Contribute code implementations and maintain existing code for evaluation models
• Create on-demand analytical reports and produce business commentary on investment entities
• Operate recurring entity evaluation pipelines
• Access a variety of software and hardware resources and state-of-the-art systems

• Graduate-level calculus, linear algebra, optimization and machine learning algorithms knowledge
• Graduate-level research experience in a quantitative field
• Machine learning models research and operations experience
• Experience working with “large” datasets (>100G CSV)
• Excellent knowledge of Python, NumPy and Pandas
• Experience with at least one of: XGBoost, LightGBM, CatBoost, Tensorflow, PyTorch, MOSEK, CVXPY
• Experience with at least one of: Intel MKL, JAX, PySpark, Dask, Ray, ClickHouse, Vertica, Arrow
• C++ knowledge is a plus
• Passion for reasonable accuracy–explainability trade-offs in models
• Willingness to explain and defend employed models, their interpretation and business value to the team and stakeholders
• Ability to run full-length research work: from business idea, through data collection and model implementation, to tangible business data produced at regular frequencies
• Experience in applying AI techniques to multi modal data and draw insights to support management decision making

• Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401(k), fully paid parental leave, generous PTO with unlimited 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

WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. The estimated salary range for this position is $150,000 to $200,000 which is specific to New York and may change in the future. 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.

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