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Nurp · 1 day ago

Senior AI/ML Researcher – Alpha Discovery

United States

Full-time

Remote

Senior Level

$250K/yr - $1,500K/yr

5+ years exp

Nurp is seeking a seasoned AI/ML Specialist to pioneer the next generation of their trading algorithms. This role focuses on AI integration and machine learning-driven alpha discovery, where you will design, experiment with, and advance predictive models to generate high-performing trading signals.

Financial Services

Growth Opportunities

Responsibilities

Alpha Research & Discovery: Focus on designing and experimenting with machine learning-driven alpha models. Your primary mission is the discovery of new, predictive signals

Predictive Modeling: Develop and implement sophisticated machine learning models to forecast market trends and asset prices

Feature Engineering & Data Experimentation: Dedicate significant effort to feature engineering and testing new datasets to improve model performance

Model Optimization: Continuously experiment with and optimize model parameters and architectures to enhance forecasting accuracy and robustness

Strategy Integration: Collaborate directly with the quantitative strategists and developers to ensure alpha signals are effectively translated into executable and profitable trading strategies

Data Pipeline Ownership: Define data requirements and ensure research workflows are supported with clean, structured, and reliable datasets by overseeing and maintaining the end-to-end data pipeline

Perform other related duties as assigned or necessary

Qualification

Machine LearningPredictive ModelingFinancial Market AcumenPythonFeature EngineeringModel OptimizationData Pipeline ManagementCollaborative ExecutionHighly Organized

Required

Proven Alpha Generation: A demonstrated and institutionally proven ability to design intricate ML algorithms and a focus on creating innovative, high-signal alpha models

Expert-Level Machine Learning: Deep expertise in machine learning techniques, statistical analysis, and predictive modeling as applied to financial markets

Technical Proficiency: High proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch)

Collaborative Execution: Strong collaborative skills to work effectively with quantitative and data teams, ensuring research seamlessly integrates into the trading stack

Financial Market Acumen: In-depth understanding of financial markets, trading strategies, and what constitutes a viable alpha signal

Highly Organized & Proactive: Dependable, detail-oriented, and capable of driving research projects from conception to completion with limited supervision

Master's or Ph.D. in Computer Science, Quantitative Finance, Statistics, or a related field

At least 5+ years of proven experience applying machine learning techniques to financial markets, specifically for alpha discovery

A proven track record of developing trading algorithms or signals within a hedge fund, prop trading firm, or fintech company

Proficiency in Python and familiarity with major machine learning frameworks