Senior AI/ML Researcher – Alpha Discovery
Miami, Miami-Dade County, Florida, 33222, USA
Listed on 2026-01-12
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Software Development
Data Scientist, Machine Learning/ ML Engineer
Senior AI/ML Researcher – Alpha Discovery Base Pay Range
$/yr - $1,/yr
Position SummaryAre you driven by the transformative power of AI in financial markets? Nurp is seeking a seasoned AI/ML Specialist to pioneer the next generation of our trading algorithms. This role is central to our mission, focusing exclusively on AI integration and machine learning‑driven alpha discovery. You will be responsible for designing, experimenting with, and advancing predictive models that generate high‑performing trading signals.
Your work will translate complex data into profitable strategies, pushing the boundaries of our algorithmic capabilities.
The ideal candidate has a proven track record of building advanced financial models within an institutional setting and is passionate about turning theoretical research into a measurable trading advantage. This position offers a competitive annual salary ranging from $250,000 to $1,500,000, plus a significant revenue share component.
- 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.
- 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, Num Py, Scikit‑learn, Tensor Flow/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.
- 100% Remote work.
- Revenue share compensation component.
- Health insurance.
- Dental insurance.
- Vision insurance.
- Voluntary Life Insurance.
- Paid Time Off.
- Opportunities for professional development and training.
- Access to our product and services at significant discounts and, in some instances, free.
Nurp is an equal opportunity employer committed to fostering an inclusive and diverse workforce. We encourage applicants from all backgrounds to apply, regardless of race, color, religion, age, national origin, gender, gender identity, sexual orientation, or disability.
Seniority LevelAssociate
Employment TypeFull‑time
Job FunctionOther
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