Remote Quant Pricing Research Scientist

Jobgether; United States; Remote; USD 185,000 - 220,000; Full time

Job summary

Jobgether in the United States seeks a senior quantitative pricing researcher to develop and deploy pricing models for collectibles and other assets. You will identify new data sources, validate signals, and work with data scientists to translate findings into production-ready solutions.

The role emphasizes rigorous backtesting, uncertainty quantification, and collaboration with pricing experts to achieve measurable improvements in valuation accuracy and market insights.

Qualifications

• Experience developing and deploying pricing or forecasting models in production.
• Strong command of statistics, experimental design, backtesting, uncertainty quantification.
• Expert-level Python and SQL for complex analyses and scalable workflows.
• Familiarity with tree-based models, ML, LLMs, time-series models, graph neural networks.
• Experience with ensemble methods and forecast combination.
• Experience using alternative data to predict market behavior.
• Deep knowledge of non-traditional, fragmented, illiquid asset markets (collectibles, cards, etc.).
• Ability to investigate pricing discrepancies and identify market inefficiencies.
• Production engineering mindset to deploy and maintain solutions.
• Hands-on AI-powered tools development experience.
• Research ownership: independent hypothesis, experiments, decisions.
• Strong communication, can explain uncertainties to stakeholders.
• Collaborative with multidisciplinary teams.
• Relevant backgrounds in quantitative research, portfolio construction, cross-market arbitrage, etc.
• Results-oriented with measurable improvements.

Responsibilities

• Develop, evaluate, and improve pricing models and forecasts across assets.
• Identify new data sources and indicators; assess value through rigorous analysis.
• Build, test production-grade models; quantify uncertainty under different conditions.
• Investigate unusual transactions and market manipulation; incorporate risk signals.
• Design cross-market pricing approaches and identify pricing discrepancies.
• Compare models; develop ensembles or blending strategies.
• Recommend production deployments and routing strategies with measurable value.
• Identify high-impact research opportunities and allocate effort accordingly.
• Partner with pricing specialists, data scientists, and ML engineers.
• Explain model behavior and findings to stakeholders clearly.
• Evaluate emerging AI models and apply them where useful.
• Create reusable tools and internal applications to strengthen capabilities.
• Deliver measurable improvements in pricing accuracy and robustness.

Skills

Quantitative Research Experience

Statistical Expertise

Programming & Data Analysis

Machine Learning Knowledge

Model Combination & Optimization

Alternative Data & Market Prediction

Alternative Asset Expertise

Market Dynamics & Pricing Judgment

Production Engineering Mindset

Practical AI Experience

Research Ownership

Communication Skills

Collaborative Approach

Relevant Professional Backgrounds

Results-Oriented Mindset

Job description

Jobgether in the United States seeks a senior quantitative pricing researcher to develop and deploy pricing models for collectibles and other assets. You will identify new data sources, validate signals, and work with data scientists to translate findings into production-ready solutions.

The role emphasizes rigorous backtesting, uncertainty quantification, and collaboration with pricing experts to achieve measurable improvements in valuation accuracy and market insights.