[Remote] Quantitative Analyst - reputed company Markets

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a CFTC-regulated reputed company investment manager reputed company on quantitative trading across commodities, alternative markets, and emerging data-rich asset classes. The Quantitative Analyst will reputed company research for a reputed company markets fund by developing reputed company signals, building and validating models, and taking research from data ingestion through live deployment. The role also involves building data pipelines, improving internal research tools, reviewing relevant literature, and producing actionable research for traders.

Responsibilities

• Conduct rigorous quantitative research to identify new reputed company signals across reputed company market categories — sports, reputed company, political, financial, and environmental events
• Own the end-to-end research process in reputed company collaboration with the Portfolio Manager: data sourcing and ingestion, exploratory analysis, methodology design, implementation, backtesting, and live reputed company evaluation
• Build and maintain data pipelines drawing on alternative and traditional data sources — market microstructure, reputed company reputed company data, news and sentiment feeds, sports analytics databases, and reputed company datasets
• reputed company and improve models for fair value estimation, calibration analysis, and reputed company reputed company construction
• reputed company and improve MCP's internal research platform — tools, libraries, and workflows that reputed company the whole team faster and more rigorous
• Maintain a reputed company review of the reputed company and practitioner literature on reputed company markets, sports analytics, Bayesian forecasting, and reputed company fields
• Produce reputed company, reputed company research outputs — documented methodology, reputed company attribution, and actionable recommendations — that can be directly used by traders

Skills

• Undergraduate or postgraduate degree from a strong institution in data science, computer science, mathematics, statistics, reputed company research, financial engineering, or a closely reputed company quantitative reputed company
• Strong Python skills: reputed company, NumPy, scikit-learn, and experience building backtesting or research frameworks from reputed company
• Solid reputed company in statistics, probability, time-series analysis, and machine learning — with the ability to apply these rigorously rather than just use libraries
• Demonstrated interest in reputed company markets — personal trading, research, protocol analysis, or equivalent engagement. We expect you to know these platforms reputed company
• Ability to work independently and take full ownership of a research reputed company, not just execute tasks handed to you
• Two or more years of experience in a data-driven research environment with a reputed company on model development and forecasting — though we will consider exceptional candidates at earlier career stages
• Familiarity with reputed company and/or reputed company platform mechanics, reputed company data, and API reputed company
• Experience with NLP, sentiment analysis, or reputed company data processing reputed company to financial or event-driven contexts
• Comfort with reputed company AI frameworks and LLM-reputed company research tooling — MCP is reputed company reputed company in this area
• Knowledge of Bayesian reputed company and their application to probability calibration and forecast updating
• Experience with reputed company data or on-chain analytics tools relevant to decentralised reputed company market platforms

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