Commodities Analyst - Commodity Options (Market Making Firm)

Overview

• Commodities Analyst role within a leading market making firm, sitting inside the FICC Options group
• Team is focused on commodity options trading across a diversified set of FICC products
• Team is in build-out phase, offering a highly entrepreneurial opportunity to shape the research platform from an early stage

Team & Build-Out

• Commodity focused options desk is a relatively new initiative; firm has recently committed capital and resources to scale the platform
• With 3 flagship hires made from direct competitors over the past 6 months, the firm has made several key hires to establish the function.
• Team operates in a semi-systematic framework, combining discretionary trading with data-driven research

The Opportunity

• First dedicated analyst hire within the commodity options research function
• Highly visible role working directly with senior traders and PMs
• Opportunity to play a foundational role in building out modeling frameworks, datasets, and research infrastructure
• Direct impact on trading strategies and P&L generation

Key Responsibilities

• Develop and maintain short- and long-term supply/demand models, particularly across natural gas markets
• Build and enhance weather-driven and fundamental datasets to support trading decisions
• Conduct deep data analysis, including:
• Time series tracking of market developments and structural trends
• Large dataset processing and interpretation
• Model pricing dynamics including:
• Flat price forecasts
• Spread relationships across the curve
• Partner closely with trading teams to:
• Translate fundamental and quantitative insights into actionable, directional trading strategies
• Support idea generation and risk-taking decisions
• Contribute to the build-out of scalable research tools, including data scraping and pipeline development

Candidate Profile

• Background in Natural Gas or Weather Analytics preferred
• Experience building fundamental or data-driven supply/demand models
• Strong data skills, including experience scraping and working with large datasets
• Proficiency in Python or R is required
• Ability to operate in a fast-paced, trading-oriented environment with direct exposure to risk

Location

• New York City