We are looking for a quantitatively minded analyst to help scale our market intelligence and decision-making capabilities across tanker and dry bulk markets. This role sits at the intersection of data, markets, and strategy—focusing on identifying mispricing, improving market timing, and strengthening risk and performance frameworks.

Requirements

Mispricing Detection

• Operate and extend our “live terminal” of S&P and TC-in/out opportunities
• Pressure-test breakeven, valuation, and forward-curve assumptions behind deals
• Build quantitative cases for or against opportunities
• Scale evaluation from a handful of opportunities to hundreds per week

Market Timing

• Co-develop models to anticipate peaks and troughs in core markets (TD20, TD25, TD3)
• Frame forecasts probabilistically (distributions vs point estimates)
• Translate model outputs into actionable decisions across chartering, hedging, and S&P timing

Risk & Exposure Analysis

• Quantify fleet exposure under different market scenarios
• Evaluate TC-in/TC-out strategies and derivatives overlays
• Build frameworks for sell/hold decisions and opportunity cost analysis

Performance Attribution

• Measure outcomes of decisions on a like-for-like basis
• Distinguish between decision quality and market-driven outcomes
• Feed insights back into models to continuously improve performance

Tooling & Data

• Curate and expand proprietary datasets and analytical tools
• Develop and refine models to support decision-making
• Leverage AI coding tools (e.g., Copilot, Claude Code) to accelerate output and insight generation

Candidate Profile

Quantitative Mindset

• Strong grounding in regression, time-series analysis, probability, and machine learning
• Ability to reason under uncertainty and validate model assumptions
• Background in statistics, econometrics, finance, or quantitative research preferred

Shipping Market Knowledge

• Experience or strong interest in shipping markets
• Background in brokerage, ownership, funds, or consultancy is a plus
• Market intuition valued alongside technical capability

Technical Skills

• Working proficiency in Python and SQL
• Ability to read, modify, and deploy analytical code
• Familiarity with AI-assisted coding tools (e.g., Copilot, Claude Code)

Builder’s Mindset

• Comfortable iterating quickly from hypothesis to prototype
• Willing to discard and rebuild approaches as needed
• Focused on impact over perfection

Experience

• 3–5 years in a markets-focused analytical role
  (e.g., shipping research, commodities/equities research, quant/systematic trading, fund analytics, or similar)