Quantitative Analyst at Tetra Maritime

Description

• 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)