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.

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)

Tetra Maritime

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Quantitative Analyst