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Tetra Maritime

Quantitative Analyst

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeLagos, NigeriaNo salary listedIn-person

About the Job

Requirements

  • Strong grounding in regression, time-series analysis, probability, and machine learning.
  • Ability to reason under uncertainty and validate model assumptions.
  • Experience or strong interest in shipping markets.
  • Working proficiency in Python and SQL.
  • Ability to read, modify, and deploy analytical code.
  • Familiarity with AI-assisted coding tools such as Copilot and Claude Code.
  • Three to five years in a markets-focused analytical role, such as shipping research, commodities or equities research, quantitative or systematic trading, fund analytics, or similar.

Responsibilities

  • Operate and extend the live terminal of sale and purchase and time-charter-in/time-charter-out opportunities.
  • Pressure-test breakeven, valuation, and forward-curve assumptions behind deals.
  • Build quantitative cases for or against opportunities and scale evaluation from a handful of opportunities to hundreds per week.
  • Co-develop models to anticipate peaks and troughs in core markets, including TD20, TD25, and TD3.
  • Frame forecasts probabilistically using distributions rather than point estimates.
  • Translate model outputs into actionable decisions across chartering, hedging, and sale and purchase timing.
  • Quantify fleet exposure under different market scenarios.
  • Evaluate time-charter-in/time-charter-out strategies and derivatives overlays.
  • Build frameworks for sell/hold decisions and opportunity-cost analysis.
  • Measure decision outcomes on a like-for-like basis and distinguish decision quality from market-driven outcomes.
  • Feed insights back into models to continuously improve performance.
  • Curate and expand proprietary datasets and analytical tools.
  • Develop and refine models to support decision-making.
  • Leverage AI coding tools such as Copilot and Claude Code to accelerate output and insight generation.

Desired Qualifications

  • Background in statistics, econometrics, finance, or quantitative research.
  • Background in brokerage, ownership, funds, or consultancy.

About the Company

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