Quantitative Analyst
AI job insight
Tetra Maritime is seeking a quantitatively minded analyst to scale market intelligence and decision-making across tanker and dry bulk markets. The role focuses on mispricing detection, market timing, risk analysis, performance attribution, and quantitative modelling using Python and SQL.
- Identify tanker and dry bulk mispricing and scale opportunity evaluation to hundreds per week.
- Develop probabilistic market-timing models for TD20, TD25 and TD3 routes.
- Quantify fleet exposure and assess TC-in/TC-out strategies and derivatives overlays.
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Tetra Maritime is seeking a quantitatively minded analyst to scale market intelligence and decision-making across tanker and dry bulk markets. The role focuses on mispricing detection, market timing, risk analysis, performance attribution, and quantitative modelling using Python and SQL.
- Identify tanker and dry bulk mispricing and scale opportunity evaluation to hundreds per week.
- Develop probabilistic market-timing models for TD20, TD25 and TD3 routes.
- Quantify fleet exposure and assess TC-in/TC-out strategies and derivatives overlays.
- Build analytical models with Python, SQL and AI-assisted coding tools.
- The posting lists 3–5 years of experience.
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- Required3+ years of relevant experienceThe job post includes a minimum experience signal.
- PreferredPractical evidence in call_center, technology, financeThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in NigeriaThe vacancy is associated with this location.
- UnclearComfort with the Other contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Quantitative Analyst evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Tetra Maritime and the role in Nigeria.
- Add concrete examples related to call_center, technology, finance, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from Jobgurus Nigeria; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- Jobgurus Nigeria
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Quantitative Analyst role in call_center, technology?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Nigeria under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Tetra Maritime before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Use AI to apply better
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Original source 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
- 3–5 years in a markets-focused analytical role
- (e.g., shipping research, commodities/equities research, quant/systematic trading, fund analytics, or similar)
- Click here to Apply
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