Graduate Quantitative Analyst
1 day ago
Graduate Quantitative Analyst
Working from home, travelling to London around 1 day a week
£40,000 plus Bonus and Benefits
Responsibilities
- Develop, implement, and solve advanced optimisation models (linear, integer, mixed-integer programming, etc.) to support cost, routing, refuelling, and emissions-related objectives within the shipping industry.
- Balance the trade-off between precision and computational efficiency by fine-tuning models, adjusting solver parameters, and occasionally supplementing algorithms with heuristics or metaheuristics.
- Analyse and interpret results, translating them into actionable recommendations.
- Collaborate with the team to understand requirements, gather data, validate model assumptions, and create a robust suite of testing tools.
- Implement optimisation solutions using tools such as Gurobi, CPLEX, or other solvers.
- Document methodologies, assumptions, and results for stakeholders.
- Stay up-to-date with emerging trends and technologies in optimisation and operations research.
Qualifications Required:
- Bachelor’s or Master’s degree in Operations Research, Optimisation, Mathematics, Computer Science, or a related field.
- Proficiency in mathematical optimisation techniques, including linear programming (LP), integer programming (IP), mixed-integer programming (MIP), and nonlinear programming (NLP).
- Experience with optimisation solvers such as Gurobi, CPLEX, or similar.
- Proficiency in Python.
- Strong analytical and problem-solving skills, with an affinity for complex and ambiguous problems.
- Effective communication skills to present technical concepts to non-technical stakeholders.
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