Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and solve advanced optimisation models for the shipping industry.
- Company: Join a leading firm in precision risk management and trading tools.
- Benefits: Enjoy competitive pay, growth opportunities, and a collaborative team environment.
- Why this job: Be part of a growing team making a real impact in the shipping sector.
- Qualifications: Ideal for graduates with quant experience or relevant university learning.
- Other info: Stay updated with the latest trends in optimisation and operations research.
The predicted salary is between 28800 - 48000 £ per year.
This range is provided by Insight. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Our client specializes in building precision risk management and trading tools for freight rates, commodity arbitrages, new fuels, and emissions. We are helping them recruit for a great graduate quant analyst for the expanding company - if you have quant experience or quant learning from University and would be interested in joining a growing team.
Main Duties
- Develop, implement, and solve advanced optimization models (linear, integer, mixed-integer programming, etc.) to support cost, routing, refueling, and emissions-related objectives for the shipping industry.
- Balance the trade-off between precision and computational efficiency by tuning models, leveraging solver parameters, and occasionally supplementing algorithms with heuristics or metaheuristics.
- Analyze 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 optimization solutions in tools such as Gurobi, CPLEX, or other solvers.
- Document methodologies, assumptions, and results for stakeholders.
- Stay current with emerging trends and technologies in optimization and operations research.
Seniority Level: Not Applicable
Employment Type: Full-time
Job Function: Analyst
Industries: Research Services and Market Research
Graduate Optimisation Analyst employer: Insight
Contact Detail:
Insight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Optimisation Analyst
✨Tip Number 1
Familiarise yourself with the specific optimisation tools mentioned in the job description, like Gurobi and CPLEX. Having hands-on experience or even completing relevant online courses can give you a significant edge during discussions.
✨Tip Number 2
Brush up on your knowledge of linear, integer, and mixed-integer programming. Being able to discuss these concepts confidently will demonstrate your readiness for the role and your understanding of the complexities involved.
✨Tip Number 3
Network with professionals in the optimisation and operations research fields. Attend relevant webinars or local meetups to connect with industry experts who can provide insights and potentially refer you to opportunities.
✨Tip Number 4
Stay updated on the latest trends in optimisation and the shipping industry. Being knowledgeable about current challenges and innovations will help you engage in meaningful conversations during interviews and show your passion for the field.
We think you need these skills to ace Graduate Optimisation Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights any relevant quant experience or coursework from university. Emphasise skills in optimisation models, programming languages, and any tools like Gurobi or CPLEX that you are familiar with.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your academic background and any projects relate to the responsibilities of a Graduate Optimisation Analyst, particularly in developing and implementing optimisation models.
Showcase Analytical Skills: Provide examples in your application that demonstrate your analytical skills. Mention specific projects or experiences where you solved complex problems or interpreted data to make recommendations, as this is crucial for the role.
Proofread Your Application: Before submitting, carefully proofread your application materials. Look for any spelling or grammatical errors, and ensure that your documents are well-structured and clearly communicate your qualifications.
How to prepare for a job interview at Insight
✨Showcase Your Quant Skills
Make sure to highlight any quant experience or relevant coursework during your interview. Be prepared to discuss specific projects or models you've worked on, especially those involving optimisation techniques like linear or mixed-integer programming.
✨Understand the Tools
Familiarise yourself with optimisation tools such as Gurobi and CPLEX. If you have experience using these or similar solvers, be ready to explain how you've applied them in past projects or academic work.
✨Prepare for Technical Questions
Expect technical questions related to optimisation models and algorithms. Brush up on key concepts and be ready to solve problems on the spot, demonstrating your analytical thinking and problem-solving skills.
✨Demonstrate Team Collaboration
Since collaboration is key in this role, be prepared to discuss how you've worked in teams before. Share examples of how you gathered data, validated assumptions, and contributed to group projects, showcasing your ability to communicate effectively.
