Quantitative Market Intelligence Analyst, Shipping & Risk

Quantitative Market Intelligence Analyst, Shipping & Risk

Full-Time 45000 - 60000 € / year (est.) No home office possible
Union Maritime

At a Glance

  • Tasks: Analyse shipping markets using quantitative methods to enhance decision-making.
  • Company: Union Maritime, a leader in shipping and risk analysis.
  • Benefits: Discretionary bonuses and private healthcare for your well-being.
  • Other info: Based in Greater London with opportunities for career advancement.
  • Why this job: Join a dynamic team and make impactful decisions in the shipping industry.
  • Qualifications: Proficiency in Python, SQL, and quantitative analysis required.

The predicted salary is between 45000 - 60000 € per year.

Union Maritime is seeking a quantitatively minded analyst to scale market intelligence and decision-making across tanker and dry bulk markets. This role requires expertise in quantitative analysis, Python, and SQL, along with an understanding of shipping markets.

The ideal candidate will work on mispricing detection, market timing, risk analysis, and performance attribution.

Benefits include discretionary bonuses and private healthcare. The position is based in Greater London, UK.

Quantitative Market Intelligence Analyst, Shipping & Risk employer: Union Maritime

Union Maritime is an excellent employer that fosters a dynamic work culture where quantitative analysis meets real-world shipping challenges. With a focus on employee growth, we offer opportunities for professional development alongside competitive benefits such as discretionary bonuses and private healthcare, all within the vibrant setting of Greater London.

Union Maritime

Contact Detail:

Union Maritime Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative Market Intelligence Analyst, Shipping & Risk

Tip Number 1

Network like a pro! Reach out to professionals in the shipping and risk sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your quantitative skills.

Tip Number 2

Prepare for interviews by brushing up on your Python and SQL skills. We recommend working through some real-world problems or case studies related to market intelligence to demonstrate your expertise during the interview.

Tip Number 3

Showcase your analytical prowess! Create a portfolio of projects that highlight your experience with mispricing detection and risk analysis. This will give you an edge and make you memorable to potential employers.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Quantitative Market Intelligence Analyst, Shipping & Risk

Quantitative Analysis
Python
SQL
Understanding of Shipping Markets
Mispricing Detection
Market Timing
Risk Analysis

Some tips for your application 🫡

Show Off Your Quant Skills:Make sure to highlight your quantitative analysis expertise in your application. We want to see how you can use Python and SQL to tackle real-world problems, especially in shipping markets.

Tailor Your CV:Don’t just send a generic CV! Tailor it to reflect your experience with mispricing detection, market timing, and risk analysis. We love seeing how your background aligns with what we do at Union Maritime.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the shipping industry and how your skills can help us scale our market intelligence efforts. Keep it engaging and relevant!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Union Maritime

Brush Up on Your Quant Skills

Make sure you're comfortable with quantitative analysis concepts. Review key statistical methods and be ready to discuss how you've applied them in past roles. This will show your potential employer that you can hit the ground running.

Get Familiar with Python and SQL

Since this role requires expertise in Python and SQL, practice coding problems related to data manipulation and analysis. Be prepared to demonstrate your skills during the interview, as they might ask you to solve a problem on the spot.

Understand the Shipping Markets

Do your homework on tanker and dry bulk markets. Familiarise yourself with current trends, challenges, and key players in the industry. This knowledge will help you answer questions confidently and show your genuine interest in the field.

Prepare for Scenario-Based Questions

Expect questions that assess your ability to detect mispricing or analyse risk. Think of examples from your experience where you successfully tackled similar challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.