At a Glance
- Tasks: Develop and maintain data-driven models for the dry bulk freight market.
- Company: Join Kpler, a dynamic company transforming global trade insights.
- Benefits: Inclusive culture, diverse team, and opportunities for personal growth.
- Why this job: Make an impact by turning complex data into actionable insights.
- Qualifications: Experience in time series forecasting and programming skills in Python or R.
- Other info: Collaborative environment with a focus on innovation and customer satisfaction.
The predicted salary is between 36000 - 60000 £ per year.
At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors. Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape.
Your future position: Kpler is looking for an experienced Quantitative Analyst to develop and maintain data-driven models of the dry bulk freight market. You will originate and own research ideas, and build analytical tools that leverage Kpler and external data, to deliver market insights to in-house analysts and clients. A key focus is expanding Kpler's dry freight market forecasts and ton‑mile demand projection.
Your Mission Is To:
- Develop, deploy, and maintain time series forecasting models for freight rate movements and ton‑mile demand.
- Build automated, reproducible analysis systems for freight market forecasting.
- Originate and own research ideas that advance Kpler's dry bulk freight offering.
- Collaborate with engineers and product owners to enhance freight market data and analytical tools.
- Identify and evaluate opportunities for future development of freight research capabilities.
- Translate complex quantitative outputs into actionable insights for analysts and clients.
- Ensure model performance through ongoing monitoring, validation, and iteration.
You could be a match if you are or have:
- Demonstrated ability to think in systems: you understand how components interact, feedback loops, and emergent behaviours in complex markets.
- Experience developing and maintaining time series forecasting models for freight rate movements.
- Some experience programming in Python, R, or a JVM-based language.
- Ability to translate complex quantitative outputs into actionable insights.
- Good sense of ownership: pragmatic problem‑solving skills, constructive critique, and the ability to iterate towards end‑to‑end solutions.
- Fluent in English: excellent communication skills and the ability to work and collaborate in an international, cross‑cultural environment.
Desirable:
- Knowledge of and experience analysing complex supply chains.
- Comfortable retrieving data from APIs and relational databases (PostgreSQL preferred).
- Understanding of the fundamental supply and demand drivers of the dry bulk freight market, how routes are priced, and the roles of commercial players in transactions.
- Knowledge of voyage economics or seasonal commodity patterns.
- Comfortable using AI coding assistants to accelerate development and problem‑solving.
We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head‑on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination.
We make things happen. We act decisively and with purpose, going the extra mile.
We build together. We foster relationships and develop creative solutions to address market challenges.
We are here to help. We are accessible and supportive to colleagues and clients with a friendly approach.
Our People Pledge: Don’t meet every single requirement? Research shows that women and people of colour are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.
By applying, I confirm that I have read and accept the Staff Privacy Notice. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Quantitative Freight Analyst - Dry Bulk employer: Kpler
Contact Detail:
Kpler Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Freight Analyst - Dry Bulk
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with Kpler employees on LinkedIn. Building relationships can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation showcasing your analytical projects, especially those related to freight markets. This will help you stand out during interviews and demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for quantitative analysts. Think about how you can relate your experiences to Kpler's mission and values.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the Kpler team and contributing to our innovative solutions.
We think you need these skills to ace Quantitative Freight Analyst - Dry Bulk
Some tips for your application 🫡
Show Your Analytical Skills: When writing your application, make sure to highlight your experience with time series forecasting models. We want to see how you've tackled complex data and turned it into actionable insights, just like we do at Kpler.
Be Yourself: Don’t stress about meeting every single requirement. We value diverse experiences and perspectives, so let your unique background shine through in your application. Remember, we’re looking for potential and passion!
Keep It Clear and Concise: Your application should be easy to read and straight to the point. Use clear language to explain your skills and experiences, especially when discussing technical aspects like programming in Python or R. We appreciate clarity!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the info you need about the role and our company there!
How to prepare for a job interview at Kpler
✨Know Your Numbers
As a Quantitative Freight Analyst, you'll need to be comfortable with data. Brush up on your time series forecasting models and be ready to discuss how you've used them in the past. Prepare specific examples of how your analytical skills have led to actionable insights.
✨Understand the Market
Familiarise yourself with the dry bulk freight market, including key supply and demand drivers. Be prepared to discuss how routes are priced and the roles of commercial players. Showing that you understand the intricacies of the market will impress your interviewers.
✨Showcase Your Programming Skills
Since programming is part of the role, be ready to talk about your experience with Python, R, or JVM-based languages. Consider bringing a small project or example of code you've written that demonstrates your ability to build analytical tools or automate processes.
✨Communicate Clearly
You’ll need to translate complex quantitative outputs into insights for analysts and clients. Practice explaining your past projects in simple terms, focusing on the impact of your work. Good communication skills are essential, especially in a cross-cultural environment like Kpler.