Product Analyst Intern – Price & Transaction

Kpler
Paris, France
HybridCareer-pivot friendly

Who this role is best for

Aimed at mid-level academic candidates with data fluency who are eager to learn commodity trading and work in a collaborative, international team in Paris.

Best fit for

  • Final-year students with a quantitative or financial background who are curious about commodity markets.
    — “Final-year student: Currently completing a Master’s degree or Grande École diploma in Engineering, Finance, Data, or an applied quantitative field”
  • Candidates who are comfortable with data modeling and can translate technical findings into business insights.
    — “Run modelling studies. Take part in data-science-style studies on our arbitrage models: test hypotheses, compare model outputs with market data”
  • Individuals who value meticulous attention to detail and can maintain high-quality data standards.
    — “Quality-minded: Methodical in auditing data integrity—consistently spotting anomalies or calculation gaps”

Things to consider

  • The role requires a 6-month full-time commitment in Paris, with no mention of remote flexibility.
    — “6-month end-of-study intern in Paris”
  • The candidate must be able to work in an international team and communicate effectively in English.
    — “Fluent in English, comfortable working in an international team”

How to stand out

  • Highlight experience with SQL or Python and how you've used them for data analysis or modeling.
    — “Proficient in extracting and analyzing data with SQL and/or Python”
  • Showcase your ability to build dashboards or visualize data in a clear, structured format.
    — “transforming raw numbers into intuitive, actionable visualizations and structured tables”
  • Demonstrate familiarity with AI tools and how you apply them in data workflows.
    — “Comfortable integrating AI tools into your daily workflow”
  • Emphasize your proactive communication style and ability to write clear technical reports.
    — “skilled at writing crisp, structured updates and technical bug reports”
  • Include any coursework or project experience in statistical modeling or quantitative finance.
    — “Academic coursework or project experience in statistical modeling, quantitative finance, or econometrics”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • successful modelling studies
  • data-quality dashboards
  • test new features and releases
Typical background
final-year student in Engineering, Finance, Data, or an applied quantitative field

Skills & requirements

Required

Data AnalysisModelling StudiesSQLPythonData Visualization

Preferred

AI Tools IntegrationCommodity Markets Knowledge

Stack & domain

SQLPythonData AnalysisAIDashboardsData QualityCuriosityRigourEnthusiasmCommunicationCommoditiesEnergyMaritimeTrading

About the role

Original posting from Kpler via Lever

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 850 experts from 69 countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.

About the role

Price & Transaction is Kpler’s newest team. We add commodity prices to Kpler’s market data, and our main product, Kpler Arbitrage, answers one question: does it pay to ship a cargo from A to B? Is the price gap big enough to cover freight, losses, financing and quality differences? 

As a 6-month end-of-study intern in Paris, you’ll work next to our Trading Analysts, Product Managers & Engineers. You’ll run modelling studies, test new features and releases, build data-quality dashboards, and learn how physical trading works along the way.

Key Responsibilities:

  • Run modelling studies. Take part in data-science-style studies on our arbitrage models: test hypotheses, compare model outputs with market data, and present what you find and what it means for the product.
  • Learn the business. Learn how price benchmarks, freight and quality differences combine into an arbitrage by checking the numbers our models produce. Trading Analysts explain the market logic, and you work day to day with them & engineers.
  • Support the roadmap. Help our senior product team collect inputs from analysts and clients, document and size requests, and keep the backlog clear and prioritised.
  • Test new features and releases. Write test cases, check outputs against what the market actually does, and log bugs and feedback with clear examples and expected behaviour.
  • Build reliability dashboards that last. Design and set up dashboards tracking the freshness, coverage and quality of our price and arbitrage data, with alerts on outliers and gaps. You document them so the team can maintain them long after your internship.
  • Help on data batches. Support our data batches (mappings, route and price updates): follow QA checklists, validate results before they go out, and flag anomalies early.

Experience & Background:

You don't need to know it all yet. We'll teach you the market and the product. What we want is curiosity, rigour, enthusiasm for data and an interest in commodity markets.

Essential:

Final-year student: Currently completing a Master’s degree or Grande École diploma in Engineering, Finance, Data, or an applied quantitative field, available for a 6-month end-of-study placement.

Data-fluent: Proficient in extracting and analyzing data with SQL and/or Python, transforming raw numbers into intuitive, actionable visualizations and structured tables.

Quality-minded: Methodical in auditing data integrity—consistently spotting anomalies or calculation gaps, applying verification checklists, and taking pride in thorough, high-quality deliverables.

Smart with AI: Comfortable integrating AI tools into your daily workflow to move faster, while maintaining total accountability for verifying logic and verifying outputs before sharing.

A proactive communicator: Fluent in English, comfortable working in an international team, and skilled at writing crisp, structured updates and technical bug reports.

Nice-to-haves:

Academic coursework or project experience in statistical modeling, quantitative finance, or econometrics.

Foundational understanding of commodity markets, physical trade flows, or trading economics.

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. Are you ready to embark on this exciting journey with us?

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 color 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

Source: Kpler careers (Lever)

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