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Da Vinci

Proprietary trading firm focused on collaboration

Graduate Trading Risk Analyst

Quantitative RiskConfirmed live in the last 24 hours
Full-timeAmsterdam, NetherlandsIn-person

About the Job

Requirements

  • Currently enrolled in or recently graduating from a Bachelor's or Master's program in Econometrics or a similar field.
  • Have a strong interest in financial markets, derivative products such as futures and options, and risk management.
  • Have experience using Python or C++ for data analysis and model development.
  • Have a solid understanding of statistics, probability, and financial modeling techniques.
  • Have strong analytical skills and attention to detail.
  • Have strong communication skills and be able to explain complex concepts clearly to technical and non-technical stakeholders.
  • Be self-motivated, curious, and comfortable taking initiative in a high-stakes environment.
  • Be able to work independently and as part of a team under time-sensitive conditions.

Responsibilities

  • Monitor and analyze trading activity, risk exposures, and profit and loss across portfolios in real time.
  • Build, enhance, and maintain quantitative tools and models for market risk assessment.
  • Perform scenario analyses, stress tests, and backtests to understand behavior under different market conditions.
  • Collaborate with traders and developers to identify and mitigate risks in fast-moving environments.
  • Design and develop tools and dashboards for visualizing risk and market dynamics.
  • Investigate anomalies in data or trading behavior to improve controls and processes.
  • Help ensure adherence to internal risk policies and contribute to developing new frameworks.
  • Support day-to-day risk monitoring and operational processes critical to trading activities.

Desired Qualifications

  • Familiarity with SQL, Excel, and Visual Basic for Applications (VBA).

About the Company

Da Vinci

Proprietary trading firm focused on collaboration

Da Vinci is a proprietary trading house that develops and operates its own trading strategies. Its teams—traders, software engineers, researchers, and founders—work closely together to create and deploy algorithmic and data-driven trading approaches, aiming to outperform traditional methods. The company emphasizes a nonhierarchical culture, flexible internal mobility, and personal growth, with ownership and collaboration at the core of daily work. Its Amsterdam base connects it to a long trading history, but the product itself is built around smart, team-driven trading ideas and execution rather than external services. The goal is to become the best proprietary trading firm in the world by continually improving how they work and grow as a team.

Company size
1-10
Company stage
Seed
Total funding
$100K
Headquarters
Verona, Italy
Founded
2016

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