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Build the Future of Investment Technology

Join a high-velocity, AI-native team reshaping European capital markets through cutting-edge technology and innovative research.

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Why Diligent Yield

What it means to work with us

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High-Velocity Environment

Fast, research-driven, and AI-first. We move quickly, iterate and push the boundaries of what's possible in quantitative finance.

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Ownership & Initiative

Real responsibility from day one. Your ideas shape our models, infrastructure, and future markets. No bureaucracy, just impact.

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Global & Remote-Friendly

Cross-functional team across Zurich, Denmark, and the US. Work where you're most productive, collaborate globally.

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Research-Driven Culture

Learn, experiment, iterate. Challenge the status quo and contribute to cutting-edge research in AI and quantitative finance.

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Early-Stage Impact

Founded in 2024, we're building from the ground up. Shape the company's trajectory and grow with us as we scale.

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Growth-Centric

Continuous learning opportunities, technical challenges, and exposure to advanced AI systems. Your professional growth is our priority.

Explore our vacancies below or send us an unsolicited application at

What We Offer

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Direct Impact

Influence real trading systems and investment decisions

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AI-Native Culture

Research environment with high autonomy

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Flat Structure

Your ideas are implemented, not buried

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Fast Growth

Opportunities in a rapidly scaling company

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European Focus

Shape the future of EU capital markets

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Competitive Package

Market-rate compensation with equity options

Open Positions

Join our growing team

Junior ML Engineer – Trading Systems

πŸ“ Zurich, Switzerland (Hybrid) ⏱️ Full-time πŸ’Ό 5–7 years experience

About the Role

Diligent Yield is looking for a Junior ML Engineer with strong experience in machine learning, market modeling, or quantitative trading environments. You will work closely with our AI researchers and digital trading agents team to build, optimize, and deploy models that power our investment decision systems across European and global markets.

This role blends applied ML, time-series modeling, signal engineering, and real-market constraints. You'll contribute to our forecasting engines, ML pipelines, and simulation frameworks β€” and directly influence our trading strategies.

Responsibilities

  • Develop and improve ML models for forecasting, classification, and regime detection
  • Work with quantitative researchers to integrate model outputs into trading agents
  • Implement real-time inference pipelines across multiple asset classes
  • Build and maintain backtesting, simulation, and validation tools
  • Analyze market microstructure patterns and model behavior under stress
  • Contribute to data pipelines, feature engineering, and data-quality scoring
  • Monitor model performance and support continuous retraining workflows
  • Collaborate across AI, research, and engineering teams to push product boundaries

Minimum Requirements

  • 5–7 years experience in ML engineering or quantitative modeling
  • Strong Python skills (NumPy, Pandas, PyTorch/TensorFlow, scikit-learn)
  • Experience with financial data, trading signals, or time-series forecasting
  • Understanding of market structures (equities, ETFs, FX; derivatives is a bonus)
  • Practical experience with backtesting frameworks or MLOps pipelines
  • Ability to write clean, production-grade code
  • Strong analytical mindset and comfort with experimentation

Bonus Skills

  • Experience with LLM-based qualitative analysis or NLP models
  • Knowledge of reinforcement learning or agent-based systems
  • Exposure to execution algorithms or liquidity modeling
  • Familiarity with GPU workflows or distributed training
  • Experience in fast-paced startups or research environments

What We Offer

  • Direct impact on real trading systems and investment decisions
  • A modern, AI-native research culture with high autonomy
  • Flat structure β€” your ideas are implemented, not buried
  • Fast growth opportunities in a rapidly scaling company
  • A chance to shape the future architecture of EU capital markets

How to Apply

Send your application to:

Include:

  • CV / Resume
  • Short motivation letter
  • Links to GitHub, Kaggle, research papers, or personal projects (optional but appreciated)
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Don't See a Role That Fits You?

We're always looking for exceptional engineers, researchers, and quantitative thinkers who want to shape the future of investment technology.

If you're passionate about AI, finance, and building innovative systems, we'd love to hear from you β€” even if there isn't a specific opening listed.

Send Unsolicited Application

Ready to Build With Us?

Join a team that's redefining investment technology for the European market. We're moving fast, and we want you on board.