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Financial Engineer

San Sebastian, Spain

Multiverse Computing

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Language courses
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Signing bonus
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Relocation bonus
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About Multiverse Computing

Multiverse is a well-funded, fast-growing deep-tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world.

With 180+ employees and growing, our team is fully multicultural and international. We deliver hyper-efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence.
Our flagship products, CompactifAI and Singularity, address critical needs across various industries:

  • CompactifAI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems—such as language models—to make them significantly more efficient and portable.
  • Singularity is a quantum- and quantum-inspired optimization platform used by blue-chip companies to solve complex problems in finance, energy, manufacturing, and beyond. It integrates seamlessly with existing systems and delivers immediate performance gains on classical and quantum hardware.

You’ll be working alongside world-leading experts to develop solutions that tackle real-world challenges. We’re looking for passionate individuals eager to grow in an ethics-driven environment that values sustainability and diversity.

We’re committed to building a truly inclusive culture—come and join us.

Position

As a Financial Engineer, you will

  • Work with clients to identify how Multiverse technologies can be used to solve their finance related problems
  • Provide expertise and guidance to the engineering teams to ensure financial principles are upheld
  • Contribute to innovating and developing solutions to financial problems with machine learning and quantum technologies
  • Join a world-class team of Quantum experts with an extensive track record in both academia and industry
  • Work with Fortune-500 customers from government and private sectors
  • Collaborate with the founding team in a fast paced startup environment
  • Invent new approaches to open problems broadly available in finance, such as those that exist in asset management, derivatives pricing, trading strategy and execution, risk management, collateral management, forecasting, and others
  • Conduct case studies for world leading financial institutions
  • Validate our financial models against the industry’s bleeding edge

Your qualification

  • Masters degree in Financial Economics or Financial Engineering;
    alternatively, Masters degree in Computer Science, Statistics, Operations Research, or Mathematics and significant work experience in Financial Engineering fields

  • Advanced knowledge of Python

  • Expertise in financial theory

  • Ability to work with experts from different professional backgrounds, both in-person and through online resources

  • Perfect command of English language

  • Team player

  • Ability to problem solve given incomplete information

Will be a plus

  • Experience with machine learning algorithms or statistical models used in Finance
  • Understanding of standard derivatives pricing models and numerical pricing methods
  • Relevant work experience in quantitative finance
  • Experience using git, unit testing, and docker

Exceptional Qualifications

  • Familiary with developing models using Tensorflow or Pytorch
  • Having previous working experience in finance, ideally in trading or portfolio management
  • Knowledge of quantum physics / quantum computing

What we offer

  • Indefinite contract.

  • Equal pay guaranteed

  • Signing bonus

  • Relocation package (if applicable)

  • Opportunity to be part of the phantom shares programme

  • Private health insurance

  • Hybrid opportunity

  • Flexible working hours

  • Holidays: 23 working days plus 14 public holidays (2023)

  • Language classes and discounted lunch options

  • Working in a high paced environment, working on cutting edge technologies

  • Career plan. Opportunity to learn and teach

  • Progressive Company. Happy people culture


Python Docker Git ML Machine Learning TensorFlow PyTorch Financial Quantitative Unit Testing
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