Financial Engineer

1 week ago

Toronto, Canada MULTIVERSE COMPUTING Full time

Multiverse Computing

Multiverse is a well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. We are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 160+ employees and growing, fully multicultural and international.

We provide hyper-efficient software to companies wanting to gain an edge with quantum computing and artificial intelligence. Our main product, Singularity, is used in blue-chip companies in finance, energy, manufacturing, cybersecurity and many more industries. Another product, CompactifAI, is used in Large Language Models editing.

You will be working alongside world leading experts to build solutions that tackle real life issues. We look for passionate people that want to grow in an ethics driven environment, promoting sustainability and diversity. We aim to continue building our truly inclusive culture - come and join us.


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.

Required Qualifications

  • 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.
  • Experience with machine learning algorithms or statistical models used in Finance.
  • Understanding of standard derivatives pricing models and numerical pricing methods.
  • 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.

Preferred Qualifications

  • Relevant work experience in quantitative finance.
  • Experience with numerical methods for exotic, and fixed income derivatives.
  • Experience using git, unit testing, and Docker.

Exceptional Qualifications

  • Demonstrated the ability to publish in reputable journals, showcasing high standards of research and communication.
  • Experience in client-facing roles within sales or business development.
  • Having previous working experience in finance, ideally in a quant research role or risk management.
  • Knowledge of quantum physics / quantum computing.

Perks and Benefits

  • Indefinite contract.
  • Equal pay guaranteed.
  • Variable performance bonus.
  • Signing bonus.
  • Relocation package (if applicable).
  • Private health insurance.
  • Eligibility for educational budget according to internal policy.
  • Hybrid opportunity.
  • Flexible working hours.
  • Language classes
  • Working in a high paced environment, working on cutting edge technologies.
  • Career plan. Opportunity to learn and teach.
  • Progressive Company. Happy people culture.

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