Machine Learning Engineer

Paris, FR, Full Time.

Our team works on global and cross functional domains. As a machine learning engineer, your responsibilities will be to develop and run machine learning experiments using Python/R on our platform and on the financial investment world. Success in this position requires analytical savvy, problem-solving and a dedication to making the highest impact. We are looking for humble, client oriented, hardworking and collaborative individuals.

As a team, we will provide you with opportunities to grow and offer you a pleasant and friendly environment to thrive (remote work is the norm !).

You'll be directly with the founder and your impact will be felt immediately!

Sound interesting? Then come work at NeoInvest.

Responsibilities:

  • Develop and deploy machine learning solutions into production
  • Optimizing solutions for performance and scalability
  • Write and own the end-to-end process: build investment algorithms, synthesize relevant data needed and document it
  • Put in place process to ensure a good data flow between the data sources and the platform
  • Provide requirements, enhancements to improve the platform functionally and technically.
  • Assist, train and guide our clients in developing Machine Learning Algorithms

Requirements:

  • Machine learning expertise and knowledge on the most used ML algorithms
  • Strong mathematical and software engineering background
  • Advanced analytical skills (including data modeling) and business insight
  • Ability to build clear and concise presentations, and communicate effectively both internally and externally
  • Strong project management skills
  • MS degree on applied mathematics, computer science or data science

Bonus points:

  • You have already developed ML algorithms in finance
  • Experience on financial risk management

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