Our team works on global and cross functional domains.
As a machine learning engineer, your responsibilities will be to develop and run machine learning
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
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.
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
data needed and document it
Put in place process to ensure a good data flow between the data sources and the
Provide requirements, enhancements to improve the platform functionally and
Assist, train and guide our clients in developing Machine Learning Algorithms
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
You have already developed ML algorithms in finance