Researcher

Description Final is a world leader in trading algorithms and trade execution technologies development. Our multi-disciplinary teams have developed a unique and highly successful machine learning algorithmic based HFT platform that delivers excellent results.

Our research is run by an outstanding team of brilliant researchers who love the extreme challenge of beating the markets. We consistently profit in challenging markets that get increasingly efficient.

We have no customers, and no marketing. It is a pure technological and algorithmic challenge. Hence the time-to-market from a research idea until it is used and make profit by our trading machines is very short.

In a world increasingly dominated by learning machines and artificial intelligence, we at Final are especially proud of our humans. Our elite team of exceptional people are the soul of our company, and it is our top priority to provide them with a professionally fulfilling environment that supports healthy work-life balance. Our employees are encouraged to pursue their passions outside of work and we are proud to offer them a variety of opportunities, multiple resources and an agile work environment which promotes their well-being.

Our unique research team is expanding, we are looking for smart and humble team members to join the team and solve complex problems. Our technical challenges include developing new trading strategies, , improving the performance of our algorithms, finding new ways to beat the markets. As an ML researcher you will collaborate with our R&D team to execute live trading strategies. If you are looking to make an impact by putting into practice successful ideas and seeing immediately the outcome, make influence on Final’s financial performance this is a great opportunity.

In This Role You Will

• Mange and lead independent research applying ML/DL methods to a wide variety of datasets.
• Creatively find new trading strategies
• Work with other team members to optimize Final’s Algorithms

Requirements

• Masters or PhD in Computer Science, Physics, EE, Mathematics, Statistics, or a related field.
• 5+ Years of experience of ML research/Deep Learning etc.
• Experience with software engineering in Python (must) , C++/Rust is a plus.
• Strong statistical analysis and mathematical skill.
• A great team player eager to share/learn/teach other team members.
• Creative, self-motivated, love complex problems, determined.