Data Scientist/AI/ML Engineer

Quod Financial is a leading Trading software provider for capital markets. Quod Financial's products are intended for execution and liquidity research for stock exchanges, banks, and brokers. Quod Financial's solutions cover Equities, Derivatives and Currencies. Quod Financial is present in Asia, Europe and the United States. 

Our Data Science team has had a series of successful Generative AI and Machine Learning projects for both internal usage (ex : chat bots or coding assistants) and Quod’s product development (ex : time series and curve prediction). Building on its success, the team is upscalling and you would join us in this context, to be part of the ongoing AI/ML transformation of the company.

You will be working on tasks such as : 

Upgrade and maintain our production models/applications : 

• Optimizing the models, when/if required
• Work on minimizing the computing usage
• Build metrics for determining the usage of our AI/ML…

Participate in new initiatives (part of new AI/ML projects) : 

• Conduct workshops with stakeholders, participate in framing use cases 
• Build POCs, validate, present them
• Build productized ML/AI solutions…

Skills set :

• Solid knowledge of machine learning modeling 
• Solid knowledge of Generative AI and LLms(e.g. work with Open Source LLMs and frameworks such as Ollama or Longchain)
• Solid knowledge of Python and AI/ML corresponding frameworks (Tensorflow, Keras, SkLearn..)
• Solid knowledge data manipulation (SQL, Pandas)
• Knowledge of AI deployment technologies, including Docker, Streamlit etc.
• Knowledge of Git and collaborative development 
• knowledge of C++ would be a plus. 
• Comfortable with Shell scripting.
• Excellent presentation skills
• Fluent English
• Willing and able to work independently.

We offer:

• Work on the company’s own product — a trading platform
• Very technical and complex product, therefore, you should be a technical person
• Annual paid vacation 20 working days and 10 days of sick leave
• The warm and friendly working atmosphere
• Work in an international team
• Stable, long-term project
• Type of contract — B2B or Mandate
• Polish public holidays — days off

Hiring Process Steps:

1. HR Screening - 30 min
2. Interview with a team manager - 45 min
3. Technical Test
4. Technical interview - 60 min