Careers.

• Design and execute experiments to enhance AI-based investment strategies with an empirical, scientific and methodical approach, delivering incremental improvements (examples: integration of additional data sources, improved feature engineering, implementation of advanced AI models, optimization, analysis and monitoring)
• Research emerging AI technologies and propose them at the appropriate stage
• Prepare and present high-quality reports of your team’s work to both internal and external stakeholders
• Collaborate with other teams to industrialize, test, document and deploy the improvement / new technology, integrating it with the existing codebase

• Master Degree in a STEM discipline with a focus on AI/Data Science (e.g. graduate coursework, thesis, projects, etc.)
• 2+ years of relevant work experience or PhD
• Proficiency with the Python Data Science stack, familiarity with SQL, Linux and CLI
• Proficient English understanding and written production, great presentation and communication skills
• Care for code quality: you know how to ensure that the code you write is maintainable, reusable and well-tested
• A general interest in finance/quantitative modelling

• Time-series modelling and forecasting with Machine Learning
• Developing/maintaining AI models in production, MLOps methodologies and containerisation (Docker)
• Project-based workflows and/or Agile development methodologies (e.g. Scrum)
• Financial data and providers such as Factset, Refinitiv, Bloomberg etc.
• Scientific publications or contributions to open-source projects

• Competitive salary for equivalent positions (sources: AlmaLaurea, Payscale.com)
• An onboarding period on our tools and workflow, tailored to your needs, to get you actively contributing to core projects the right way
• A young, vibrant, fast-paced, supporting, trusting, and open work environment
• A personal development budget for training and events (e.g. online courses, conferences, books – you name it)
• Spacious office in a high-rise building within walking distance to Modena city centre
• Flexible working hours and remote working policy
• State-of-the-art facilities and equipment
• Unlimited coffee, fruit and snacks

This is a full-time position, based in Modena, Italy. During the onboarding process, you will be expected to work on-site (in-person). A hybrid flexible remote/on-site schedule will be arranged afterwards, depending on your level of experience with remote working and subject to an assessment of your ability to work independently.

• Designing, scoping, implementing, testing, deploying and maintaining software and data pipelines at the crossing between AI and quantitative finance
• Improving and maintaining the efficiency and scalability of our codebases, proposing and implementing solutions that will remove bottlenecks and improve delivery time
• Data engineering: management, integration, cleaning, processing, feature engineering design and analysis
• Remain up-to-date with industry trends and recommend new technologies, patterns and workflows at the appropriate stage

• Master Degree in Software Engineering, Computer Science or related field (alternatively, a scientific degree and relevant professional experience will also be considered)
• 2+ years of experience developing/maintaining production software
• Proficiency with Python software development, and familiarity with DevOps methodologies, database management (MySQL), Linux and CLI
• Care for code quality: you know how to ensure that the code you write is maintainable, reusable and well-tested
• Broad understanding of core concepts in AI/machine learning and general interest in finance/quantitative modelling

• Proficient English understanding and written production, good overall presentation/communication skills
• A high degree of autonomy and initiative/go-getter attitude: you know how to get yourself unstuck when facing complex problems
• Teamwork spirit, curious mindset and a strong drive to learn and grow professionally

• Experience with cloud platforms (e.g. AWS, GCP, Azure) and/or concurrent, parallel and distributed computing platforms (e.g. Spark, Dask, Hadoop)
• Experience with MLOps methodologies and/or automating routine tasks
• Experience with NoSQL
• Experience with containerisation technologies (Docker)
• Experience with Agile development methodologies (e.g. Scrum)
• Experience with financial data and providers such as Factset, Refinitiv, Bloomberg etc.
• A PhD or scientific publications or contributions to open-source projects

• Above-average salary for equivalent positions (sources: AlmaLaurea, Payscale.com)
• A young, vibrant and fast-paced work environment
• A dedicated budget for learning (e.g. online courses, conferences, books, etc.)
• Spacious office in a high-rise building within walking distance to Modena city centre
• Flexible working hours and remote working policy
• State-of-the-art facilities and equipment
• Unlimited coffee, fruit and snacks

This is a full-time position, based in Modena, Italy. During the onboarding process, you will be expected to work on-site (in-person). A hybrid flexible remote/on-site schedule will be arranged afterwards, depending on your level of experience with remote working and subject to an assessment of your ability to work independently.