Senior AI Research Scientist – Financial Industry

As an Applied AI Researcher, you will work within a pioneering AI research team dedicated to transforming financial services through advanced AI and machine learning solutions. You will contribute to high-impact projects across natural language processing, deep learning, and time series analysis, shaping the future of finance through innovation and technical excellence.

Quick Facts

• Hybrid work model
• Language required: fluent English, spoken and written
• Eligibility: only candidates with an existing legal right to work in the European Union will be considered

Responsibilities

• Lead the development and deployment of innovative AI/ML models tailored for financial applications.
• Collaborate across teams to implement scalable AI solutions in complex, real-world environments.
• Drive research initiatives to advance natural language processing, deep learning, and information retrieval capabilities.
• Optimize machine learning models for performance, robustness, and production readiness.
• Contribute to the continuous improvement of AI infrastructure and processes.
• Mentor junior team members and share insights to foster a culture of innovation.

Qualifications

• Master’s or Ph.D. in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or a related field.
• At least 5 years of experience in AI/ML research and engineering within industry.
• Proven expertise in building, deploying, and maintaining machine learning models in production environments.
• Strong programming skills in Python, C++, or Java.
• Experience with NLP, deep learning, and time series analysis in high-stakes environments.

Preferred Qualifications

• Experience in financial markets, including equities or fixed income.
• Contributions to open-source AI/ML projects or active community participation.
• Knowledge of cloud platforms, containerization, or scalable ML infrastructure.

Apply with a CV, preferably in English, along with a statement confirming consent to the processing and storage of personal data.