Transform quantitative investment workflows with cutting-edge AI and machine learning — build intelligent systems that drive innovation in global markets!
Warsaw-based opportunity with a hybrid work model, including up to 2 remote days per week.
As a Senior AI/ML Software Engineer – Quantitative Finance, you will be working for our client in the global banking and markets industry, developing advanced machine learning systems and AI applications that support quantitative investment workflows. You will help deliver reliable, production-ready software while contributing to innovative research and high-impact technology initiatives.
Your main responsibilities:
- Collaborate with colleagues to advance production machine-learning systems and applications.
- Conceptualize, experiment with, and assess AI/ML-based software systems.
- Develop, test, and maintain high-quality, production-ready code.
- Provide technical leadership by taking ownership of cross-team projects.
- Create libraries and frameworks that support reliable and testable systems.
- Represent the organization at conferences and within open-source communities.
You're ideal for this role if you have:
- A minimum of 4 years of relevant industry experience.
- A Master’s or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience.
- Extensive experience developing software for quantitative investment workflows.
- Experience working with equities, fixed income, or multi-asset strategies.
- Proficiency in contemporary programming languages such as Python, C++, or Java.
- Strong expertise in developing production-ready machine-learning systems and applications.
Language Required for the role: Fluent English
Eligibility for the role: Only candidates with an existing legal right to work in Europe will be considered for this role.
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Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.
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