About the role: We are looking for an Algorithm Researcher to turn expertise, initiative, and bold thinking into real impact on the next generation of AI-driven financial crime detection.
If you combine strong mathematical and research capabilities with advanced AI expertise, and if you are motivated by turning complex theoretical concepts into scalable, production-ready algorithms that solve real-world financial crime challenges, we could be your next challenge.
?Responsibilities:
* Designing and developing advanced algorithms for complex financial crime detection challenges
* Translating mathematical models and research concepts into scalable production systems
* Building and optimizing ML and LLM-based solutions for real-world deployment
* Working with transformers, attention mechanisms, sequence modeling, and representation learning
* Developing solutions using RAG, embedding models, vector databases, and generative AI evaluation frameworks
* Designing AI agents, tool-using LLM architectures, and autonomous decision-making pipelines
* Improving model accuracy, robustness, explainability, and inference efficiency
* Collaborating with engineers, data scientists, and domain experts to bring research into production
* MSc or PhD in Physics, Applied Mathematics, Computational Mathematics, Statistics, or a related quantitative field
* 3+ years of experience in algorithm development, quantitative research, or advanced AI roles
* Strong background in linear algebra, probability theory, stochastic processes, optimization, numerical methods, and statistical modeling
* Proven experience turning mathematical concepts into robust algorithms
* Deep understanding of modern deep learning architectures, including transformers, attention mechanisms, sequence modeling, and representation learning
* Hands-on experience with PyTorch or TensorFlow
* Experience building, fine-tuning, optimizing, or deploying LLMs
* Familiarity with RAG, embedding models, vector databases, prompt engineering, and evaluation frameworks for generative AI
* Expert-level Python skills, including NumPy, SciPy, and Pandas
* Strong understanding of algorithm design, complexity analysis, data structures, and large-scale data processing
* Experience building AI-based systems in production
* Strong communication skills and the ability to explain complex concepts to both technical and business stakeholders Advantages:
* Background in signal processing, dynamical systems, or computational physics
* Experience with graph algorithms, anomaly detection, risk modeling, or information retrieval
* Experience with model optimization, quantization, or distillation
* Proven publication record
