Algorithm Researcher
Core
Designing and developing advanced algorithms for complex financial crime detection challenges, translating mathematical models into scalable production systems.
Role type
Senior IC algorithm researcher (AI/ML)
Builds
Scalable, production-ready AI-driven solutions for financial crime detection
Domain
Financial services / AI and Machine Learning
Deliverable
production ML models
Required skills
Linear algebra, probability theory, stochastic processes, optimization, numerical methods, statistical modeling, deep learning architectures (transformers, attention mechanisms), LLMs, RAG, embedding models, vector databases, Python, NumPy, SciPy, Pandas, algorithm design, data structures, large-scale data processing
Preferred skills
Signal processing, dynamical systems, computational physics, graph algorithms, anomaly detection, risk modeling, model optimization, quantization, distillation, academic publication record
Technologies
PyTorch, TensorFlow, Transformers, LLMs, RAG, Vector databases
Responsibilities
Designing and developing advanced algorithms for financial crime detection; Translating mathematical models into scalable production systems; Building and optimizing ML and LLM-based solutions; Working with transformers, attention mechanisms, and representation learning; Developing solutions using RAG and generative AI evaluation frameworks; Designing AI agents and autonomous decision-making pipelines; Improving model accuracy, robustness, and inference efficiency
Seniority
Senior, hands-on IC
