Risk Analytics- Python-AI Dev - Senior
Core
Design, build, and integrate scalable, secure, and auditable analytics platforms for financial risk, regulatory compliance, internal controls, audit analytics, fraud detection, and enterprise risk management.
Role type
Senior IC Python/AI/ML engineer (risk analytics)
Builds
Scalable data pipelines, AI/ML solutions, and risk analytics platforms
Domain
Financial services / Risk consulting / AI & Data Engineering
Deliverable
production ML models | product features
Required skills
Python (expert), SQL, Microservices architecture, CI/CD, Cloud platforms (Azure), AI/LLM frameworks (Agentic, RAG, LoRA/PEFT), Power BI, Streamlit
Preferred skills
ML Ops (Kubeflow, Airflow, ML Flow), Big Data (Hadoop, Spark), Containerization (Docker, Kubernetes), AI Governance frameworks
Technologies
Python, SQL, Azure, AWS, GCP, Power BI, Streamlit, Alteryx, Docker, Kubernetes, Kubeflow, Airflow, ML Flow, Hadoop, Spark
Responsibilities
Lead design and development of Python-based AI/ML and advanced analytics solutions for risk assessment and anomaly detection; Architect, build, and optimize scalable data pipelines and workflows; Identify performance bottlenecks and implement optimizations; Enable risk analytics platforms that are explainable and auditable; Collaborate with cross-functional teams to translate risk requirements into technical solutions; Identify technology and data risks and propose mitigation strategies; Mentor junior engineers and enforce best practices
Seniority
Senior, hands-on IC