Back-End Engineer - Analyst, Risk & Quant Analytics
Core
Build robust, scalable data pipelines, portfolio analytics engines, and risk management systems to support investment and trading decisions.
Role type
Senior back-end engineer (data-intensive financial systems)
Builds
Market data pipelines, portfolio and factor calculation engines, analytical data platforms, and APIs
Domain
Quantitative finance / Risk management
Deliverable
production ML models
Required skills
Backend software engineering, Data pipeline development, ETL/ELT processes, Workflow orchestration (Apache Airflow), Data quality controls, Cloud-native technologies, CI/CD pipelines, SQL/NoSQL databases, Distributed processing frameworks
Preferred skills
C#, TypeScript, Python, .NET Core, StarRocks, New Relic, Kubernetes, Docker, Terraform, CDK, RESTful APIs, WebSocket, gRPC, Mathematical/statistical foundations (probability, linear algebra, optimization), Portfolio factor models, Risk metrics
Technologies
Apache Airflow, StarRocks, New Relic, Anaconda, Kubernetes, Docker, Terraform, CDK, FastAPI, .NET Core
Responsibilities
Develop end-to-end solutions for market data ingestion and processing, Design and operate production-grade data platforms ensuring reliability and scalability, Implement data validation frameworks and operational safeguards, Build performant data processing solutions for large-scale portfolio analytics and factor calculations, Manage build, test, deployment, and monitoring processes using Agile and DevOps methodologies
Seniority
Senior, hands-on IC
