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, and data engineering
Deliverable
production ML models | product features
Required skills
Backend software engineering, data pipeline development, ETL/ELT processes, API design, workflow orchestration, data quality controls, operational support, large-scale data processing
Preferred skills
C#, TypeScript, Python, SQL/NoSQL, OLAP databases, Apache Airflow, cloud platforms, Kubernetes, Docker, CI/CD, Infrastructure-as-Code, distributed processing frameworks, quantitative finance concepts
Technologies
C#, TypeScript, Python, React, FastAPI, .NET Core, StarRocks, Apache Airflow, New Relic, Anaconda, RESTful APIs, WebSocket, gRPC, CDK, Terraform, Kubernetes, Docker
Responsibilities
Develop end-to-end solutions for market data pipelines and portfolio analytics, design and operate data-intensive applications, implement data quality controls and validation frameworks, manage build/test/deployment processes, troubleshoot business-critical data platforms
Seniority
Senior, hands-on IC