29 days ago
Chicago, IL, USAMid Level / Senior
Base Salary
$175k - $225k/yr
Responsibilities
- Design and build analytical tools for portfolio exposures, stress scenarios, capital usage, and emerging risks
- Build dashboards and visualization tools for global stakeholders
- Work with large datasets and data pipelines supporting storage, retrieval, and analysis
- Partner with risk managers to identify opportunities and rapidly translate ideas into production systems
- Collaborate with engineering, trading, quantitative research, operations, and data teams
- Own projects from concept through production deployment
Requirements
- 3–5+ years of professional software engineering experience
- Strong development skills in Java and/or Python
- Experience building and supporting production systems
- Interest in financial markets, risk management, data science, and quantitative analysis
- Strong analytical and problem-solving skills
- Preferred experience with distributed systems and service-oriented architectures
- Preferred experience with Kubernetes and containerized applications
- Preferred experience with React and modern web development
- Preferred experience with PostgreSQL, ClickHouse, and analytical databases
- Preferred experience with Parquet, Hadoop, and large-scale data platforms
- Preferred experience with data pipelines, ETL frameworks, and APIs
Benefits
- Discretionary bonus eligibility for full-time, permanent positions
- Benefits including paid leave and insurance
Tech Stack
Categories
BackendData Engineering