About this role
MAIN DUTIES/RESPONSIBILITIES OF THE ROLE: Essential Responsibilities:
• Combine quantitative skills, strong data engineering literacy, and deep understanding of credit products to ensure that the firm’s data architecture supports robust pricing, risk, and analytics. • Work closely with portfolio managers, analysts, and traders to understand data and research requirements and build scalable solutions. • Ingest, transform, and serve large-scale financial datasets across asset classes using Python, Snowflake, and NoSQL databases (e.g., MongoDB). • Provide first-line production support, including triaging data issues, monitoring pipeline health, and quickly responding to front office needs.
WORK EXPERIENCE/BACKGROUND:
Essential
• 5+ years of professional experience as a FO engineer, ideally in a buy-side, sell-side, or trading environment. • Deep expertise in Python, with strong software engineering practices (version control, testing, CI/CD). • Proven track record of building robust data pipelines in cloud-native environments (preferably AWS). • Experience with Docker and container-based deployments. • Strong knowledge of Snowflake and NoSQL databases (especially MongoDB). • Solid understanding of credit financial markets and instruments • Excellent problem-solving skills, with a proactive and ownership-driven mindset. • Ability to work independently, communicate effectively, and collaborate in a dynamic front office setting. • Willingness to participate in on-call or front-line production support
Desirable
• Experience with market data providers (Bloomberg, Refinitiv, etc.) • Familiarity with tools like Airflow, prefect, or other orchestration frameworks. • Experience building internal tools or dashboards using Dash, Streamlit, or similar web-based data analytics platforms.