Specialty Finance Senior Engineer

About the role

The Specialty Finance team is looking for a hands-on technical engineer to build and own a scalable analytics and dashboard platform that tracks deal performance across private credit and specialty finance asset classes. The engineer works closely with the team and the broader technology team to define requirements, build data pipelines and metrics for large data sets, and deliver a web-based portal where dashboards and analytical tools are centrally maintained. The role also offers the chance to lead pragmatic AI initiatives.

Key responsibilities

• Design, build and maintain dashboards tracking deal/asset performance, risk and portfolio KPIs such as collateral performance, delinquency, prepayment, loss metrics, triggers/covenants, concentrations and vintage curves.
• Build a unified web portal where dashboards, reports and self-serve analytics tools are organized, versioned and accessible with appropriate permissions.
• Act as point of contact for third-party data providers to normalize and validate deal-level data.
• Support ad-hoc analysis for investment memos, portfolio reviews and ongoing surveillance.
• Own project plans and delivery cadence, including scope, milestones, dependencies and stakeholder updates.
• Liaise with the technology team to advocate for Specialty Finance requirements and ensure solutions meet firm standards.
• Work with investment stakeholders to turn their needs into technical specifications and prioritized roadmaps.
• Identify high-impact AI opportunities.

Required profile

• 10+ years of experience as a full-stack engineer in specialty finance, asset-backed finance, private credit or an adjacent buy-side setting.
• Ability to own products end-to-end in an investment environment where requirements evolve, balancing speed with quality, controls and maintainability.
• Demonstrated project management ability and strong communication skills with investors.
• Authorized to work in the country where the role is located without sponsorship.

Required skills

• Advanced Python for data engineering and analytics (pandas/numpy, API integration, scripting, testing).
• Strong SQL and hands-on Snowflake experience; experience building analytics-ready data models with large data sets.
• Dashboard and data application experience (e.g. Streamlit/Dash, Plotly, Power BI/Tableau) with attention to UX for investment professionals.
• Preferred: prior experience at a private credit/specialty finance buy-side firm, familiarity with credit concepts and performance metrics, and applied AI/ML experience.

Technical stack

• Core: Python, SQL, React
• Infrastructure: Red Hat OpenShift, containers
• Data warehouse: Snowflake, Microsoft SQL Server
• Visualization and apps: Streamlit/Dash/Plotly, Tableau
• Version control and delivery: Git, Microsoft Azure DevOps

Salary range: $150,000-$200,000, with eligibility for a discretionary bonus and a benefits package including paid time off, medical/dental/vision insurance, retirement and life insurance.