Private Credit Data/Software Engineer

We are seeking a Private Credit Data Scientist to sit at the intersection of software and data engineering, supporting back/middle office teams across portfolio analytics, automated reporting, accounting automation, and AI-driven workflows. This would be with our New York-based alternative asset manager client specializing in private/public credit and real estate.

Key Responsibilities

• Build and maintain automation and portfolio monitoring tools for liquidity management, accounting processes, risk reporting, performance attribution, and security master
• Design scalable data pipelines that ingest and transform structured and unstructured credit data; own data quality, validation, and lineage standards
• Develop automated reporting solutions for portfolio management and operations, including fund-level performance, risk metrics, and senior leadership dashboards
• Partner with the accounting team to automate financial calculations and fund accounting workflows, integrating accounting data with investment systems
• Collaborate with engineering, investment professionals, and operations to translate business requirements into production-ready analytical tools
• Contribute to AI and automation initiatives, including applying machine learning and language models to credit document analysis and workflow automation

Required Qualifications

• 3 years of experience in a software engineering, data science, or analytics role within private credit, structured finance, lending, or a related credit domain
• Prior experience in fixed income or credit investing is strongly preferred
• Strong proficiency in Python for data analysis, modeling, and pipeline development; hands-on experience with SQL and cloud data warehouses
• Demonstrated ability to build back/middle office software — risk, performance, cash flow, or accounting applications
• Bachelor's or Master's degree in Mathematics, Statistics, Computer Science or a related field

Preferred Qualifications

• Experience working with accounting and operations data at a credit firm
• Experience working with C# or React is preferred
• Experience with GraphQL APIs, Azure or AWS cloud infrastructure, or event-driven data architectures
• Working knowledge of large language models applied to financial document analysis or workflow automation
• Experience building self-serve dashboards or analytical tools for investment or finance teams
• Self-start with strong communication and collaboration with business users

Please note: This position is not open to 3rd party c2c agencies. No visa sponsorship provided. All applicants must have permanent US work authorization and not require sponsorship now or in the future. Locals/ daily commuting distance only, please; no remote or relocation.