Domain Knowledge

• Solid understanding of fixed-income securities, bank loans, and credit instruments
• Familiarity with private credit deal lifecycle: sourcing, underwriting, closing, ongoing monitoring, amendments, and valuation
• Awareness of portfolio accounting concepts (Geneva exposure is a plus) and portfolio risk frameworks (Bloomberg Port, RiskMetrics or equivalent)

General Skills

• Strong analytical and practical problem-solving skills; you reason from first principles and verify assumptions
• Excellent written and verbal communication; able to explain technical work to PMs and senior executives
• Self-starter with strong work ethic; comfortable juggling multiple workstreams under deadline pressure
• Detail-oriented, with high standards for code quality, data accuracy, and operational discipline
• Team player who collaborates well across technical and non-technical groups

Key Responsibilities:

• Build full-stack applications across our credit, private credit, and structured products platforms — backend services, APIs, data pipelines, and modern web front ends used by various business teams across the firm
• Develop quantitative models and analytics for fixed-income and structured product valuation, cash flow projections, scenario analysis, and portfolio risk decomposition
• Integrate third-party systems including Geneva (portfolio accounting), market data vendors, CRM platforms, and administrative platforms, design clean, well-tested adapters and reconciliation logic
• Participate in the Migration of legacy .NET/C# applications and SSRS reports to modern, scalable architectures (TypeScript/React front ends, Python or .NET services, cloud-deployed) with responsive UX across desktop and mobile
• Own data quality end-to-end - ingestion, normalization, validation, and lineage - for firmwide positions, partnering with the data management team on governance and controls
• Build reporting and BI spanning Tableau dashboards, internal web tooling, investor reporting, and ad-hoc requests for portfolio composition and DDQ responses
• Translate business needs into engineering — gather requirements directly from PMs, analysts, risk, IR, and operations; document functional and technical specs; write clear UAT plans and lead testing
• Ship like an engineer - write tests, use source control (GIT/TFS), open clean PRs, manage tickets in DevOps, deploy through CI/CD, and monitor what you ship in production
• Use AI coding assistants well - accelerate delivery, reduce boilerplate, and improve code quality, while applying the verification, security, and review standards described later in this document

Approximate Time Allocation

This is a hands-on builder role. A reasonable target distribution:

• 60% development - services, APIs, front-end, quant models, data pipelines
• 20% reporting and analytics development - Tableau, SQL, internal dashboards, investor / DDQ outputs
• 10% requirements gathering and analysis - partnering with the business
• 10% production support, code review, and mentoring

Benefits

• This is a remote, contract role, in either of these three locations: NYC / Dallas / Los Angeles

Originally posted on Himalayas