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CIFC Asset Management Tech Stack

Alternative credit asset manager with CLO, corporate credit, and structured products focus

Investment Management Miami, FL 51–200 employees Founded 2005 Privately Held

CIFC Asset Management operates a multi-asset credit platform built on Bloomberg, Java, C#, Python, and cloud infrastructure (Azure, AWS, GCP, Databricks). The tech stack and active projects reveal a data-intensive business: the company is scaling enterprise data pipelines, CLO pricing analytics, and surveillance tools while simultaneously tackling data consolidation and quality issues across portfolio management and capital markets workflows. Hiring velocity is accelerating across engineering, finance, and operations—a signal they're investing in automation and platform infrastructure to handle growing complexity in structured credit and direct lending.

Tech Stack 21 technologies

Core StackJava C# Python pandas NumPy AWS Databricks Active Directory Hyper-V SQL Server Azure DevOps Kubernetes Bloomberg Azure GCP PowerShell Group Policy Microsoft Defender Azure Sentinel CapIQ

What CIFC Asset Management Is Building

Challenges

  • Efficient workflows between portfolio management and capital markets
  • Data accuracy and quality
  • New issue and reset clo pipeline
  • Growing scale and complexity
  • Process improvement and technology-driven solutions
  • Tight market-driven timelines
  • Reliability of analytics
  • Consolidating data from multiple sources
  • Ensuring regulatory reporting accuracy
  • Building a golden source

Active Projects

  • Portfolio trading plans for existing funds
  • Model new portfolios for capital markets/structuring efforts
  • New issue and reset/refi clo pipeline
  • Automation and system implementation initiatives
  • Analytical tools for structured credit trading desk
  • Data pipelines for clo pricing
  • Surveillance applications for leveraged loan market
  • Enterprise data platform strategy
  • Scalable data pipelines and lakehouse infrastructure
  • Build-vs-buy data tooling recommendations

Hiring Activity

Accelerating6 roles · 6 in 30d

Department

Engineering
2
Finance
2
Legal
1
Ops
1

Seniority

Junior
2
Mid
2
Lead
1
Senior
1
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About CIFC Asset Management

Founded in 2005, CIFC Asset Management is a Miami-based alternative asset manager specializing in credit solutions: CLOs, corporate credit (senior loans and high-yield bonds), structured credit, and direct lending. The firm operates investment teams across Miami, New York, Radnor PA, and London, serving institutional clients through separately managed accounts and proprietary funds. The business requires deep technical capability: portfolio modeling, real-time CLO pricing, leveraged loan surveillance, and regulatory reporting. Current focus areas include new CLO issuance pipelines, portfolio trading automation, and enterprise data infrastructure to consolidate and govern credit analytics across business lines.

HeadquartersMiami, FL
Company Size51–200 employees
Founded2005
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does CIFC Asset Management use?

Bloomberg, Java, C#, Python, pandas, NumPy, Azure, AWS, GCP, Databricks, SQL Server, Azure DevOps, Kubernetes, and CapIQ. Stack spans trading, quantitative modeling, cloud data infrastructure, and identity management.

What is CIFC Asset Management working on?

Portfolio trading automation, CLO pricing data pipelines, leveraged loan surveillance tools, new CLO origination workflows, and enterprise data platform consolidation. Projects reflect scaling challenges in data accuracy, cross-team workflows, and regulatory reporting.

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How this profile is built

CIFC Asset Management's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.