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Cdo Analyst Jobs in Houston, TX (NOW HIRING)

Spruce Infotech

Data Governance Lead

Houston, TX · On-site

... CDO direction, and driving execution against the approved roadmap and milestones. The role combines ... Manage dependencies across Supply Chain, Data Engineering, Platform, and Analytics teams. Roadmap ...

FIS

Representative Lead, BPS Middle Office

Houston, TX

$87K - $148K/yr

... CDO Suite, WSO, Solvas) * Familiarity with corporate trust securities and alternative investment operations * Experience leading teams or mentoring junior colleagues * Advanced Excel or data analysis ...

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All JobsCdo Analyst JobsCdo Analyst Jobs in Houston, TX

Cdo Analyst information

See Houston, TX salary details

$33.9K

$94.6K

$121.2K

How much do cdo analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for cdo analyst in Houston, TX is $94,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,700.00 and $120,700.00 per year, depending on experience, location, and employer.

What is a CDO analyst?

CDO Analysts, or Collateralized Debt Obligation Analysts, are financial professionals who specialize in evaluating, monitoring, and managing CDOs—complex financial instruments made up of pools of loans and other assets. They perform credit analysis, review cash flows, assess risks, and provide recommendations for investment or risk mitigation. Their work involves using quantitative models and financial data to ensure that CDO portfolios meet performance and regulatory standards.

What are the key skills and qualifications needed to thrive as a CDO analyst, and why are they important?

To thrive as a CDO Analyst, you need strong analytical skills, attention to detail, and a solid understanding of structured finance products, often supported by a degree in finance, economics, or a related field. Proficiency with financial modeling tools, Excel, and industry-standard databases like Bloomberg or Intex is typically required. Excellent communication, problem-solving abilities, and teamwork make candidates stand out in this role. These skills are crucial for accurately analyzing collateralized debt obligations, managing risk, and ensuring sound investment decisions in complex financial markets.

What are the typical challenges faced by a CDO analyst when working with large datasets and how can they be addressed?

CDO Analysts frequently encounter challenges such as ensuring data accuracy, maintaining data privacy, and integrating information from multiple sources. Working with large datasets can also strain computational resources, making efficient data processing and analysis critical. These challenges are addressed by leveraging advanced data management tools, strict data governance protocols, and close collaboration with IT and data engineering teams to streamline workflows. Proactively communicating with stakeholders and pursuing ongoing professional development in data management best practices can also help CDO Analysts stay ahead of emerging challenges.

What is the difference between Cdo Analyst vs Data Analyst?

AspectCdo AnalystData Analyst
Required CredentialsBachelor's in finance, economics, or related field; certifications like CFA or FRM beneficialBachelor's in statistics, mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentFinancial institutions, investment firms, or insurance companiesVarious industries including finance, healthcare, marketing, and technology
Employer & Industry UsageUsed primarily in finance and risk management sectorsWidely used across multiple industries for data analysis tasks

The Cdo Analyst focuses on collateralized debt obligations within financial sectors, analyzing risk and structuring deals. In contrast, Data Analysts work across industries to interpret data, generate reports, and support decision-making. While both roles require strong analytical skills, the Cdo Analyst emphasizes financial instruments and risk assessment, whereas Data Analysts focus on data interpretation and visualization.

What are popular job titles related to Cdo Analyst jobs in Houston, TX?

For Cdo Analyst jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Cdo Analyst jobs in Houston, TX look for?

The top searched job categories for Cdo Analyst jobs in Houston, TX are:

Cdo Analyst jobs near you
Infographic showing various Cdo Analyst job openings in Houston, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $94,648 per year, or $45.5 per hour.

Chief Digital Officer (CDO) (Houston)

Big Resourcing

Houston, TX • On-site

Full-time

Re-posted yesterday

Job description

Chief Digital Officer (CDO)

Location: Onsite – Houston, TX

Employment Type: Full-Time

AI-Driven Platforms & Software | Genomics Laboratory

Role Overview

The Chief Digital Officer (CDO) will be a senior executive responsible for driving growth, scalability, and competitive advantage through AI-enabled software platforms in a clinical genomics laboratory. This role sits at the intersection of genomic science, AI/ML, laboratory operations, and commercial scale, with direct accountability for transforming digital capabilities into measurable business outcomes.

The CDO will lead the evolution of the company’s software, genomics platforms, LIMS ecosystem, AI-driven analytics, and client-facing integrations, enabling the organization to scale test volume, reduce turnaround times, and deliver differentiated value to health system and provider partners.

This is a builder and growth role, focused on converting genomic data, AI, and software into durable market leadership.

Core Responsibilities
  • AI Strategy & Growth Enablement
    • Define and execute an AI-first digital strategy aligned to the genomics lab’s growth objectives, including:
    • Scaling test volume without linear cost increases
    • Improving turnaround time, quality, and operational efficiency
    • Supporting expansion into new genomic assays and service offerings
    • Identify and commercialize AI use cases that directly impact revenue, margin, and customer experience
    • Partner with executive leadership and the Board to translate AI investments into sustained business growth
  • AI, Machine Learning & Genomic Analytics
    • Lead enterprise deployment of AI/ML across genomics workflows, including:
    • AI-assisted variant interpretation and prioritization
    • LLM- and NLP-based clinical reporting and interpretation support
    • Intelligent automation across accessioning, QC, and lab operations
    • Predictive analytics for lab capacity, demand forecasting, and turnaround optimization
    • Ensure AI solutions are production-grade, explainable, auditable, and suitable for regulated clinical use
    • Establish governance for responsible AI in a clinical genomics environment
  • Scalable Digital Platforms & Software Engineering
    • Own architecture and delivery of scalable, cloud-native platforms supporting:
    • LIMS extensions and genomics workflow orchestration
    • Bioinformatics pipelines and AI-enabled analytics
    • Client-facing portals and integration middleware
    • Build reusable platform components to accelerate new test launches and client onboarding
    • Balance rapid innovation with reliability, security, and compliance
  • Client-Facing Epic Aura & Health System Integrations
    • Lead scalable, repeatable Epic Aura enablement for external health system clients, including:
    • Client-specific test catalogs and order workflows
    • Structured genomic results delivery into clinical workflows
    • Status updates, metadata exchange, and operational indicators
    • Standardize integration patterns to reduce onboarding time and cost
    • Treat interoperability as a growth accelerator, not just a technical requirement
  • Data, Governance & Compliance
    • Own enterprise data strategy across genomic, clinical, and operational datasets
    • Enable secure access to data for AI training and analytics while protecting PHI and IP
    • Ensure compliance with HIPAA, CLIA, CAP, and applicable international standards
  • Leadership, Scaling & Execution
    • Build and scale teams across AI/ML, software engineering, data, and product
    • Establish operating models that support rapid experimentation and disciplined delivery
    • Mentor leaders and foster a culture of accountability, innovation, and execution
    • Manage strategic vendors, technology partners, and research collaborations
Required Qualifications
  • 12+ years of leadership experience in AI, software platforms, or digital transformation within healthcare, life sciences, or data-intensive environments
  • Proven success scaling technology platforms that directly enabled company growth
  • Deep experience taking AI/ML systems from concept through regulated production
  • Strong understanding of genomics laboratory workflows, including wet lab and dry lab operations
  • Experience supporting client-facing EHR integrations (Epic Aura or equivalent)
  • Demonstrated ability to operate effectively in regulated clinical environments
Preferred Qualifications
  • Direct experience in clinical genomics, molecular diagnostics, or genetic testing laboratories
  • Experience commercializing AI-enabled products or platforms
  • Familiarity with bioinformatics pipelines and large-scale genomic datasets
  • Prior executive leadership experience in high-growth or transformation-stage organizations

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