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Executive Investigative Analyst Jobs (NOW HIRING)

Nightwing

Senior SOC Analyst

Marlborough, MA · On-site

$99K - $130K/yr

This role involves investigating complex security incidents, mentoring junior analysts, and ... Advise Executive Leadership on current and future risks to their environment * Serve as a ...

Nwis

Senior SOC Analyst

Marlborough, MA

$99K - $130K/yr

This role involves investigating complex security incidents, mentoring junior analysts, and ... Advise Executive Leadership on current and future risks to their environment * Serve as a ...

News Corporation

Executive Producer, Enterprise

Manhattan, NY · On-site

$170 - $200/hr

  • Medical

  • Retirement

Executive Producer, Enterprise The Wall Street Journal is seeking an Executive Producer to lead its ... timely investigative analysis that stands out in the 24/7 information cycle. * Exceptional ...

City of Davenport, IA

Civil Rights Housing Analyst

Davenport, IA · On-site

$31.53 - $41.37/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Conducts investigations of fair housing complaints, including interviews, research, and fact ... executive orders. Customer Service and Collaboration - Knowledge of principles and processes for ...

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Executive Investigative Analyst information

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How much do executive investigative analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for executive investigative analyst in the United States is $91,602.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $104,500.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Investigative Analyst jobs?

The most popular types of Investigative Analyst jobs are:

Executive Investigative Analyst jobs near you

Senior Data Scientist (Fraud Detection and Investigative Analytics)

Node.Digital

Washington, DC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

Senior Data Scientist (Fraud Detection and Investigative Analytics)

Location: Herndon, VA (Remote Work)

Must have an Public Trust Clearance

KEY RESPONSIBILITIES

  • Review, maintain, and extend all existing loan fraud indicators developed by TSD, and provide authoritative expertise on analytic method selection.
  • Design, develop, test, calibrate, and implement advanced statistical and machine learning models targeting financial fraud, improper payments, and non compliance within SBA programs.
  • Build and refine both supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches, and tune candidate models to determine best fit.
  • Perform data quality analysis on source tables to identify abnormalities and inconsistencies, and develop repeatable processes for combining and analyzing large relational, structured, and unstructured sources.
  • Collaborate directly with criminal investigators to determine and execute analytic strategies supporting loan fraud cases, adapting analysis as case needs shift and proactively surfacing data quality issues.
  • Adhere closely to the federal rules of criminal procedure governing protected information, including Rule 6(e).
  • Develop case leads for SBA OIG investigations from model outcomes.
  • Document all methodology, test models, and production models in a form that satisfies criminal evidentiary requirements.
  • Build visualizations and dashboards that convey methodological choices, outcomes, and predictive capability, and iterate them on end user feedback.
  • Deliver findings in multiple registers: data summaries and visualizations for investigative staff, executive summaries for OIG leadership.
  • Coordinate with the data engineering seat so the architecture supports machine learning efficiently.
  • Create programming and automation techniques that improve task efficiency using SharePoint, Python, Excel, Power BI, Power Apps, and similar tools.
  • Identify new business questions that expand the scope of analysis and reporting.

Requirements

Required:

Education

Master's, Ph.D., or doctorate level equivalent degree in data science, machine learning, computer science, mathematics, or a related field. Alternatively, ten years of applied work experience in any of the same fields.

  • 5+ yearsDesigning, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised models.
  • 5+ yearsDeveloping analytic rules and models using leading edge analytic tools and best practices.
  • 5+ yearsDeveloping regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.
  • 3+ yearsProviding data support for criminal investigations into financial fraud or abuse of government funds.
  • 3+ yearsManipulating data in Python. Pandas is required.
  • 3+ yearsWorking in a modern cloud environment: Azure, AWS, or GCP. Certifications preferred.
  • 2+ yearsConducting advanced data analysis in SQL, specifically SQL Server and PostgreSQL.
  • 2+ yearsDeveloping and scaling natural language processing solutions.
  • 2+ yearsPresenting methods and findings to technical and non technical stakeholders, both orally and in written products and visualizations.

PREFERRED QUALIFICATIONS

  • Cloud certification in Azure, AWS, or GCP.
  • Direct experience with SBA loan programs, including 7(a), 504, EIDL, or PPP, or with comparable federal lending or grant fraud.
  • Entity resolution, record linkage, or graph and network analysis applied to fraud.
  • Experience producing analytic products that were used in a criminal referral or prosecution.
  • Model explainability practice such as SHAP or comparable feature attribution methods.

Benefits

We are proud to offer competitive compensation and benefits packages to include

  • Medical 
  • Dental
  • Vision
  • Basic Life 
  • Health Saving Account
  • 401K matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training

Apply