Fraud Analytics Scientist & Senior Data Analyst

Integra FEC

Austin (TX)

On-site

USD 85,000 - 110,000

Full time

9 days ago

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Job summary

Integra FEC (Financial Economic Consulting) is a litigation and economic consulting firm that uses forensic data analytics to tackle financial fraud across securities, healthcare, and crypto assets. We seek candidates with quantitative backgrounds who are eager to learn and contribute to complex projects.

The role focuses on data-intensive investigations, scripting to retrieve and organize data, constructing large datasets, and presenting findings to clients.

Qualifications

  • 3+ years of relevant work experience.
  • Background in statistics, mathematics, engineering, computer science, data science, accounting, finance, economics, or other quantitative field.
  • Demonstrated experience with R, Python, and/or SQL.
  • Intellectual curiosity and interest in fraud analysis.
  • Strong teamwork abilities.

Responsibilities

  • Plan, develop, and take ownership in data-intensive investigations related to financial fraud.
  • Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights.
  • Construct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to analyze potentially fraudulent conduct.
  • Summarize and present findings to technical and non-technical audiences, through long-form reports, charts and slides.
  • Anticipated to grow toward managing projects and communicating with clients.

Skills

Statistics
Data analysis
Teamwork
Curiosity

Tools

R
Python
SQL

Job description

Integra FEC (Financial Economic Consulting) is a litigation and economic consulting firm that uses forensic data analytics to tackle financial fraud across securities, healthcare, and crypto assets. We seek candidates with quantitative backgrounds who are eager to learn and contribute to complex projects.

The role focuses on data-intensive investigations, scripting to retrieve and organize data, constructing large datasets, and presenting findings to clients.

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