Data Scientist Senior Data Analyst

Unchain Data; Austin (TX); On-site; USD 80,000 - 100,000; Full time

Job summary

Unchain Data is seeking qualified candidates for data-intensive investigations related to financial fraud. The role requires strong quantitative backgrounds and involves planning, analyzing large datasets, and presenting findings.

Candidates should have over 3 years of relevant experience, and familiarity with R, Python, and SQL is essential. The position offers an opportunity to work in a collaborative environment focused on tackling complex data-driven projects.

Qualifications

• 3+ years of relevant work experience.
• Demonstrated experience with R, Python, and/or SQL.
• Strong teamwork abilities.

Responsibilities

• Plan, develop, and take ownership in data-intensive investigations.
• Summarize and present findings to technical and non-technical audiences.
• Anticipated to grow toward managing projects and communicating with clients.

Skills

R

Python

SQL

Attention to detail

Teamwork abilities

Education

Background in statistics, mathematics, engineering, computer science, data science, accounting, finance, economics, or other quantitative field

Job description

About Us

Integra FEC (Financial Economic Consulting) is a litigation and economic consulting firm that exists to restore integrity to the financial system through forensic data analytics. We work with government agencies and law firms in their efforts to combat a wide array of financial fraud, in areas ranging from securities to healthcare to crypto assets. We are looking for strong candidates with quantitative and financial backgrounds and a natural curiosity to learn to join our team and help tackle complex projects by efficiently analyzing data.

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

Requirements

• 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
• Attention to detail
• Intellectual curiosity and interest in fraud analysis
• Highest ethical standards
• Strong teamwork abilities
• Must be authorized to work for any employer in the U.S. (visa sponsorship not available)

Nice to Have

• Excellent skills in R, Python, and/or SQL
• Background in economic/management consulting or finance
• Knowledge of financial concepts and principles
• Knowledge of crypto, decentralized finance, or smart contracts
• Demonstrated aptitude for research