Data Scientist / Senior Data Analyst

IntegraFEC; Austin (TX); On-site; USD 70,000 - 90,000; Full time

Job summary

A financial consulting firm seeks candidates for data-intensive investigations into financial fraud. The ideal candidate should have over 3 years of experience, a strong quantitative background, and skills in R, Python, and SQL. Responsibilities include analyzing large datasets and summarizing findings for technical and non-technical audiences. No visa sponsorship is provided, and candidates must be authorized to work in the U.S.

Qualifications

• 3+ years of relevant work experience.
• Background in a quantitative field like statistics or finance.
• Excellent skills in R, Python, and/or SQL.

Responsibilities

• Plan and develop data-intensive investigations related to financial fraud.
• Write scripts to retrieve and organize data.
• Construct and analyze large datasets to identify fraudulent patterns.

Skills

R

Python

SQL

Teamwork

Analytical skills

Curiosity in fraud analysis

Education

Bachelor's degree in statistics, mathematics, engineering, computer science, data science, accounting, finance, or economics

Job description

Integra 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

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

• 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

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.