A boutique consulting firm in Austin is seeking entrepreneurial and quantitatively skilled individuals to investigate financial fraud. The role involves developing and managing data-intensive investigations, analyzing large datasets, and presenting findings to both technical and non-technical audiences. Ideal candidates will have a background in quantitative fields such as statistics or engineering and experience with R, Python, and SQL. Strong teamwork and intellectual curiosity are essential for success in this position.
Qualifications
Background in statistics, mathematics, engineering, computer science, data science, or other quantitative field.
Demonstrated experience with R, Python, and/or SQL.
Strong teamwork abilities.
Responsibilities
Plan and develop data-intensive investigations of financial fraud.
Conduct background research to develop hypotheses.
Summarize and present findings to diverse audiences.
Skills
R
Python
SQL
Intellectual curiosity
Teamwork
Education
Background in statistics, mathematics, computer science, or related field
Job description
A boutique consulting firm in Austin is seeking entrepreneurial and quantitatively skilled individuals to investigate financial fraud. The role involves developing and managing data-intensive investigations, analyzing large datasets, and presenting findings to both technical and non-technical audiences. Ideal candidates will have a background in quantitative fields such as statistics or engineering and experience with R, Python, and SQL. Strong teamwork and intellectual curiosity are essential for success in this position.