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
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.