Data Scientist

Job Description

Job Description

Job Description

Plan, develop, and take ownership in data-intensive investigations of financial fraud

Conduct background research to develop hypotheses of where fraud occurs

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 detect where fraud occurs

Summarize and present findings to technical and non-technical audiences

Qualifications

Advanced degree in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative field

2+ years of prior experience

Knowledge of financial concepts and principles

Excellent skills in R, Python, and / or SQL

Attention to detail

Intellectual curiosity and interest in fraud analysis

Highest ethical standards

Strong teamwork abilities

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.