Data Scientist / Senior Data Analyst
Integra FECHighlight
Summary
About the Role
About You
- 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.
- 3-5 years of work experience at an economic consulting or management consulting firm.
- Excellent skills in R, Python, and/or SQL.
- Prior experience managing projects for clients or strong desire to grow into a project management role.
- Knowledge of financial concepts and principles.
- Knowledge of crypto, decentralized finance, or smart contracts.
- Demonstrated aptitude for research.
We are a financial and economic consulting firm that exists to restore integrity to the financial system through forensic data analytics. Integra has the academic background and the industry expertise to identify and investigate fraud, including potential misreporting by investment banks and ratings agencies, insider trading, crypto scams and fraud, and market manipulation. Our team of academic experts, data scientists, and forensic analysts works with government agencies and law firms in the following areas: 1. Expert Testimony We have a broad range of expertise in analyzing fraud in complex matters. Areas of expertise include securities manipulation, mortgage-backed securities, structured finance, real estate, credit ratings, crypto assets, blockchain, and insider trading. 2. Forensic Data Analysis We have extensive experience applying advanced analytics to investigate fraud, including predictive analysis and econometric modeling. Our expertise with big data means we can extract, transform and analyze varied data to provide defensible, empirical findings. 3. Litigation support We provide start-to-end litigation support including expert testimony. Our eDiscovery services include: data extraction and processing, data culling, intelligent search and data mining.