Integra FEC is hiring entrepreneurial and quantitatively skilled graduates with a background in economics and mathematics who are interested in applying their skills to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that works with government agencies and private entities to analyze complicated and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. 

Main responsibilities include:

• Working as a data detective to examine potentially fraudulent patterns
• Conducting qualitative and quantitative research to identify opportunities to detect fraud and identify fraud detection methods
• Building, cleaning, compiling and analyzing datasets to find insights and fraud patterns using econometrics, statistics and other forms of analyses
• Building scripts, algorithms and code to process and analyze large datasets effectively and efficiently
• Presenting findings to technical and non-technical audiences

Job Qualifications:  

• PhD in Economics required, with Finance and Mathematics background a plus
• Familiarity with Python, SQL, R, or other scripting languages 
• Proficiency in Microsoft Excel
• Attention to detail with big-picture understanding  
• Ability to work well in teams  
• Highest ethical standards.

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.

Integra FEC (Financial Economic Consulting) is hiring entrepreneurial and quantitatively-skilled individuals with data analytics experience who are interested in applying their skills to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. 

Main responsibilities include:

• 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

Job Qualifications:

Required

• Background in statistics, mathematics, engineering, computer science, data science, 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

Preferred

• 2+ years of relevant full-time experience.
• Excellent skills in R, Python, and/or SQL
• Knowledge of financial concepts and principles
• 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.

Integra FEC (Financial Economic Consulting) 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. 

Main responsibilities include:

• 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

Job Qualifications

Required

• 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
• Attention to detail
• Intellectual curiosity and interest in fraud analysis
• Highest ethical standards
• Strong teamwork abilities

Preferred

• 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.

This position is a unique opportunity to work alongside financial experts in conducting original finance and economic research. The position involves responsibilities that serve as excellent preparation for Ph.D. programs in finance or economics, including data processing and analysis, model design, simulation techniques, literature reviews, and presentations. The research fellows will work closely with Dr. John Griffin (and his co-authors) on research projects in forensic finance, blockchain and cryptocurrency, structured finance, or healthcare. Dr. Griffin is seeking applicants who are dedicated to rigorous research and motivated to study fraud. Research fellows are welcome to request recommendation letters from the financial experts with whom they work.  

Dr. Griffin is a leading expert in forensic finance, the James A. Elkins Centennial Chair in Finance at The University of Texas at Austin, McCombs School of Business, as well as CEO and president of Integra FEC. His expertise is in structured finance, credit ratings, international finance, and institutional investments with topics of papers including: the financial crisis, manipulation, cryptocurrencies, mortgage misreporting, credit ratings, insider trading, investment banking, corruption, trading behavior, and international finance. Dr. Griffin’s research has been extensively published and cited in top journals such as American Economic Review, Journal of Finance, Journal of Financial Economics, and Review of Financial Studies and featured in over 600 media outlets including Bloomberg, Wall Street Journal, New York Times, and Financial Times.  

Integra is a forensic data analytics firm that seeks to identify, investigate, and analyze securities and financial fraud. Integra’s clients include federal and state enforcement agencies. Integra has a team of experts comprising of leading academics and professionals with deep experience in trading markets, cryptocurrencies, structured finance, and credit ratings.

This is a one-year position based in Austin, TX, with the potential for a one-year extension.

Main responsibilities include:

• Conducting research to develop and investigate hypotheses in forensic finance: topics may include cryptocurrencies, derivatives, or other complex financial instruments
• Data extraction and processing: writing scripts to retrieve and organize data
• Data analysis: analyzing large datasets to find insights and fraudulent patterns, by thoughtfully applying the appropriate tools and algorithms

The desired qualifications are as follows:

• Bachelor's degree in mathematics, economics, computer science, statistics, engineering, physics, or other quantitative field
• Demonstrated experience with Python and SQL, or R
• Attention to detail
• Intellectual curiosity and interest in fraud analysis
• Highest ethical standards
• Strong teamwork abilities
• Prior research experience, either for independent research or as research assistant
• Excellent grades
• Potential interest in pursuing a Ph.D. in Finance, Statistics, Economics, or other quantitative field in the future.

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.