Job description

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.

Requirements

Must-haves

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
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

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonsql

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

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