Careers

Educational Background:

• Bachelor’s degree in law, business administration, finance, or a related field.
• Advanced degrees or certifications (such as Certified Compliance & Ethics Professional (CCEP) or Certified Regulatory Compliance Manager (CRCM)) can be a plus.

Experience:

• 3-5 years of experience in compliance, legal, or regulatory roles, preferably in industries like education, finance, or a certification body.
• Experience working with regulatory bodies and industry standards related to credential verification is highly desirable.

Knowledge and Skills:

• Strong understanding of legal frameworks, regulations, and standards relevant to credential verification, such as data protection laws (GDPR, CCPA).
• Familiarity with risk management and audit procedures.
• Proficiency in compliance management software and tools to track and enforce regulatory requirements.

Educational Background:

• Bachelor’s degree in criminal justice, forensic accounting, business administration, or a related field.
• Advanced degrees or certifications in fraud examination, forensic accounting, or related areas are advantageous.

Experience:

• 3-5 years of experience in fraud investigation, forensic accounting, auditing, or law enforcement, preferably in industries like credential verification, finance, or legal services.
• Experience investigating document fraud, identity theft, or credential falsification is highly desirable.

Technical Skills:

• Analytical tools: Proficiency in tools used for data analysis, fraud detection, and case management (e.g., Excel, SQL, fraud management software).
• Digital forensics: Knowledge of techniques used in digital fraud investigation, including the ability to analyze digital certificates and detect falsified electronic records.
• Knowledge of investigative techniques: Familiarity with surveillance, document analysis, interviewing techniques, and evidence collection.
• Legal knowledge: Strong understanding of laws and regulations related to fraud, cyber crime, and compliance, such as GDPR, anti-money laundering (AML), or identity theft prevention.

Educational Background:

• Bachelor’s degree in data science, statistics, mathematics, computer science, or a related field.
• Advanced degrees (e.g., Master’s in Data Analytics, Business Analytics) or specialized certifications in data analysis can be advantageous.

Experience:

• 2-4 years of experience in data analysis, preferably in industries like verification services, fraud detection, finance, or education.
• Experience working with large datasets and performing data validation, cleaning, and analysis.
• Prior experience in fraud detection or credential verification industries is a plus.

Technical Skills:

• Proficiency in data analysis tools: Strong knowledge of tools like Excel, SQL, and data visualization tools (e.g., Tableau, Power BI).
• Programming languages: Proficiency in programming languages such as Python, R, or SAS for data manipulation and statistical analysis.
• Database management: Experience working with relational databases and querying databases to extract, manipulate, and analyze data.
• Statistical methods: Strong understanding of statistical techniques such as regression analysis, hypothesis testing, and predictive modeling.
• Machine learning: Knowledge of machine learning techniques for fraud detection or data pattern recognition is beneficial.