Data Analyst - Forensics, Technology, Investigations & Discovery

Location: New York, NY, United States. Candidates must provide verification of their legal right to work in the U.S. without company sponsorship.

Salary: $90,000–$150,000 per year

Company

hirify.global provides consulting services in disputes, investigations, forensic technology, cybersecurity, corporate finance, and performance improvement.

What you will do

• Develop anti-fraud strategies, analytics, operations, detection rules, and machine learning models.
• Analyze data using SQL, Python or R, supervised and unsupervised machine learning, and social network analysis.
• Work with big data and cloud technologies, including Hadoop, PySpark, and cloud machine learning tools.
• Support regulatory investigations, internal investigations, and compliance remediation engagements.
• Manage engagement teams, project priorities, documentation, project economics, and client deliverables.
• Communicate complex findings to business, risk, compliance, operations, technology, analytics, and client stakeholders.

Requirements

• Bachelor’s degree in MIS, engineering, accounting, computer and information science, mathematics, finance, economics, statistics, or a related data analytics discipline.
• At least three years of professional experience in regulatory investigations, internal investigations, and compliance remediation.
• Experience with fraud detection in e-commerce, payments, healthcare, or banking is expected.
• Experience with data visualization tools such as Tableau, Spotfire, or QlikView.
• Legal right to work in the U.S. without company sponsorship is required.

Nice to have

• Experience with Actimize, FICO Falcon, SAS Fraud Management, or similar fraud-detection platforms.
• Database, programming, cloud, DevOps, AI, CPA, PMI, or Certified Fraud Examiner certifications.

Culture & Benefits

• Work in a cross-functional, fast-paced, interactive, results-based consulting environment.
• Collaborate with specialist consultants, industry experts, academics, and data scientists.
• Engage with clients and stakeholders across business, risk, compliance, operations, technology, and analytics.