Forensics Data Analyst: Investigations & Discovery

Thinkbrg; Washington (IL); Sur place; USD 90 000 - 150 000; Plein temps

Résumé du poste

BRG is seeking a Senior Associate to contribute to fraud risk, analytics, and investigations within its Forensics, Technology, Investigations & Discovery practice. The role emphasizes data-driven approaches using SQL, Python or R, and experience with big data tools and visualization platforms.

Ideal candidates have 3+ years in regulatory/internal investigations, knowledge of anti-fraud domains across industries, and the ability to lead engagements while communicating effectively with diverse

Qualifications

• Bachelor's degree in MIS, Engineering, Accounting, Computer and Information Science, Mathematics, Finance, Economics, Statistics, Data Processing/Analytics/Science.
• Minimum of three (3) years of professional experience in regulatory investigations, internal investigations, and compliance remediation work.

Responsabilités

• Apply anti-fraud analytics, models, and operations.
• Manage engagement teams and competing priorities in a growing, cross-functional environment.
• Communicate with business, risk, compliance, operations, technology, and analytics stakeholders on client engagements.
• Gather information from client management and staff at all levels to perform services.
• Present materials to convey complex ideas to clients and internal staff.
• Maintain project economics while remaining flexible for unanticipated issues.

Connaissances

SQL

Python

R

Data science

Machine learning

Social network analysis

Formation

MIS

Engineering

Accounting

Computer & Information Science

Mathematics

Finance

Economics

Statistics

Data Processing/Analytics/Science

Outils

Hadoop

PySpark

Cloud computing

Cloud ML tools

Description du poste

BRG is seeking a Senior Associate to contribute to fraud risk, analytics, and investigations within its Forensics, Technology, Investigations & Discovery practice. The role emphasizes data-driven approaches using SQL, Python or R, and experience with big data tools and visualization platforms.

Ideal candidates have 3+ years in regulatory/internal investigations, knowledge of anti-fraud domains across industries, and the ability to lead engagements while communicating effectively with diverse