Data Analyst – Forensics, Technology, Investigations & Discovery

Jobtailor; Illinois; On-site; USD 90,000 - 130,000; Full time

Job summary

Jobtailor is seeking a seasoned professional to lead engagement teams, apply anti-fraud strategies, and translate data analytics into actionable insights for business, risk, compliance, and technology stakeholders.

You will foster strong client relationships, provide meaningful feedback to leadership, and help advance regulatory investigations, remediation efforts, and fraud detection initiatives across complex datasets.

Qualifications

• Bachelor’s degree required in MIS, Engineering, Accounting, CS, Mathematics, Finance, Economics, Statistics, Data Processing/Analytics/Science.
• Minimum 3 years of professional experience in regulatory investigations, internal investigations, and compliance remediation.
• Knowledge of SQL, Python or R, data science skills; experience with big data tools.

Responsibilities

• Manage engagement teams and competing priorities.
• Apply anti-fraud strategies, analytics, and models.
• Communicate with business, risk, compliance, and technology stakeholders.
• Foster positive working relationships with clients.
• Provide meaningful feedback and keep leadership informed.

Skills

Regulatory Investigations

Fraud Detection Models

SQL

Python

Data Visualization

Education

Bachelor's degree in MIS/Engineering/CS/Finance

Tools

Hadoop

PySpark

Tableau

Spotfire

QlikView

Job description

Responsibilities

• Manage engagement teams and competing priorities


• Apply anti-fraud strategies, analytics, and models


• Communicate with business, risk, compliance, and technology stakeholders


• Foster positive working relationships with clients


• Provide meaningful feedback and keep leadership informed

Requirements

• Bachelor's degree in Management Information Systems, Engineering, Accounting, Computer Science, Mathematics, Finance, Economics, Statistics, Data Processing/Analytics/Science


• Minimum of 3 years of professional experience in regulatory investigations, internal investigations, and compliance remediation


• Knowledge of SQL, Python or R, data science skills


• Experience with big data tools like Hadoop and PySpark


• Experience developing fraud detection rules/models


• Familiarity with data visualization tools such as Tableau, Spotfire, or QlikView

Core Competencies

Demonstrates expertise in managing engagement teams and applying anti-fraud strategies through data analytics and modeling. Proficient in regulatory investigations and compliance remediation, with strong communication skills to engage stakeholders effectively.

Highest-signal resume keywords

• Regulatory Investigations


• Fraud Detection Models


• SQL


• Python


• Data Visualization

ATS Optimization Keywords

Hard Skills

• Data Science


• Compliance Remediation


• Analytics


• Big Data Tools


• Fraud Detection Rules

Soft Skills

• Stakeholder Communication


• Relationship Management


• Feedback Provision

Industry Keywords

• Management Information Systems


• Engineering


• Accounting


• Computer Science


• Mathematics


• Finance


• Economics


• Statistics


• Data Processing


• Data Analytics

Tools & Technologies

• Hadoop


• PySpark


• Tableau


• Spotfire


• QlikView