Senior Banking Risk & Analytics Consultant

Tiger Analytics; Riverwoods (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

Tiger Analytics is seeking a Sr. Consultant/Manager to join our analytics team in the United States. The role focuses on leveraging data science, ML, and risk analytics to deliver transformative banking risk and compliance solutions for Fortune 100 clients.

You will work on forecasting models, data analysis, cross-functional collaboration, and presenting findings to senior leadership. Ideal candidates have 5+ years in consulting or analytics and hands-on experience with Python, R, SQL, and Excel.

Qualifications

• 5+ years of experience in consulting, analytics, risk management roles.
• Hands-on experience with Data Science/Machine Learning algorithms.
• Proficient in data analysis and visualization tools, including Python, R, SQL, and advanced Excel.

Responsibilities

• Work in consulting engagements focused on leveraging Data Science/Advanced Analytics to solve complex business problems in banking risk and compliance.
• Data Analysis: Utilize advanced analytical techniques to identify trends, analyze data and provide insights into potential performance impacts.
• Cross-functional Collaboration: Engage with internal stakeholders, including risk management, financial planning, and credit policy teams to ensure the effective implementation of forecasting models.
• Reporting and Presentation: Prepare and present detailed reports to senior leadership, highlighting model performance, findings, and actionable insights.

Skills

Data analysis

Data visualization

Machine Learning

Model validation

Regulatory compliance

Banking risk

Forecasting

Tools

Python

R

SQL

Excel

Job description

Tiger Analytics is seeking a Sr. Consultant/Manager to join our analytics team in the United States. The role focuses on leveraging data science, ML, and risk analytics to deliver transformative banking risk and compliance solutions for Fortune 100 clients.

You will work on forecasting models, data analysis, cross-functional collaboration, and presenting findings to senior leadership. Ideal candidates have 5+ years in consulting or analytics and hands-on experience with Python, R, SQL, and Excel.