Sr. Consultant/Manager - Analytics Consulting - Banking job opportunity at Tiger Analytics Inc..

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Date2026-02-05T17:42:34.211Z bot
Tiger Analytics Inc. Sr. Consultant/Manager - Analytics Consulting - Banking
Experience: 5-years
Pattern: Full-time
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loacation Richmond, United States Of America
loacation Richmond....United States Of America
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Tiger Analytics is an advanced analytics consulting firm recognized for our deep expertise in Data Science, Machine Learning, and AI. Our partnerships with Fortune 100 companies enable us to tackle complex business challenges and drive value through innovative analytical solutions. We are currently looking for a Sr. Consultant/Manager to join our team and contribute to transformative projects. The ideal candidate will leverage their strong understanding of banking risk and compliance to develop and validate predictive models and frameworks for strategic decision-making. Responsibilities - 1. Work in a consulting engagements focused on leveraging Data Science/Advanced Analytics to solve complex business problems in banking risk and compliance. 2. Data Analysis: Utilize advanced analytical techniques to identify trends, analyze data and provide insights into potential performance impacts. 3. Cross-functional Collaboration: Engage with internal stakeholders, including risk management, financial planning, and credit policy teams to ensure the effective implementation of forecasting models. 4. Reporting and Presentation: Prepare and present detailed reports to senior leadership, highlighting model performance, findings, and actionable insights. 5+ years of experience in consulting, analytics, risk management roles. Demonstrated hands-on or solution design experience with Data Science/ Machine Learning algorithms. Proficient in data analysis and visualization tools, including Python, R, SQL, and advanced Excel. Experience with model validation and regulatory compliance related to credit risk, market risk, AML. Exceptional analytical and problem-solving skills, with a strong attention to detail. Excellent communication skills, with the ability to articulate complex concepts to non-technical stakeholders. Hands on Experience in Data science aspects of Forecasting Models like feature engineering, model selection and model application.

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