We are seeking an Analytics Model Development lead to drive the end-to-end development, execution, and monitoring of predictive models—spanning across areas such as acquisition, response, churn, underwriting—while managing existing client relationships and identifying new business opportunities.
This role requires deep statistical expertise, advanced data science capabilities, and strong business acumen to translate data-driven insights into effective models that balance growth, profitability, and risk mitigation. Additionally, it requires strong consultative and relationship-building skills with the ability to influence senior stakeholders and bridge the gap between technical data science and business strategy.

Qualifications
Education: Bachelor’s degree in Statistics, Mathematics, Data Science,
Economics, Operations Research, Engineering, or a highly quantitative field.
Experience: 7+ years of experience in predictive modeling, model development, or data science within management consulting, banking, or financial services.
Domain Expertise: Strong understanding of retail banking and consumer lending products (credit cards, personal loans, mortgages, auto loans) and their lifecycle dynamics.
Technical Proficiency:
Advanced proficiency in Python, R, SQL, or SAS for data manipulation
and statistical modeling.
Strong hands-on experience with regression, classification, clustering, time-series forecasting, and machine learning frameworks.
Familiarity with data visualization tools like Tableau or Power BI is a plus.

Communication & Collaboration: Excellent communication and presentation
skills, with a proven ability to translate complex data science concepts into
actionable business strategies for executive stakeholders.
Regulatory Knowledge: Solid understanding of model risk management
frameworks (e.g., SR 11-7), compliance standards, and data governance in a
regulated banking environment.
Client: Growth Mindset: Proven experience managing client relationships and
contributing to business development efforts, proposal writing, or solution
architecture.

Analytics Model Development Lead - Modelling & Analytics

Quick Overview

Job Description

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