The Core Responsibilities Of The Job:

• Model Development & Roadmap (20%)
• Develop and implement model development frameworks.
• Research new methodologies for solving classification, regression, and segmentation problems.
• Create scalable solutions and track performance metrics.
• Maintain technical documentation and ensure compliance with banking regulations.
• Enable data-driven decision-making and develop business use cases for product redesigns.

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  Analytical Analysis & Value Measurement (50%)
• Gather data from internal systems and establish repeatable analysis processes.
• Design A/B experiments and track impact from various initiatives.
• Design and manage dashboards to track model performance and monitor trends.
• Conduct ad-hoc analyses to support business decision-making.
• Create business cases for necessary analytical software.
• Implement automation for evaluating business strategies.

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  Leadership & Cross-Functional Collaboration (30%)
• Lead and mentor the team, managing resource capacity and workload.
• Provide guidance on problem-solving and experiment design.
• Collaborate with various teams to deliver quality analysis, interpretation of findings, and insights.
• Support marketing, product, customer experience, and contact center teams with strategic engagements and customer insights.
• Engage with external vendors for data integration and explore new data pipelines.
• Manage stakeholder needs and expectations with timely updates and reporting.
• Provide oversight for internal and external data science projects.
• Manage ad-hoc data requests from executives and support strategic business decisions.

Let's Talk About You!

• Bachelor’s or master’s degree in business administration, Engineering, Math, Computer Science, or a related field.
• 6+ years of experience in data science roles, preferably in financial services.
• Proficiency in data scripting languages (e.g., SQL, Python, R) and statistical software (e.g., R, SAS, Matlab).
• Strong business acumen and problem-solving skills.
• Excellent communication skills, particularly in presenting to senior leadership.
• Proficient in MS Office (Excel, Access, Power Point).
• Knowledge of model risk management best practices.
• Understanding of the mortgage/personal banking industry is an asset.