• Build predictive models to optimize lending decisions by using advanced statistical modeling and simulation techniques • Use advanced data analytics to understand consumer risk behavior trends, their impact on the portfolio, and resulting business opportunities • Support the implementation of models by working closely with the software engineering team and performing post-release checks and analysis • Assist with development of technical tools and platforms to standardize and streamline model development and monitoring processes • Establish key performance metrics and develop automated reporting dashboards using SQL and Python • Design A/B testing for models and underwriting strategies, evaluate impact, and provide recommendations • Work with cross-functional teams to explore new ways of finding insights from data and provide recommendations • Communicate concise and actionable business strategies to senior management

• Make necessary adjustments to the system based on the client's requirements • Assist the team in resolving database-related issues • Contribute to infrastructure improvements and cost-optimization initiatives • Evaluate and propose enhancements to the Copilot system • Analyze performance improvements • Develop new features and prepare releases for production deployment

• Serve as the senior analytics lead and primary advisor to senior and executive stakeholders within a major financial institution client. • Translate complex business needs into advanced analytics solutions that drive measurable improvements in acquisition, engagement, and retention. • Define and evolve the client’s analytics roadmap, introducing enhanced modeling approaches, refined data strategies, and real-time decisioning capabilities that support compliant, high-impact marketing execution. • Oversee the full analytics lifecycle, including data preparation, model development, validation, deployment, scoring, activation, attribution, and reporting. • Monitor predictive and recommendation model performance, reviewing outputs, dashboards, and KPIs to confirm targets are met, identify gaps, and recommend data-driven improvements. • Ensure adherence to financial-industry requirements, including fair lending, model governance, audit, and data-privacy standards. • Deliver clear, executive-level insights and recommendations grounded in model performance and customer behavior. • Advance the analytics function by introducing improved methodologies, tools, and processes. • Identify and recommend new predictive and prescriptive modeling approaches that strengthen precision and return on investment. • Lead documentation, testing, and monitoring practices that align with enterprise governance and risk expectations. • Partner with cross-functional teams to implement real-time marketing solutions and continuously refine model performance. • Manage and mentor analytics managers and data scientists working on the financial institution portfolio. • Ensure projects are executed on time, within scope, and at a consistently high standard of quality. • Foster a culture of accountability, innovation, and compliance discipline.

• Partner directly on growth initiatives to build, ship, measure incrementality of bookings/attach rate/revenue, and optimize 0-to-1 customer-facing features • Thought partnership with Product to define strategy, sequence iteration, scale impact via science frameworks and as the go-to tech lead around data, experimentation, and domain understanding • Build observational causal inference models to deeply understand guest intent, identify underlying mechanisms, and build data products to measure impact, and inform feature objectives and tradeoffs • Champion AI-enabled Product Understanding, to scale data-driven frameworks, robust measurement, and compelling storytelling of data learnings to guide recommendations and roadmaps with senior leaders