Lead Quantitative Analytics Consultant

MetLife; Buenos Aires; Remote; ARS 227.183.000 - 287.765.000; Vollzeit

Zusammenfassung

MetLife’s Financial Management Group seeks a Lead Quantitative Analytics Consultant to drive advanced analytics across the U.S. Group Disability business. You will partner with Pricing, Finance, Operations, and Underwriting to develop analytical frameworks that inform critical decisions and improve business outcomes.

The role combines business strategy with analytics and innovation, requiring curiosity and the ability to thrive in ambiguity while shaping future analytics directions.

Qualifikationen

• Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Actuarial Science, or related quantitative discipline.
• 5+ years of experience in data science, quantitative analytics, actuarial science, predictive modeling, or related field.
• Strong analytical and quantitative problem-solving skills with large datasets.
• Advanced proficiency in Excel and programming languages such as Python, R, or SQL.
• Experience applying statistical methods, predictive analytics, ML, or quantitative modeling to business problems.
• Ability to translate analytical findings into clear recommendations for technical and non-technical audiences.
• Experience with Alteryx and Power BI for reporting.
• Experience with cloud-based data environments, Databricks, or large-scale data platforms.
• ASA designation toward Fellowship or equivalent experience.

Aufgaben

• Lead advanced analytics initiatives supporting Disability pricing, performance, projections, and operational effectiveness.
• Create predictive models, statistical analyses, and analytical frameworks to improve business outcomes and decision-making.
• Design and execute treatment/control and quasi-experimental analyses to measure the impact of business initiatives.
• Manage cost-benefit analyses, forecasting exercises, and business case assessments supporting strategic priorities.
• Develop early warning indicators, performance monitoring approaches, and driver analyses to identify trends and opportunities.
• Oversee model governance, validation standards, and analytical best practices for quality and relevance.
• Coordinate with stakeholders and reporting teams to deliver scalable analytics solutions, dashboards, and actionable insights.
• Support ongoing model maintenance, refreshes, monitoring, and reporting activities.

Kenntnisse

Advanced analytics

Predictive modeling

Statistical methods

Data visualization

Excel

Ausbildung

Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Actuarial Science, or related

Tools

Python

R

SQL

Alteryx

Power BI

Databricks

Jobbeschreibung

Join MetLife’s Financial Management Group (FMG), a strategic financial engine driving critical decision-making through financial planning, analysis, and risk management. As a member of the team, you'll be involved in topics including financial reporting, treasury, corporate actuarial, tax, investor relations and mergers and acquisitions. Positioned at the intersection of finance and strategy, you'll help ensure that MetLife meets customer obligations while supporting strategic objectives. Develop expertise across disciplines in a collaborative, results-driven environment while maintaining the financial strength and competitive edge of one of the world's leading institutions.

The Lead Quantitative Analytics Consultant is responsible for driving advanced analytics and data-driven decision making across MetLife’s U.S. Group Disability business.

Guided by our purpose - always with you, building a more confident future - and our New Frontier strategy focused on stronger growth, attractive returns, and all-weather performance, this is an exciting opportunity to help shape how analytics, predictive modeling, and AI are used to improve business outcomes.

This role sits at the intersection of business strategy, analytics, and innovation. You will partner with leaders across Pricing, Finance, Operations, Product, and Underwriting to solve complex business challenges, uncover actionable insights, and develop analytical frameworks that support critical decisions.

Success in this role requires curiosity, strong quantitative thinking, and the ability to thrive in an environment where not every solution is predefined. You will have the opportunity to help build new ways of working while influencing the future direction of analytics within the Disability business.

• Lead advanced analytics initiatives supporting Disability pricing, business performance, projections, and operational effectiveness.
• Create predictive models, statistical analyses, and analytical frameworks to improve business outcomes and decision-making.
• Design and execute treatment/control and quasi-experimental analyses to measure the impact of business initiatives.
• Manage cost-benefit analyses, forecasting exercises, and business case assessments that support strategic priorities.
• Develop early warning indicators, performance monitoring approaches, and driver analyses to identify emerging trends and opportunities.
• Oversee model governance, validation standards, and analytical best practices to ensure quality, reliability, and business relevance.
• Coordinate with business stakeholders and reporting teams to deliver scalable analytics solutions, dashboards, and actionable insights.
• Support ongoing model maintenance, refreshes, monitoring, and reporting activities while continuously identifying opportunities for enhancement and innovation.
• Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Actuarial Science, or a related quantitative discipline.
• Strong analytical and quantitative problem-solving skills with the ability to work effectively with large and complex datasets.
• Advanced proficiency in Excel and experience using analytical programming languages such as Python, R, or SQL.
• Experience applying statistical methods, predictive analytics, machine learning, or quantitative modeling techniques to business problems.
• Ability to translate complex analytical findings into clear recommendations for technical and non-technical audiences.
• Strong communication, collaboration, and stakeholder management skills.
• Associate of the Society of Actuaries (ASA) designation with progress toward Fellowship, or equivalent advanced quantitative experience.
• 5+ years of experience in data science, quantitative analytics, actuarial science, predictive modeling, or a related field.
• Experience within insurance, employee benefits, financial services, or other data-intensive industries.
• Experience using Alteryx to prepare, transform, and analyze data.
• Familiarity with Power BI or similar visualization tools to build, maintain, and enhance reporting solutions.
• Experience with cloud-based data environments, Databricks, or large-scale data platforms.
• Knowledge of predictive modeling techniques such as GLMs, classification models, segmentation, or time series analysis.
• Experience supporting model governance, validation, or regulatory compliance initiatives.
• Ability to navigate ambiguity, challenge existing approaches, and develop innovative analytical solutions to complex business problems.