17 publicaciones de empleo destacadas de machine learning en parque patricios, b (¡Están contratando!)

Lead Quantitative Analytics Consultant
MetLife —Capital Federal, Buenos Aires
- Tiempo completo
Quantitative Analytics Consultant
MetLife —Capital Federal, Buenos Aires
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Quantitative Analytics Consultant
MetLife —Capital Federal, Buenos Aires
Experience applying statistical methods, predictive analytics, machine learning, or quantitative modeling techniques to business problems.
Lead Quantitative Analytics Consultant
MetLife —Capital Federal, Buenos Aires
Experience applying statistical methods, predictive analytics, machine learning, or quantitative modeling techniques to business problems.

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Lead Quantitative Analytics Consultant

MetLife -
Capital Federal, Buenos Aires

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Detalles del empleo

Tiempo completo

Descripción completa del empleo

General Information

Location

Capital Federal, Ciudad Autónoma de Buenos Aires

Working Schedule

Full-Time

Work Arrangement

In Office

Relocation Assistance Available

Posted Date

03-Jul-2026

Job ID

18779

Description and Requirements

The Opportunity

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.

Key Responsibilities

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.

Required Qualifications

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.

Preferred Qualifications

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.

Beneficios que Ofrecemos

Nuestros beneficios están diseñados para cuidar su bienestar holístico con programas para la salud física y mental, el bienestar financiero y el apoyo para las familias. Ofrecemos cobertura de atención médica para usted y su familia, descuentos en seguros para la protección del hogar, el automóvil y las mascotas, así como licencia parental. También ofrecemos membresía premium de gimnasio para usted y sus familiares directos, tiempo libre de voluntariado, descuentos con universidades específicas, viernes flexibles, reembolso de conectividad y mucho más.

Acerca de MetLife

Reconocida en la lista de la revista Fortune de las "Empresas más admiradas del mundo" de 2025 y en la lista de los 25 mejores lugares para™ trabajar en el mundo de Fortune para 2025, MetLife, a través de sus subsidiarias y afiliadas, es una de las principales empresas de servicios financieros del mundo; proporcionando seguros, anualidades, beneficios para empleados y gestión de activos a clientes individuales e institucionales.

Como parte de nuestra estrategia «New Frontier», MetLife está construyendo un futuro centrado en las personas y potenciado por la Inteligencia Artificial. Buscamos personas curiosas, con capacidad de adaptación y una mentalidad de crecimiento que quieran acompañarnos en el uso de la IA para mejorar la forma en que servimos a nuestros clientes, apoyamos a nuestras comunidades y transformamos la manera en que trabajamos. En MetLife, la inteligencia artificial es un aliado responsable que respalda el criterio humano, impulsa la creatividad y la mejora continua, ayudándonos a fomentar la confianza, la inclusión y la generación de valor a largo plazo.

Nuestro propósito es simple: ayudar a nuestros colegas, clientes, comunidades y al mundo en general a crear un futuro más seguro.Unidos por un propósito y guiados por nuestros valores fundamentales - Ganar Juntos, Hacer lo Correcto, Entregar Impacto sobre Actividad y Pensar en el Futuro - estamos inspirados para transformar el próximo siglo en los servicios financieros. En MetLife, es #AllTogetherPossible ¡Únete a nosotros!

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