20 publicaciones de empleo destacadas en technical data analytics consultant (¡Están contratando!)

Oliver Wyman - Actuarial - Consultant - Mexico City
Oliver Wyman —City, Hgo.
- Tiempo completo
- Microsoft Excel
- Análisis de datos
- Microsoft Office
Technical Product Manager (OTE $70,000/year USD), Sparkrock Finance
Ionic Partners —Desde casa
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- Home Office (Desde casa)
- Azure
- Administración de personal
- Informática
Senior Analyst, Product Management
Bain & Co. —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Powerpoint
- Administración de personal
- Inglés
Postulación rápida
SAP EWM Senior Consultant
Westernacher Consulting —Ciudad de México, CDMX
- Informática
- Inglés
- Licenciatura
Agentic AI Solutions Architect - Remote, Latin America
Bluelight Consulting —Puebla, Pue.
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Inglés
- SQL
- Vacaciones adicionales o permisos con goce de sueldo
13d
Strategy & Consulting - Global Network - Supply Chain & Org - Procurement Analyst/Consultant/Manager
Accenture —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- SQL
EY- GDS- Finance- Business Consultant- Senior
EY —Miguel Hidalgo, CDMX
- Microsoft Powerpoint
- Microsoft Excel
- Oracle
Success Architect - MuleSoft (Portuguese Speaking)
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en ventas
- Salesforce
- DevOps
Cloud AI Consultant II, Professional Services (English)
Google —Ciudad de México, CDMX
- Administración de personal
- Inglés
- Licenciatura
Senior Analyst, Product Management
Bain & Company Inc —City, Hgo.
- Tiempo completo
- Microsoft Powerpoint
- Administración de personal
- Licenciatura
(CEN) PROCUREMENT PRODUCT ADVISOR
CEMEX —San Pedro Garza García, N. L.
- Administración de personal
- Inglés
- Maestría
Analytics Client Service Specialist
MSCI —Monterrey, N. L.
- Tiempo completo
- Administración de personal
- Maestría
- Licenciatura
- Permiso de maternidad y paternidad
BCG Platinion | Senior IT Architect - Financial Services
Boston Consulting Group —Ciudad de México
- Tiempo completo
- DevOps
- Inglés
- Licenciatura
Marketing Transformation (Martech) Consultant/Manager - Mexico
Accenture —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Inglés
- Maestría
EHSS Tech Program & Project Management, Senior Manager
Takeda Pharmaceutical —Cuajimalpa, CDMX
- Tiempo completo
- Administración de personal
- ERP systems
- Maestría
Marketing Transformation (Adobe) Consultant/Manager - Mexico
Accenture —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Inglés
- Maestría
Ingeniero de Confiabilidad
Clarios —Ciénega de Flores, N. L.
- Tiempo completo
- Microsoft Excel
- Administración de personal
- Mantenimiento
Success Architect - Sales Cloud
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Experiencia en ventas
- Salesforce
Success Architect - Service Cloud
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Inglés
- Permiso de maternidad y paternidad
Marketing Transformation (Martech) Sr Manager - Mexico
Accenture —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Inglés
- Maestría

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Oliver Wyman - Actuarial - Consultant - Mexico City

Oliver Wyman -
City, Hgo.

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Información del empleo

Tiempo completo

Cualificaciones

Microsoft Excel
Estadísticas
R
Análisis de datos
Matemáticas
Microsoft Office
SQL
Licenciatura
Habilidades de comunicación
Python

Descripción completa del empleo

Company:

Oliver Wyman

Description:

Company Overview

The Property and Casualty Consulting Practice assists (re)insurance companies, self-insured corporations, government entities, and other organizations with all aspects of managing property and casualty insurance exposures. We guide P&C clients on their qualitative assessment and quantification of risk and loss exposures, and offer advice on a range of issues, from external business strategy and internal risk management to economic capital modeling and new product development.

Position Summary

As a consultant in our P&C Actuarial Practice, you will engage in transformative client projects, leveraging your technical expertise and strategic insights to develop, validate, and operationalize actuarial models and methodologies. This role offers a chance to work collaboratively with cutting-edge technologies, including AI, to deliver impactful solutions around more traditional actuarial projects involving pricing, reserving, and capital modeling.

Responsibilities

Data Analytics: Conduct extensive data analyses, managing large datasets to inform strategic decision-making.

Technical Guidance: Provide insights into actuarial methodologies, ensuring high-quality outputs and adherence to governance frameworks.

Stakeholder Collaboration: Engage effectively with clients and senior stakeholders, translating complex findings into actionable recommendations.

Cross-Disciplinary Collaboration: Opportunities to work with engineering teams to translate actuarial specifications into technical requirements and validate outcomes.

Quality Management: Ensure compliance with regulatory standards and internal best practices, rigorously validating data, model outputs and assumptions.

Innovation Contribution: Enhance tools, processes, and methodologies to drive operational excellence within the practice.

Qualifications

Required

Education: BA/BS degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, or a related field.

Experience: 3+ years of actuarial experience. Commitment to pursuing CAS actuarial credentials with a minimum of 3 passed actuarial exams.

Communication Skills: Exceptional verbal and written skills to convey complex information effectively to diverse audiences.

Analytical Mindset: Strong problem-solving capabilities; intellectual curiosity to meet tight deadlines.

Microsoft Suite: Advanced Excel for data analysis and reporting.

Strong Organizational Skills: ability to prioritize, manage multiple tasks and meet project objectives and deadlines.

Preferred

AI Proficiency: Experience utilizing AI technologies for modeling and analytics.

Programming: Knowledge of programming languages (Python, R, SQL is a plus)

Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow us on LinkedIn and X.

The Actuarial Practice of Oliver Wyman, a Marsh business, advises clients across a broad spectrum of risk management issues. We are a rapidly growing group with offices expanding across the globe. Our actuaries hold the highest professional qualifications and are nationally recognized as experts in their field(s). We use mathematical and statistical modeling skills and our qualitative assessment methodologies to assist clients in evaluating and addressing risk. Our solutions help clients manage and prepare for the potential financial consequences of uncertain future events. We bring a combination of broad-based expertise with specialized knowledge of specific risks, allowing us to provide independent, objective advice in the three primary areas of risk: healthcare, life and annuity, and property and casualty.

Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

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