FBS Model Validation Specialist

Capgemini; México; Hybrid; MXN 420,000 - 600,000; Full time

Benefits offered by this job

Competitive salary and performance-based bonuses

Comprehensive benefits package

Career development opportunities

Flexible work arrangements

Private Health Insurance

Pension Plan

Paid Time Off

Job summary

A global consulting firm in Mexico is seeking a Model Validation Specialist. This role involves executing tests for model suitability and advising stakeholders on validation standards. Ideal candidates should have experience in data analysis and machine learning, along with a degree in a relevant analytical field. This position offers competitive salary and benefits, including flexible work arrangements.

Qualifications

• 1 to 3 years of experience executing validation tests.
• Experience with AI techniques and data bias inspection.
• Ability to present work clearly to stakeholders.
• Experience presenting work clearly to stakeholders without guidance.
• Ability to manage multiple projects and train modeling teams.

Responsibilities

• Advises Model Owners in peer review standards.
• Executes tests for higher risk models.
• Provides assurance for models across the enterprise.
• Communicate findings clearly to stakeholders and recommend mitigations.
• Support training and development for modeling teams across projects.

Skills

Model Validation

Data Analysis

Machine Learning

Financial Modeling

Model Risk Management

Generative AI

Machine Learning

Education

Bachelor's degree in Analytical field

Tools

Python

SQL

SAS

Excel

VBA

AWS

AWS

Job description

Overview

Be among the first 25 applicants. This range is provided by Capgemini. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

MX$1.00/yr - MX$1.00/yr

About the Client

Our Client is one of the United States' largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one of the largest Insurance Groups in the world.

Job Functions

This position is responsible for model validation and assessment of model suitability, including a range of activities designed to gain comfort that Model Owners adhere to the model risk management framework requirements. The role will advise Model Owners in peer review standards as well as execute tests and techniques (example stress-testing, back testing) for higher risk models. The purpose of the role is to provide assurance for models across the enterprise for both financial and non-financial models (example pricing, reserving, economic valuation, economic capital, generative AI).

Requirements

• 1 to 3 years of experience executing validation tests in accordance with the model risk management framework requirements such as critical review of data inputs and data quality, data controls, data parameters, etc
• AI techniques, inspects data bias such as potential bias introduced in data collection and / or data classification
• Experience conducting validation tests for assumptions and expert judgements and / or model simplifications and limitations. Interacts with stakeholders to present work product in a clear, concise fashion without need for guidance
• Challenges and advises stakeholders as appropriate. Establishes relationships with stakeholders and colleagues. Manages and prioritizes multiple projects through efficient time management. Inspires, leads, and trains the modeling teams. Coordinates necessary training to ensure the team is current on the developments in the catastrophe modeling field.
• Fluent in English- will work with a team in the US
• Insurance Industry Experience preferred
• Bachelor's degree preferred in Analytical field such as actuarial science, mathematics, engineering, economics

Other Critical Skills

• Model Validation - Advanced
• Financial Modeling - Intermediate
• Management Reporting - Intermediate
• Data Analysis - Intermediate
• Model Risk Management - Entry Level
• Generative Artificial Intelligence - Entry Level
• Machine Learning - Intermediate

Software / Tool Skills

• Python - Intermediate (4-6 Years)
• SQL - Intermediate (4-6 Years)
• SAS - Intermediate (4-6 Years)
• Office Suite - Intermediate (4-6 Years)
• Excel - Advanced (7+ Years)
• VBA - Intermediate (4-6 Years)
• AWS - Intermediate (4-6 Years)

Benefits

• Competitive salary and performance-based bonuses
• Comprehensive benefits package
• Career development and training opportunities
• Flexible work arrangements (remote and/or office-based)
• Dynamic and inclusive work culture within a globally renowned group
• Private Health Insurance
• Pension Plan
• Paid Time Off
• Training & Development

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.

https://www.capgemini.com/us-en/about-us/who-we-are/

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