Quantitative Analyst

Stori; Ciudad de México; Presencial; MXN 400,000 - 600,000; Jornada completa

Descripción de la vacante

A leading company in the financial sector is looking for a Quantitative Risk Analyst to support credit risk model execution and analysis. This role promises rich exposure to risk analytics, financial modeling, and regulatory compliance, making it ideal for candidates eager to leverage their analytical skills in a collaborative environment.

Formación

• Curious and eager to learn about financial risk.
• Hands-on and detail-oriented with data.
• Ability to work with large datasets.

Responsabilidades

• Execute and monitor risk models for accuracy.
• Analyze model outputs and identify trends.
• Support data preparation and analysis for model improvements.

Conocimientos

Analytical thinking

Problem-solving

Data analysis

Educación

Degree in a quantitative field

Herramientas

Python

SQL

Descripción del empleo

Job Description

JOB DESCRIPTION

As a Quantitative Risk Analyst, you will support the execution, monitoring, and analysis of credit risk models, including PD, LGD, and EAD models used for provisioning, capital planning, and forecasting. This role is hands-on, involving working with data, running models, and assisting the team with various quantitative tasks. You will work closely with risk management, finance, and data teams, gaining real-world experience in risk analytics, financial modeling, and regulatory compliance. This is a great opportunity for someone eager to learn, apply analytical skills, and develop expertise in credit risk modeling.

Key Responsibilities

• Execute and monitor risk models to ensure they run correctly and provide accurate results.
• Analyze model outputs to identify trends and potential issues.
• Assist in data preparation and analysis to support model development and improvements.
• Work with large datasets using Python and SQL to extract insights.
• Support the manager with various tasks related to quantitative modeling and regulatory requirements.
• Help document models and findings for internal and regulatory use.
• Continuously learn and apply knowledge of PD, LGD, and EAD modeling, CECL/IFRS9, and stress testing frameworks.
  
  

Who You Are

• Curious and eager to learn, with an interest in financial risk and data analysis.
• Analytical thinker who enjoys problem-solving.
• Hands-on and detail-oriented, comfortable working with numbers and large datasets.
• Good communicator, able to explain findings clearly.
• Team player, willing to support the team in different tasks.
  
  

Required Skills

• Degree in a quantitative field (Finance, Economics, Mathematics, Statistics, Data Science, Engineering, or similar).
• Prior experience with PD, LGD, EAD models are highly preferred
• Extensive knowledge of Python and SQL for data analysis.
• Strong problem-solving skills and ability to work with data and attention to detail and ability to manage multiple tasks.