Financial Modelling Vice President
@ Citi

Mumbai, Maharashtra, India
$150,000
On Site
Full Time
Posted 22 days ago

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Job Details

Overview

The Financial Modelling Vice President is a strategic Quantitative Lead Analyst at Citi. This role contributes to directional strategy, provides technical authority, and manages complex risk models. Candidates need to demonstrate strong commercial awareness, advanced quantitative skills, and the ability to communicate complex risk analytics to diverse audiences.

Responsibilities

  • Develop and enhance methods for measuring and analyzing various risks including market, credit, and operational.
  • Manage model risk across the full model life-cycle including development, performance evaluation, and annual reviews.
  • Produce analytics and reporting for managing risk and translating business requirements into technical criteria.
  • Guide and communicate detailed technical findings to diverse audiences and senior management.
  • Represent Citi in regulatory interactions and provide challenge to model assumptions.

Qualifications

  • 6-10 years experience in risk management and quantitative analysis.
  • Proficiency in Microsoft Office, especially Excel, and SAS or similar statistical software.
  • Excellent communication, project management, and organizational skills.
  • Practical experience in model development or validation in financial institutions.
  • Bachelor’s degree required; Master’s degree preferred.

Key Skills/Competency

  • Risk Modeling
  • Quantitative Analysis
  • Model Validation
  • Data Analysis
  • Regulatory Compliance
  • Communication
  • Excel Expertise
  • SAS
  • Strategic Thinking
  • Project Management
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How to Get Hired at Citi

🎯 Tips for Getting Hired

  • Customize Resume: Tailor your resume to highlight risk modeling skills.
  • Research Citi: Understand Citi's culture, mission, and recent advancements.
  • Prepare Examples: Demonstrate past quantitative successes and project management.
  • Practice Communication: Ready clear explanations for complex risk analytics.

📝 Interview Preparation Advice

Technical Preparation

Review risk modeling techniques.
Practice SAS coding exercises.
Brush up on Excel data analysis.
Study regulatory risk standards.

Behavioral Questions

Describe past project challenges.
Explain teamwork in complex projects.
Detail communication with diverse audiences.
Discuss decision-making under pressure.

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