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Global Risk Review Quantitative Analyst

Global Risk Review Quantitative Analyst

CitigroupIrving, TX, US
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Global Risk Review Quantitative Analyst

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

The Risk Analytics, Modeling and Validation role involves the development, enhancement, and validation of methods for measuring and analyzing all types of risks, including market, credit, and operational. In areas related to credit risk, individuals in this role develop, enhance, and validate models for measuring obligor credit risk, or early warning tools that monitor the credit risk of corporate or consumer customers, besides being involved in Loss Given Default studies. They also develop and maintain key risk parameters like default and rating migration data, usage given default data and transition matrices. This role is vital to the company as it provides a scientific and systematic approach to assessing and mitigating risks, thereby ensuring the company's financial stability, protecting its assets, and supporting its overall business strategy.

Responsibilities :

  • The role is typically for Model Validator.
  • Perform model validations, annual model reviews, ongoing monitoring reviews (on Low and Medium Model Risk Rating (MRR) models) and model limitation remediation reviews for one or more model / product type (e.g., precious metals models) under the supervision of a Validation Lead (VL)
  • Provide effective challenge to the model development process on Low / Medium MRR models in the specific model / product type, in accordance with the Citi Model Risk Management Policy.
  • Evaluating testing approach and results for individual models in accordance with MRM guidance
  • Assessing the ongoing performance monitoring of the models
  • Contributing to regulatory and internal audit related responses
  • Collaborating with other teams within Risk and the Business regarding qualitative models to facilitate compliance with our policies, procedures, and guidance.
  • Assisting with preparing the reports and other meeting materials to MRM senior management.
  • Supporting the process of designing, developing, delivering, and maintaining best-in-class qualitative model validation process standards, guidance, practices, templates, and other documentation.

Qualifications :

  • 2+ years of experience
  • Experience in Quantitative Finance, Risk management, Analytics, Model Development or Model Validation is preferred.
  • Excellent partnership and teamwork skills.
  • Ability to formulate findings clearly and concisely in a written form and good verbal communication skills.
  • Good analytic, creative thinking, and problem-solving abilities.
  • Adept and meticulous at analysis and documentation of results.
  • Ability to multi-task, work well under pressure, and deliver results under tight deadlines.
  • Programming skills in languages like Python, MATLAB, C / C++ / C#, VBA or other coding language as need.
  • Knowledge of financial markets and products.
  • Qualitative or quantitative model risk management experience is a plus.
  • Extensive experience in data analysis and interpretation and technical writing.
  • Strong technical skills such as solid knowledge of time series analysis, statistics and econometrics.
  • Strong analytical skills.
  • Excellent communication and diplomacy skills.
  • Ability to evaluate complex and variable issues.
  • Ability to influence decisions and provide expert advice.
  • Strong problem-solving skills.
  • Ability to work effectively in a team and independently.
  • Project management skills, with the ability to manage multiple tasks and deadlines.
  • Proficiency in data analysis and interpretation.
  • Ability to identify inconsistencies in data or results and define business issues.
  • Ability to formulate recommendations on policies, procedures, or practices.
  • Attention to detail and the ability to make informed judgments based on information.

    • Education :

    Bachelor's / University degree or equivalent experience.

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