Model Validation Senior Analyst

Join Global Functions Model Validation team!

Our Team is part of the Model Risk Management (MRM) group within the Risk organization. 

The Global Functions Model Validation team is responsible for reviewing and assessing models in the Global Functions area as part of Citi’s Model Risk Management framework. The main objectives are to ensure that models are used appropriately by the business and that model users are aware of the models’ limitations and weaknesses that should be mitigated by compensating controls.  Global Functions cover Liquidity, Treasury, Operational Risk, Banking, Legal, Securitization, Pension, Insurance, Human Resource and others. Models are utilized for Stress testing, Capital Estimation, Portfolio Management, Business Planning and others.

What you will do:

• Performing independent validation of models in the Global Functions, in line with the Citi Model Risk Management Policy and procedures. This includes:

  • Critically reviewing the appropriateness of a Model approach versus alternative model approach with respect to the modeling objective and the available model development data

  • Producing high quality validation reports, including highlighting risks and limitations of the model.

  • 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

What we will need from you:

• Minimum Bachelor’ degree in Finance or Economics, or quantitative discipline (statistics, quantitative finance, econometrics). Masters’ degree is preferable.

• Ideally 3 years of experience / knowledge of Banking, Treasury, Finance / Risk management preferred, however talented candidates with fewer years of experience will be considered.

• Demonstrate excellent partnership and teamwork skills.

• Programming skills in languages like Python, MATLAB, C/C++/C#, VBA, R and SAS.

• Ability to clearly and concisely formulate findings in a written form and good verbal communication skills.

• Good analytic, creative thinking and problem solving abilities.

• Adept and meticulous at analysis and documentation.

• Ability to multi-task, work well under pressure and committed to deliver under tight deadlines.

• Knowledge of financial markets and products.

• Model validation experience is a plus.

• Experienced user of Microsoft Office Suite, especially Excel, PowerPoint and Word.

• Solid knowledge of, statistics, econometric, AI/Machine Learning and Finance would be highly advantageous.