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Key activities include:
Performing independent validation of qualitative models across the firm, in line with the Citi Model Risk Management Policy and procedures. This includes:
Critically reviewing the appropriateness of a Qualitative Model versus alternative quantitative approach with respect to the modeling objective and the available model development data
Producing high value models 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
Qualifications:
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
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
Qualitative or quantitative model risk management experience is a plus
Experienced user of Microsoft Office Suite, especially Excel, PowerPoint and Word. Knowledge of Python or R language would be a plus.
Solid knowledge of time series analysis, statistics and econometric would be highly advantageous.
What we offer:
Work in a challenging area of the financial industry with one of the world's leading companies with exposure to variety of products, processes and controls
Cooperation with a high quality, international, multicultural and global team
Work in a friendly and diversified environment, appreciating differences in style and perspective and using them to add value to decisions leading to organizational success
Management supporting balanced and agile work (flexible working hours, home office)
Attractive benefits package (Benefit System, medical care, pension plan etc.)
A chance to make a difference with various affinity networks and charity initiatives
Time Type:
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