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Citi’s Risk Management organization oversees risk-taking activities and assesses risks and issues independently of the front line units. We establish and maintain the enterprise risk management framework that ensures the ability to consistently identify, measure, monitor, control and report material aggregate risks. DART is the leading risk modeling and data analytics team in Citi. We use mathematical modeling and the latest technologies to calculate risk for the largest portfolios in Citi. We use visualizations and dashboards to communicate risk to senior stakeholders. Our models and analytics ensure that the bank has adequate capital during crisis.
Job Responsibility:
Prepare detailed quantitative modeling and analysis for risk managers and senior management
Synthesize and communicate complex risk models and results
Conduct statistical analysis, quantitative modeling, and model risk controls
Work with risk managers, businesses, and tech to design and build models for risk capture and stress testing
Requirements:
At least 4-5 years of relevant experience in creating, validating and reviewing models
Undergraduate degree in a quantitative or technical discipline such as Computer Science, Engineering, Physics, Statistics, Quantitative Finance and the like
Master’s degree or higher in quantitative disciplines a plus
Knowledge of or interest in finance, markets, risk management
Ability to apply sophisticated mathematical/analytical techniques to solve real-world problems
Proficient in Python, Java, or Scala in a Unix/Linux environment
Candidate must be proficient in PYTHON
What we offer:
Access to telehealth options, health advocates, confidential counseling
Expanded Paid Parental Leave Policy
Resources to manage financial well-being
Access to learning and development resources
Generous paid time off packages
Resources and tools to volunteer in the communities
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