Climate Risk Modeling Expert
4 weeks ago
This role on the Credit & Obligor Risk Analytics (CORA) Team requires in-depth climate knowledge, business analysis skills, and excellent communication to work in a multidisciplinary team. The successful candidate will be responsible for developing statistical and economic models to assess the impacts of climate changes on Citi's wholesale lending portfolios, and for integrating solutions into the broader firm-wide risk identification and stress testing framework.
We are seeking a highly competent professional with 10 years of experience in building complex analytical solutions involving a cross-section of models:
- 6-10 years of experience in climate change/climate risk or related fields
- Professional experience in statistical modeling, Bayesian inference, or other machine learning and statistical methodologies
- Expertise in programming, data modeling, and data management, and proficiency in Python, Java/Scala, SQL, and Unix/Linux operating systems
- Ability to deliver compelling presentations and influence executive audiences
- Effective cross-functional project, resource, and stakeholder management
Key Responsibilities:
- Develop, enhance, and validate methods of measuring and analyzing climate risk, for both physical and transition, to be used in risk identification and stress testing
- Work with large datasets and complex algorithms to solve data science challenges
- Develop and implement models to produce analytics and reporting used to manage climate risk for Citi's operations
- Conduct analysis and package it into detailed technical documentation reports for validation purposes
- Communicate key aspects of climate modeling to various stakeholders, including senior management, auditors, and regulators
Requirements:
- 10 years of experience in building complex analytical solutions involving a cross-section of models
- Professional experience in climate change/climate risk or related fields
- Professional experience in statistical modeling, Bayesian inference, or other machine learning and statistical methodologies
- Expertise in programming, data modeling, and data management, and proficiency in Python, Java/Scala, SQL, and Unix/Linux operating systems
- Ability to deliver compelling presentations and influence executive audiences
- Effective cross-functional project, resource, and stakeholder management
Job Family Group: Risk Management
Job Family: Risk Analytics, Modeling, and Validation
Time Type: Full time
Primary Location: New York, New York, United States
Primary Location Full Time Salary Range: $176,000 - $265,080.00
Citi offers competitive employee benefits, including medical, dental, and vision coverage, 401(k), life, accident, and disability insurance, and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays.
Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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