AVP, Climate Risk Modeling (Hybrid)

Citi is hiring an AVP for Climate Risk Modeling in Mumbai. This hybrid role involves developing and implementing models to assess climate impacts on lending portfolios, with a focus on risk identification and stress testing. Responsibilities include data analysis, model validation, and documentation. Candidates should have 5+ years of experience, strong programming skills, and expertise in risk models. A bachelor's degree is required.
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 as well as implementing economic and financial models to assess the impacts of climate changes on Citi's wholesale lending portfolios, and for integrating solutions into the broader firmwide risk identification and stress testing framework.

Responsibilities:
• Develops, enhances, and validates the methods of measuring and analyzing climate risk, for both physical and transition, to be used in risk identification and stress testing, with a focus on impact to commercial and retail real estates.
• Conducts data analysis, data mining, read and create formal statistical documentation, reports and work with Technology to address issues.
• Analyzes and interprets data reports, make recommendations addressing business needs.
• Generates statistical models to improve methods of obtaining and evaluating quantitative and qualitative data and identify relationships and trends in data and factors affecting research results.
• Validates assumptions; escalate identified risks and sensitive areas in methodology and process.
• Automates data extraction and data preprocessing tasks, perform ad hoc data analyses, design and maintain complex data manipulation processes, and provide documentation and presentations.
• Conducts analysis and packages it into detailed technical documentation report for validation purposes sufficient to meet regulatory guidelines and exceed industry standards.

Qualifications:
• 5+ year's experience
• Good knowledge and understanding of a variety of model development and validation testing techniques covering risk models.
• Expertise in programming, data modelling and data management and proficient in Python, R, SQL, Unix/Linux operating system.
• Experience working in Big data environments; Intellectual curiosity to stay abreast of technological advances.

Education:
• Bachelor’s/University degree or equivalent experience

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Job Family Group:
Risk Management

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Job Family:
Risk Analytics, Modeling, and Validation

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Time Type:
Full time

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