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 firmwide risk identification and stress testing framework..

We are seeking a Quantitative Modeler at Senior VP level to lead the effort on:

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.Works with large datasets and complex algorithms to solve data science challenges. Leverages big data and latest machine learning technique to develop innovative deployable solutionsDevelop and implement models to produce analytics and reporting used to manage climate risk for Citi's operations.Conducts analysis and packages it into detailed technical documentation report for validation purposes sufficient to meet regulatory guidelines and exceed industry standards on the use of climate modelsCommunicate key aspects of climate modeling to various stakeholders, including senior management, auditors and regulators. Collaborate with 1LOD and 2LOD as needed for application of climate models to their needs and requirements.Provide leadership and guidance for junior modelers.

Our ideal candidate is a highly competent professional with 10 years of experience in building complex analytical solution involving a cross section of models:

6-10 years experienceAdvanced degree (MS or PhD) in a quantitative field such as Hydrology/Meteorology, Statistics, Engineering or Mathematics. PhD is a plus.Professional experience in climate change/climate risk or related fieldProfessional experience in statistical modeling, Bayesian inference or other machine learning and statistical methodologiesExpertise in programming, data modelling and data management and proficient in Python, SQL, Unix/Linux operating systemAbility to deliver compelling presentations and influence executive audiences.
Excellent communicator; ability to engage and inspire team forwardEffective cross-functional project, resource, and stakeholder management; effectively engage with internal audit and external regulators

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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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Primary Location:

Irving Texas United States

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Primary Location Full Time Salary Range:

$156,160.00 - $234,240.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & 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. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Most Relevant Skills

Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Anticipated Posting Close Date:

Aug 07, 2025

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

 

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