Job summary
Job post source
This job is directly from Citi
Job overview
The Climate Quantitative Modeler – Senior Vice President at Citi leads the development of climate risk models to assess impacts on lending portfolios and integrates these into firmwide risk frameworks.
Responsibilities and impact
The role involves developing, enhancing, and validating climate risk measurement models, working with large datasets and machine learning techniques, producing analytics and reports, communicating with stakeholders, and providing leadership to junior modelers.
Compensation and benefits
The salary range is $156,000 to $234,000 annually, with additional discretionary and formulaic incentive and retention awards. Benefits include medical, dental, vision coverage, 401(k), life, accident, disability insurance, wellness programs, and paid time off.
Experience and skills
Candidates should have 6-10 years of experience, an advanced degree (MS or PhD) in a quantitative field, professional experience in climate risk and statistical modeling, proficiency in Python, SQL, Unix/Linux, and strong communication and project management skills.
Company information
Citi is a global financial services company focused on risk management and analytics, offering competitive benefits and a collaborative work environment.
Team overview
The candidate will join the Credit & Obligor Risk Analytics (CORA) Team, working in a multidisciplinary setting with collaboration across lines of defense and stakeholders.
Job location and travel
The position is based in Irving, Texas, with a hybrid work arrangement.
Unique job features
The role is distinguished by its focus on innovative climate risk modeling using advanced statistical and machine learning methods within a leading financial institution.
Company overview
Citigroup Inc., commonly known as Citi, is a leading global financial services company headquartered in New York City. It provides a broad range of financial products and services, including consumer banking, credit, corporate and investment banking, securities brokerage, and wealth management. Citi makes money primarily through interest income from loans and credit cards, fees from banking services, and trading and investment activities. Founded in 1812, Citi has a rich history marked by significant mergers, including the 1998 merger with Travelers Group, which expanded its financial services footprint.
How to land this job
Tailor your resume to highlight advanced expertise in climate risk modeling, statistical methodologies like Bayesian inference, and proficiency in Python, SQL, and Unix/Linux, reflecting the technical demands of Citi's Climate Quantitative Modeler role.
Emphasize your experience developing and validating complex analytical models, particularly those related to climate change impacts on credit risk and stress testing, showcasing your ability to work with big data and machine learning techniques.
Apply through multiple channels including Citi’s corporate careers page and LinkedIn to maximize your visibility and chances of consideration for this senior-level position.
Connect with professionals within Citi’s Risk Analytics or Credit & Obligor Risk Analytics (CORA) teams on LinkedIn; initiate conversations by commenting on recent Citi climate risk initiatives or asking about their approach to integrating climate models into risk frameworks.
Optimize your resume for ATS by incorporating keywords from the job description such as 'climate risk modeling,' 'stress testing,' 'Bayesian inference,' 'machine learning,' 'Python,' and 'credit risk analytics' to ensure it passes automated screening effectively.
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