Job Description

Comprehensive Capital Analysis Review (CCAR) is an annual regulatory submission to US Federal Reserve Board (FRB). It is used to ensure that institutions have robust, forward-looking capital planning processes that account for their unique risks and sufficient capital to continue operations throughout times of economic and financial stress. As part of CCAR, the Federal Reserve evaluates institutions\' capital adequacy, internal capital adequacy assessment processes, and their plans to make capital distributions, such as dividend payments or stock repurchases.

The FP&A Senior Statistical Modeler (VP) is an intermediate level position, part of FP&A Model Development team which is responsible for developing econometric time-series models to project balance sheet and income statement for different products / businesses / geographies within the firm to support CCAR and QMMF.

Responsibilities:

• Development of econometric forecasting models for key Balance sheet and income statement line items for capital and business planning purposes. This includes the calculation of Net Interest Income (\xe2\x80\x9cNII\xe2\x80\x9d), Non-Interest Revenue (\xe2\x80\x9cNIR\xe2\x80\x9d), Interest Rate Exposure (\xe2\x80\x9cIRE\xe2\x80\x9d), and other associated interest rate risk metrics.
• Deep understanding of statistical techniques such as Ordinary Least Square regression (OLS), Fixed-effect Panel Regression, Error Correction Models, Seemingly Unrelated regression and Cointegration.
• Steering stakeholder conversations with Business part of FP&A Model Development team es, Finance, Treasury and Risk to seek their sign-offs on Champion models.
• Manage the Segmentation, Risk Identification, overlay discussions with Businesses and Finance teams.
• Responsible for reviewing and timely submission of Model development documentation (MDDTs) to Model Risk Management.
• Align with Model Risk Management (MRM) on modeling and validation practices and have periodic check-ins with them.
• Create a culture of accountability and strict quality control of the data integrity and modeling process
• Ability to build key relationships with finance and business teams
• Must be able to present technical matters in a way that is meaningful to the audience
• Ability to influence people and empower team members to be proactive and focused on partnerships and results
• Understanding of Machine learning algorithms will be a plus

Qualifications:

• 8-10 years of relevant statistical /business experience in financial services
• Experience in CCAR Modeling to OCC, FRB and FDIC is preferred.
• Experience in developing econometric and Panel regression models.
• Extensive hands-on experience in programming and modeling using SAS, Python and R.
• Excellent presentation skills; the ability to translate complex financial schedules into meaningful presentations is critical; demonstrated analytical skills including the ability to synthesize quantitative and qualitative data to draw conclusions and assist on decision making
• Ability to build key cross functional and cross business relationships
• Broad and deep understanding of accounting principles, investment, accrual products and corporate finance concepts
• Ability to managing multiple projects and deadlines
• Demonstrated leadership and team management skills and ability to managing multiple projects and deadlines

Education:

• Masters / PhD in quantitative discipline such as Statistics, Economics or related discipline

Job Family Group: Finance



Job Family: Financial Planning & Analysis



Time Type: Full time



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.

Citigroup Inc. and its subsidiaries ("Citi\xe2\x80\x9d) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review .

View the " " poster. View the .

View the .

View the

Citigroup