CCAR Model Developer- Officer
at Citi
Posted 6 days ago
No clicks
- Compensation
- Not specified INR
- City
- Mumbai
- Country
- India
Currency: INR
The CCAR Model Developer- Officer will join Citi's FP&A Model Development team to build econometric time-series models projecting balance sheet and income statements for CCAR and related capital planning needs. Responsibilities include developing econometric forecasting models for key balance sheet and income statement items (NII, NIR, IRE), building champion and challenger models, and benchmarking models, while managing the model lifecycle with risk and governance stakeholders. You will present model developments and changes to senior leads, address observations from MRM and Internal Audit, and help explain model results to front-office and FP&A teams during quarterly scenario runs. The role requires 0-1 years of relevant experience, a Masters in a quantitative field, and hands-on programming experience with SAS, Python, and R.
CCAR Model Developer- Officer
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Job Overview
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 Statistical Modeler Model / Anlys / Valid Analyst I, 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 ke yBalance sheet and income statement line items for capital and business planning purposes. This includes the calculation of Net Interest Income (“NII”), Non-Interest Revenue (“NIR”), Interest Rate Exposure (“IRE”), and other associated interest rate risk metrics.
- Developing Champion and Challenger models using different time series forecasting methodologies to comply with SR 15-18 guidance.
- Development of Benchmark models using Industry data series to meet regulatory requirements
- Manage the model life-cycle from first-line of defense perspective and participate in Segmentation, Risk Identification, overlay discussions with Businesses and Finance teams.
- Responsible for understanding changes to quantitative requirements published by MRM inModel Testing Guidance and presenting the key changes to senior model development leads. Also, be a champion in addressing observations raised by MRM and Internal Audit in a quantitative manner by thinking out-of-box.
- Contribute tomodel convergence initiatives as part of firm’s Transformation journey for different businesses. Responsible to explain model results to front-office / FP&A teams during quarterly model runs under different scenarios provided by Economic Scenario Group.
- Responsible in seeking sign-offs on final selected models from key stakeholder such as Business heads, FP&A head, Treasury and Risk.
- Responsible for writing model development documentation and partner with Model Risk Management (MRM) to address their feedback.
Qualifications / skill sets:
- 0-1 years of relevant statistical /business experience in financial services
- Strong understanding of statistical techniques such as Ordinary Least Square regression (OLS), Fixed-effectPanel Regression, Error Correction Models, Seemingly Unrelated regression and Cointegration.
- Understanding of Machine learning algorithms will be a plus
- Hands-on experience in programming and modeling using SAS, Python and R is preferred.
- Follow 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
Education:
- Masters in quantitative discipline such as Statistics, Economics or related discipline
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Job Family Group:
Risk Management------------------------------------------------------
Job Family:
Model Development and Analytics------------------------------------------------------
Time Type:
Full time------------------------------------------------------
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.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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