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Credit Risk Model Develpoment - Mumbai @ Careernet

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 Credit Risk Model Develpoment - Mumbai

Job Description

JD: FP&A CCAR:

Comprehensive Capital Analysis Review (CCAR) is a semi-annual US Federal Reserve regulatory submission. 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. CCAR includes a supervisory stress test to support the Federal Reserve's analysis of the adequacy of the firms' capital. Boards of directors of the institutions are required each year to review and approve capital plans before submitting them to the Federal Reserve

As a part of the CCAR Team, the Manager/AVP will support all CCAR initiatives and submissions through data capture, consolidation, transformation, reconciliation and analysis.

The responsibilities include:

Manage modeling efforts to construct high-level driver based tool for scenario analysis and used for Comprehensive Capital Analysis and Review (CCAR) submissions

Coordinate COE FPandA activities for CCAR, including liaising with business units, risk and treasury

Work in conjunction with Corporate FPandA coverage teams to build models underlying scenario analysis tool and to drive model improvements

Present stress test and other scenarios to corporate FPandA senior management

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

Broad and deep understanding of accounting principles (both GAAP and RAP), investment, accrual products and corporate finance concepts

Highly motivated, participative team player with a change agent mentality that can provide leadership

Ability to influence people and empower team members to be proactive and focused on partnerships and results

MBA/Masters/Bachelors in Economics, Finance, Accounting or related discipline

Working knowledge of Statistics (linear regressions), SAS programming, Excel pivot tables, and Access database management

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

Must be able to present technical matters in a way that is meaningful to the audience

Job Classification

Industry: Banking, Financial Services, Broking
Functional Area: Analytics & Business Intelligence,
Role Category: Other
Role: Other
Employement Type: Full time

Education

Under Graduation: Any Graduate in Any Specialization, Graduation Not Required
Post Graduation: Any Postgraduate in Any Specialization, Post Graduation Not Required
Doctorate: Any Doctorate in Any Specialization, Doctorate Not Required

Contact Details:

Company: Careernet Technologies Pvt Ltd
Location(s): Mumbai

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Keyskills:   pd Basel credit risk lgd Statistical Modeling stress testing sas programming Scorecard Marketing Analytics ccar statistics ifrs

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₹ 17,00,000 - 32,00,000 P.A

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Careernet

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