Assistant Vice President - Core Forecasting

The work schedule is Monday - Wednesday, 1 PM - 10 PM IST and Thursday - Friday, 11 AM - 8 PM IST

Qualifications: 

- Bachelor's degree/PG in a quantitative discipline; Math, Finance, Statistics, Economics or equivalent work/training is required; advanced degree is preferred

- 3+ years of related analytical experience

- Deep credit risk experience in one or more US consumer credit portfolios (i.e. U.S. Mortgage,

- Home Equity, Credit Card, Automotive, Lease, Business Banking)

- Knowledge of the Forecasting process, macroeconomics and finance preferred

- Strong technical and statistical skills. Ability to synthesize data and communicate to leadership in a concise and effective manner, both verbally and written

- Focused attention to detail, analytical & inquisitive with high standards for quality and accuracy

- History of effective multi-tasking, expectation setting, and escalation of issues, where appropriate

- Project Management Skills -- well-organized, structured approach. Ability to achieve tight timelines on complex deliverables. Ability to manage and prioritize projects across cross-functional groups

- Strong communication and interpersonal skills, ability to interact with individuals across departments / functions and with senior-level individuals

- Able to work effectively under pressure and in a rapidly changing environment in order to meet deadlines

- Collaborative, team-oriented, passionate about supporting our internal / external clients

- Self-starter, able to take the initiative and operate independently on a daily basis

- Strong understanding of controls and dedicated to continuously improving processes

- Exhibited leadership and desire to oversee the development of credit analysts in the team

- 2+ years of SAS (including SAS Macros) & SQL programming experience (PC, UNIX or mainframe).

- Knowledge of Tableau preferred 

- Highly proficient in Microsoft Office suite of products (Excel and PowerPoint, experience with Essbase a plus)

Responsibilities include:

- Ability to analyze data and forecast results in a business and financial context

- Explain the variations in loss forecast model outputs based on portfolio trends, planned business actions and model components/assumptions

- Understand how inputs and outputs are generated and ability to modify inputs and output for what if scenario or regression testing of the models.

- Analyzing the impact of evolving standards such as Basel capital and CECL on forecast needs and business decisions.

- Perform allowance impact analysis on various scenarios to support key business decisions

- Estimation of model overlay or management adjustment to be added to raw model output

- Work closely with upstream and downstream partners to communicate outcomes and analysis

- Support all results through appropriate documentation

- Manage various monthly and quarterly reporting and commentary including slide and deck preparation with attention to accuracy and deadlines

- Develop enhanced reporting through use of automation, if required, such as excel macros or SAS programming as needed

- Manage ad hoc analysis; starting with identifying the opportunities and issues, collecting data, analyzing and presenting the data

- Presenting findings, recommendations and presentations to Senior Management.

- Expected to work on multiple projects with limited guidance.

- Effectively mentoring other analysts to help them develop their risk management skills and knowledge

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