Job in Bengaluru, Bangalore for Economist

Job Description

JOB DESCRIPTION

In this role, you will:

Lead or participate in moderately complex initiatives, and delivering insight and decision strategies within analytics and reporting, and contribute to large-scale planning related to Risk Analytics
Review and analyze moderately complex data aggregation, forecasting, reporting, and programming models
Be responsible for process production, data reconciliation, and model documentation in alignment with policy governance
Resolve data, production, business modeling, and lead team to meet Risk Analytics deliverables while leveraging solid understanding of risk reporting policies, modeling strategies, procedures, regulatory requests, and compliance requirements
Collaborate and consult with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues, and achieve analytic and reporting goals
Lead projects, teams, and mentor less experienced staff
Partner with cross enterprise risk analysts in development of common modeling strategies


Required Qualifications:

Overall experience of 4-8 years in Risk Analytics
Degree in applied mathematics, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis.
Strong Quantitative Skills: 4 years of Predictive modeling experience. Good understanding of model development and model testing.
Proficient in statistical analysis
Good Problem Solving and Analytical Skills


Programming Skills 4 years of hands on experience in SAS and SQL
Basic familiarity with Python


Good Written and Oral Communication Skills


Desired Qualifications:

Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment
Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities
Understanding of bank regulatory data sets and other industry data sources
Exposure to banking domain in Credit Risk area on Retail/Commercial portfolio
Ability to identify and manage complex issues and negotiate solutions within a geographically dispersed organization
Ability to research and report on a variety of issues using problem solving skills
Ability to interact with integrity and a high level of professionalism with all levels of team members and management
Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment.
@RWF22- Please note that \"RWF\" is an identifier for internal recruiting purposes only and has no connection to the nature or responsibilities of the job


Job Expectations:

Development of regulatory Credit risk (including CCAR, CECL and IFRS) and PPNR models for Commercial portfolio
Work closely with onshore team to understand and enhance the data and modeling process behind existing models, develop new models, address data and model issues/risk findings.
Underlying portfolio data research and analytics using strong programming skills
Adhere to audit and model validation governance to ensure data and modeling process are in compliance with policy and are working as intended, address model validation and regulatory feedback issues
Support ad-hoc analytic projects

Contact Informations

Recruiting For : WELLS FARGO INDIA