Quantitative Risk Management Specialist
6 days ago
About this opportunity:
Wells Fargo is seeking a highly skilled Risk Analytics Consultant to join their team. In this role, you will participate in complex analysis and modeling initiatives, identifying opportunities for process improvement, data reconciliation, and model documentation. You will review and analyze programming models to extract data, manipulate databases to provide statistical and financial modeling, and exercise independent judgment to guide new and existing projects with medium risk deliverables. Your responsibilities will also include coordinating and consolidating the production of monthly, quarterly, and annual performance reports for senior management. Additionally, you will present recommendations for resolving data reconciliation, production, and database issues. You will exercise independent judgment while developing expertise in policy governance, risk projects, and regulatory requests. You will also collaborate and consult with peers, managers, experienced managers, compliance, including various lines of business.
Key qualifications:
This role requires 2+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. A strong background in credit risk, fraud risk, or risk analytics roles is also desirable. You will need to have hands-on experience in credit card strategy development, a detailed understanding of risk domain, and strong risk analytics skills and understanding of P&L, drivers. You will also need to have expertise in few programming and statistical packages - SAS, SQL, VBA, Macros, R, Python, E-miner, SAS VA. You should have strong analytical skills with ability to turn findings into executable plans to meet business objectives. You will need to be able to identify and evaluate trends, isolate root cause, and provide swift/thorough resolution.
Preferred qualifications:
A Bachelor's degree or higher in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences. Shift timings: 1:30 PM to 10:30 PM.
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