Senior Quantitative Analytics Specialist

About this role:

Wells Fargo is seeking a Senior Quantitative Analytics Specialist...

In this role, you will:

• Perform highly complex activities related to creation, implementation, and documentation
• Use highly complex statistical theory to quantify, analyze and manage markets
• Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives
• Utilize structured securities and provide expertise on theory and mathematics behind the data
• Manage market, credit, and operational risks to forecast losses and compute capital requirements
• Participate in the discussion related to analytical strategies, modeling and forecasting methods
• Identify structure to influence global assessments, inclusive of technical, audit and market perspectives
• Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills

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:
• 3+ 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
  
• 2+ years of hands on experience in Python and SQL
• 1+ years of experience in SAS
• 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

Job Expectations:

• Development of regulatory Credit risk (including CCAR, CECL and IFRS), RRP Valuation, and PPNR models for Commercial portfolio in SAS/Python.
• Migration of existing development/implementation codes from SAS to Python/PySpark with thorough testing and UAT 
• 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/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