Senior Quantitative Risk Analyst

Description

The Senior Quantitative Analyst, Credit Risk operates independently to develop processes, models, analytics and commentary that enable understanding and mitigation of credit risk.

Here's what you can expect from the job and what you need to be successful:

Job Duties

• Develop and maintain loan-level probability of default (PD), exposure at default (EAD) and loss given default (LGD) models for consumer and mortgage lending portfolios
• Apply appropriate statistical techniques and diagnostics to ensure model effectiveness
• Develop and maintain data models to ensure accuracy and continuity of model data
• Assemble and present materials summarizing model methodology and results for senior leadership and other stakeholders
• Develop and maintain loan-level forecast and stress testing processes for Moody's Portfolio Analyzers
• Develop and maintain scorecard views to support credit risk monitoring
• Assess efficacy of underwriting criteria in coordination with lending teams
• Write detailed workflow documentation to ensure process continuity
• Write detailed model documentation for validation by Model Risk Management (MRM)
• Respond to findings from MRM and auditors
• Attend committee meetings as subject matter expert on our current expected loss outlooks
  
  

Essential Skills

• Minimum 5 years’ experience in a quantitative analyst role
• Minimum 3 years’ experience in statistical modeling
• Minimum 3 years’ experience in the financial services industry
• Experience auditing code for bugs
• Advanced analytical and problem-solving skills with attention to detail
• Demonstrated effective time management skills and the ability to work independently
• Excellent verbal and written communication skills; able to express ideas concisely and logically to all levels
• Demonstrated ability to establish credibility and rapport with internal and external stakeholders
• Proficiency with a data visualization/dashboarding tool (such as Tableau)
• Expert knowledge of an analytical/quantitative tool such as R (preferred) or Python
• Advanced SQL skills and understanding of relational databases
• Strong knowledge of Microsoft Office Suite
• Minimum Education: Master’s degree in Finance, Statistics, or other quantitative field required
  
  

Location: Hillsboro, OR 97124 | San Jose, CA 95134 | Rocklin, CA 95765 (HYBRID)

Target Compensation in Hillsboro, OR: $110k - $120k annually annual bonus

Target Compensation in Rocklin, CA 95765: $121k - $132k annually annual bonus

Target Compensation in San Jose, CA 95134: $137,500 - $150k annually annual bonus

Benefits options include:

• Traditional medical, dental, and vision coverage
• 401K matching up to 5% per pay period
• Accrue up to 17 days of Paid Time Off your first year of employment
• 11 paid federal holidays
• Special employee pricing on lending products such as mortgage, auto, and personal loans (eligibility for special employee pricing is subject to standard account requirements and underwriting criteria)
  
  

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