Job Description

Seeking a Risk Quantitative Model Validation Analyst to join our diverse team. A Risk Quantitative Model Validation Analyst will perform independent model risk oversight activities, including model identification, determination, classification, inventory management, validation, review, issue remediation testing, reporting, and related activities. This associate will test models and analytical tools in the areas of interest rate risk, credit risk, capital planning, stress testing, capital markets, operational risk, finance and accounting, loan pricing, deposit pricing, loan valuation, economic capital, BSA/AML/OFAC compliance, fraud monitoring, credit scoring, and behavioral models, among other areas. Associates will also assist other Risk Testing areas in automating various risk testing activities.

PRIMARY RESPONSIBILITIES

• Validation test work includes evaluating each model’s:
  • Use
  • Theory and Developmental Evidence
  • Data
  • Implementation
  • Outcomes analysis, Ongoing Monitoring, and Model Performance
  • Governance, Controls and Business Continuity Plans
• Perform other validation activities such as annual reviews, issue remediation testing, significant analytical tool exams, determinations, significant change reviews, and ongoing monitoring assessments, among others
• Proactively mentor junior associates
• Communicate model issues and limitations to key stakeholders and represent the Company with regulators
• Assist with regular business monitoring of relevant model/tool owners and potential owners
• Understand and execute common risk management activities
• Work with stakeholders to generate ad hoc reporting when needed
• Assist other Risk Testing areas in automation

Qualifications

REQUIREMENTS

• Master’s or PhD degree in Finance, Statistics, Mathematics, Economics, Data Science, Actuarial Science, Engineering, Physics, Quantitative Finance, Data Analytics, Business Administration, Accounting Finance, Management and Information Systems, Computer Science, Computer Engineering or related fields 
• 4 - 5 years of relevant experience

SKILLS AND COMPETENCIES

• Excellent written and oral communication skills, especially clearly explaining quantitative concepts to non-quantitative audiences
• Proficiency in Microsoft Excel, PowerPoint, and Word
• Mastery of data science tools such as Python, R, SAS, SQL, Matlab, and Eviews
• Attention to detail, initiative, and ability to work under tight deadlines
• Ability to manage multiple tasks and work effectively under pressure in a rapidly changing environment
• Motivated, organized, and team-oriented
• Current knowledge of financial regulations
• A proven track record of working in teams and of leading projects
• A control-focused mind-set with strong process improvement capabilities

Additional Information

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Compensation:  $88,000 - $98,000 + great benefits