Quantitative Analyst

Job Summary

The Quantitative Analyst is responsible for supporting developing and maintaining complex financial models used throughout the loan and deposit product lifecycle.  These models could be rules-based or developed with more advanced statistical, mathematical, econometric, machine learning, or artificial intelligence techniques.  This position is also responsible for developing quantitative tools used in the areas of pricing, profitability, and product strategy.

Essential Functions

• Develop, Implement, Maintain, and Execute complex financial models used for loss forecasting, scenario and stress testing, originations & collections, pricing, and portfolio optimization for retail, consumer, and commercial assets
• Support the design of the same
• Use Python or R for data consumption, aggregation, analysis, and model development
• Utilize Power BI to develop portfolio analytics and communicate with the line-of-business and operations partners
• Utilize Microsoft Office products for analysis, documentation, and presentation
• Communicate with line-of-business and operations partners to identify needs and develop requirements
• Work with Model Owners to engage with and satisfy independent reviewers, auditors, validators, and regulators
• Participate in the research, design, and implementation of new financial products and portfolio strategies
• Evaluate model output, summarize, and articulate results to stakeholders and senior management
• Develop data environment to support needs of all quantitative activities
• Review academic and industry research, present summaries to partners and senior leadership, and suggest practical applications
• Ensure compliance with Northwest’s policies and procedures, and Federal/State regulations
• Navigate Microsoft Office Software, computer applications, and software specific to the department to maximize technology tools and gain efficiency
• Work as part of a team
• Work with on-site equipment
• Keep abreast of current best industry practices, research, and professional growth opportunities.
• Manage personal and departmental workload/workflow
• Prepare analysis and reports for partners and senior leadership
• Minimize departmental non payroll costs
• Recommend improvements to processes and procedures
• Recommend customer service enhancements
• Maximize technology tools available
• Complete other projects as assigned

Education Experience

• Bachelor’s degree in a field related to physics, mathematics, statistics, economics, or other quantitative discipline required
• Master’s degree preferred
• D. preferred
• 2-3 years Work experience in a Financial Institution or Consulting Organization required
• 2-3 years of experience programming with Python or R required
• 2-3 years of experience programming with SQL, SAS, Java, C , C , or Julia preferred

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