Sr. Quantitative Analyst

Job Summary

The Senior Quantitative Analyst is responsible for contributing to and managing large projects related to the support, development, and maintenance of 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

• Design, 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
• Act as an individual contributor and leader of working groups
• 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 in order to maximize technology tools and gain efficiency
• Work as part of a team
• Work with on-site equipment
• Recommend improvements to procedures
• Minimize departmental non payroll costs
• Recommend customer service enhancements

Education + Experience

• Bachelor’s degree in a field related to physics, mathematics, statistics, economics, or other quantitative discipline required
• Master's degree in a field related to physics, mathematics, statistics, economics, or other quantitative discipline required
• 5-6 years of work experience in a Financial Institution or Consulting Organization required
• Experience programming in Python or R required
• Experience programming in SQL, SAS, Java, C+, C++, or Julia preferred
• 3-5 years of experience in a Financial Institution or Consulting Organization may be relaxed if the candidate has extensive subject matter expertise in the areas of Operational Risk, Market Risk, Machine Learning, Artificial Intelligence, Stress Testing, or 3rd Party Vendor Models

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