Sr. Quantitative Analyst

About the Role

The Senior Quantitative Analyst II contributes to and manages large projects related to the support, development, and maintenance of complex financial models used throughout the loan and deposit product lifecycle. These models may be rules-based or developed using advanced statistical, mathematical, econometric, machine learning, or artificial intelligence techniques. This role also develops quantitative tools for pricing, profitability, and product strategy.

Responsibilities

• Design, develop, implement, maintain, and execute complex financial models 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 line-of-business and operations partners.
• Use 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 environments to support 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.
• Recommend improvements to procedures and customer service enhancements.
• Minimize departmental non-payroll costs.
• Abide by safety and loss prevention rules, perform work tasks safely, and report injuries to supervisor.

Requirements

• Bachelor’s degree in physics, mathematics, statistics, economics, or another quantitative discipline.
• Master’s degree in a related field is preferred.
• 6–8 years of work experience in a financial institution or consulting organization (may be relaxed to 3–5 years with extensive subject matter expertise in Operational Risk, Market Risk, Machine Learning, Artificial Intelligence, Stress Testing, or 3rd Party Vendor Models).
• Experience programming in Python or R.
• Experience programming in SQL, SAS, Java, C+, C++, or Julia.

Skills

• Ability to establish effective working relationships and collaborate in problem-solving and decision-making.
• Strong oral and written communication skills, with the ability to present ideas clearly and concisely.
• Active listening skills to facilitate understanding and information exchange.
• Ability to set and track personal goals, manage time, and use resources effectively.
• Analytical and perceptive decision-making, including sound judgment in ambiguous situations.

Preferred Certifications

• CFA Charterholder Certification from the CFA Institute (or pursuit thereof).
• Financial Risk Manager (FRM) Certification from GARP (preferred).