Quantitative Analyst

Quantitative Analyst I

The Quantitative Analyst I is responsible for supporting the design, 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

• Support the development, implementation, maintenance, and execution of complex financial models used for loss forecasting, scenario and stress testing, originations & collections, pricing, and portfolio optimization for retail, consumer, and commercial assets
• 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

Additional Essential Functions

• 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

Additional Responsibilities

• 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

Safety and Health for those without supervisory duties

• Abide by the rules of the safety and loss prevention program
• Perform work tasks in a safe manner
• Report any and all injuries to supervisor
• Know what to do in case of an emergency

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education

• Bachelor's Degree Undergraduate degree in a field related to physics, mathematics, statistics, economics, or other quantitative discipline
• Master's Degree Ph. D. Diploma

Work Experience

• Less than 2 years Work experience in a Financial Institution or Consulting Organization
• Experience programming in Python or R
• Experience programming in SQL, SAS, Java, C+, C++, or Julia

General Employee Knowledge, Skills, and Abilities

• Ability to establish effective working relationships among team members and participate in solving problems and making decisions
• Ability to present and express ideas and information clearly and concisely in a manner appropriate to the audience, whether oral or written
• Ability to actively listen to what others are saying to achieve understanding, sharing information with others and facilitating the open exchange of ideas and information
• Ability to establish courses of action for self to accomplish specific goals, develop and use tracking systems for monitoring own work progress, and effectively use resources such as time and information
• Ability to make right decisions based on perceptive and analytical processes, practicing good judgment in gray areas

Additional Knowledge, Skills and Abilities

• An understanding of statistical concepts such as linear and logistic regression, decision trees, random forests, and clustering
• An understanding of performance measurement statistics such as MAE, RMSE, KS, AUC, and confusion matrices
• An ability to describe the conceptual frameworks, strengths, and weaknesses of models in writing

Northwest is an equal opportunity employer. We are committed to creating an inclusive environment for all employees.