Sr. Quantitative Analyst

Description

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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Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)
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