McLean, VA

About this role:

Wells Fargo is seeking a Senior Quantitative Analytics Specialist for the commercial modeling team within the Commercial Risk Modeling Analytics. The position will focus on the design and implementation of data solutions and forecasting processes to support stress testing and business planning for wholesale lines of business. We are seeking an individual with strong model development experience, knowledge of programming principles, and experience with distributed data platforms.

Wells Fargo is seeking a Senior Quantitative Analytics Specialist...

In this role, you will:

• Perform highly complex activities related to the creation, implementation and documentation of data and forecasting pipelines
• Participate in discussions related to analytical strategies, modeling and forecasting methods for credit loss, balance and fee income estimation
• Identify structure to influence global assessments, inclusive of technical, audit and market perspectives
• Contribute to code libraries that are used broadly in the Risk Modeling Group to support model development and implementation
• Collaborate and consult with validators, auditors and individuals that are technically oriented and have excellent communication skills

Required Qualifications, US:

• 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

• Excellent verbal, written, and interpersonal communication skills
• Expertise in Python, SAS, Spark/Scala and Big Data Analytics using SQL
• Familiarity with the version control tools Git and GitHub
• Ability to adapt and act quickly in a fast-paced and results-driven environment
• Ability to effectively present analysis and share insights with a variety of stakeholders and using right-sized content and documentation
• Implementation of complex BLF, CCAR, CECL/IFRS9 modeling environments working with large data sets, advanced statistical models, coding to effectively and efficiently execute models for purposes including stress testing, allowance calculations, and loss forecasting
• Developing analytics around model results for enhancing forecast performance
• Understanding the trends within loan portfolios, their impact on model performance, and quantifying the risks not captured by models via management adjustments
• Establishing strong controls and creating consistent and robust execution processes across models
• Maintaining documentation for key implementation processes across the team with focus on standardization of implementation and execution controls

Job Expectations:

• Implementing forecasting processes and strategies for credit loss, Balance Sheet, PPNR and RRP valuation models for the commercial and debt securities portfolios
• Adherence to model risk, audit and governance policies.
• Building robust production processes with effective reviews and controls, in accordance with software development best practices
• Understanding the trends within loan portfolios, their impact on model design and performance
• Staying abreast of industry development in Big Data technologies and Cloud Computing
• Experience building Tableau dashboards for analyzing model forecasts
• Knowledge of CECL and loss forecasting framework and processes
• Experience with UNIX/LINUX environments
• Experience with Python programming

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.