Job Description

About this role:

Wells Fargo is seeking a Senior Quantitative Solutions Engineering Specialist...

In this role, you will:

• Lead or participate in highly complex initiatives related to testing, implementation, and documentation within Engineering
• Contribute to large-scale planning related to Engineering deliverables
• Develop analytical strategies for real time decision and long term objectives
• Perform analytical support and provide insights, regarding a wide array of business initiatives
• Develop moderately complex business, operational, or technical challenges that require an in-depth evaluation of variable factors
• Advise on or participate in the discussion related to analytical strategies and offer finding resolution regarding a wide array of business initiatives
• Model execution and controls on the theory and mathematics behind the analyses
• Resolve complex issues and lead team to meet project deliverables while leveraging solid understanding of policies and compliance requirements
• Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals

Required Qualifications:

• Over all experience around 4+ years in credit risk modeling roles, model implementation, production and model monitoring
• Bachelor's degree or higher in a quantitative fields such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences
• 4+ years of advanced programming expertise in SAS or Python
• Experience in regulatory models for CCAR Stress testing, CECL, IFRS9, RRP, FCM, Basel Models and understanding of SR 15-18 and SR 11-7 guidelines
• Experience in machine learning algorithms such as support vector machines, decision trees, logistic regression, clustering, neural networks, graphical models etc.
• Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
• Excellent verbal, written, and interpersonal communication skills
• Strong ability to develop partnerships and collaborate with other business and functional areas

Desired Qualifications:

• Advanced knowledge of times series analysis (ARIMAX, VAR, etc.), econometrics (Parametric or non-parametric regression, ECM, etc.), macroeconomic theory and statistical methods (Hypothesis testing, Inference, cross-validation, bootstrapping, etc.)
• Experience in supervised, unsupervised and semi-supervised techniques for both structured and unstructured data including but not limited to RandomForest, GBM, XGboost etc.
• Deep learning techniques like Torch, Tensorflow, RNN (LSTM, Transformers, Attention), CNN, DNN, etc.
• Experience in large-scale end-to-end machine learning systems, using both traditional and big data tools, high performance scientific computing, optimization and computing platforms such as Hortonworks, MapR, Spark etc.
• Ability to research and report on a variety of issues using problem solving skills
• Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment

Job Expectations:

• Primary role is to perform highly complex activities, advanced analytics, related to creation, validation, monitoring, implementation, documentation, articulation and defense, on-going maintenance of complex models grounded in highly statistical theory used to quantify, analyze and manage credit risks or to forecasts losses and compute capital requirements or enable decision making in business, product or other functional areas.
• Duties typically include implementing, validating and documenting analytical models and strategies for short and long-term objectives, performing analytical support and/or modeling, and providing well-articulated insights regarding a wide array of business initiatives.
• The Senior Quantitative Engineering Specialist is expected to a pply predictive analytics & business knowledge in order to serve as a subject matter expert, analyst, advisor and consultant to the corporate and/or lines of business (LoB) management, such as Consumer, Commercial, Small Business Banking and Cards, with respect to modeling implementation, model validation, modeling data analytics, model performance analysis and model execution.
• This may involve recommending advances in modeling methodologies and/or overall modeling approach/ infrastructure, high performance computing.

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.