Job Description

About this role:



Wells Fargo is seeking a Senior Quantitative Model Solutions Specialist.



In this role, you will: • Ensure documentation and process adherence of all use-cases and ML model artefacts to comply with the risk and compliance requirements.
• Manage the Data Ingestion activities during the use-case implementations.
• Assist with the onboarding of the Data Scientists and Engineers on AI platforms.
• Collaborate and consult extensively with the other Platform Consultants, Product Managers, Data Scientists, and Engineers to manage and deliver the activities such as:
+ setting up the development environments with necessary folders, compute resources (CPU/GPU), required accesses, and python libraries/packages,
+ obtaining all the required model development related operational approvals right from data ingestion to deployments,
+ managing the SharePoint configurations and model related artefacts' management, and
+ reviewing model deployment requirements checklists and adhering to the required procedures & guidelines at all stages of the use-case delivery.
• Work individually or as part of a team on data science model monitoring projects and work closely with business partners across the organization.
• Provide analytical support for model deployment, model performance/data drift monitoring, model maintenance across business verticals using technologies including but not limited to Python, Spark, and H2O etc.

Required Qualifications: • 4+ years of quantitative solutions engineering, model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications: • 4+ years of experience with Artificial Intelligence or Data Science related project/program/product management, communication, implementation, and strategic planning.
• Bachelor's degree or higher in a relevant field such as computer science, data science, statistics, mathematics, and/or depth of coursework in these areas.
• Experience in artificial intelligence, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
• Excellent understanding of Machine learning model development lifecycle - business problem understanding, Data ingestion, EDA, Feature engineering, Model development, testing, evaluation, model deployment, model monitoring and model maintenance.
• Proven experience in identifying threshold values for the related model monitoring metrics and suggestions being passed on to data scientist and business when model re-training required.
• Hands on experience in Python/Pyspark, SQL.
• Proficiency in project management tools such as Jira, Confluence, Git, Microsoft Office tools (Excel, PowerPoint, Word, Visio).
• Ability to manage internal communications planning as per brand standards.
• Ability to work and influence successfully within a matrix environment and build effective technical and strategic partnerships with all levels of team members both business and technical.
• Excellent verbal, written, and interpersonal communication skills.
• Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment.
• Working knowledge and understanding of AI, Machine Learning, public cloud-based AI and ML model development lifecycles.
• Good understanding of Engineering practices, big data, data lake environments, and distributed computing systems/frameworks such as PySpark.
• Working experience with Engineers and Production Support teams in driving root cause analysis of production issues and identifying resolution and preventative steps.
• Experience in quantitative solutions engineering, model solutions, quantitative model operations, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
• Strong Skills in Teradata, Hadoop

Posting End Date:


30 Jul 2024

•Job posting may come down early due to volume of applicants.




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.



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