Wells Fargo Lead Quantitative Analytics Specialist 

India, Karnataka, Bengaluru 

835917564

In this role, you will:

• Quantitative Analytics Specialist/Data Scientist is a partner-facing role and is responsible for delivering high impact analytics, and data science projects by using analytics, Machine Learning and Artificial Intelligence (ML/AI) with a focus on Digital, Information Security, Cyber Security, and Technology.
• Primary role of the incumbent in the AI Model Development COE is to apply business knowledge and advanced programming skills, and ML/AI to serve as a subject matter expert, analyst, hands-on practitioner to support model lifecycle – data analysis, model development, performance metrics, model implementation, model production, delivery of model results, change management, documentation and governance.
• Maintains deep understanding of information security tools and technologies, emerging security issues, risks, vulnerabilities and guides others in implementing AI/ML solutions.
• Designs, develops and implements advanced cyber security solutions, leads and influence teams and stakeholders to address security concerns / issues during the planning lifecycle; develop solutions that address multiple classes of security challenges
• Lead cross-functional initiatives including creation, implementation, documentation, validation, articulation and defense, of highly advanced model development work
• Strategize short and long-term objectives, and provide analytical support for a wide array of business initiatives
• Applies the theory and mathematics behind the analysis and modeling
• Review and assess models inclusive of technical, audit, and market perspectives
• Collaborate and consult with stakeholders including regulators and auditors
• Present strategies and results of analysis and insights

Required Qualifications:

• 5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• B.Tech/B.Engg/M.Tech/M.Engg/Ph.Dor equivalent in a quantitative field such as Applied Mathematics, Statistics, Physics, Economics, Computer Science,Information technology, Electrical Engineering, Electronics and Telecommunication Engineering
• Demonstrated experience at leading and delivering multiple modeling and advanced analytics projects in an end-to-end manner in the last 5 years
• Expertise in SQL, Python programming, Spark/PySpark, Github, Splunk, H20 and strong experience with AI/ML packages related to modeling, data analysis, visualization and automation.
• Expertise in at least two of supervised learning, unsupervised learning, semi-supervised learning and time series analysis.
• Ability to identify and manage complex issues and negotiate solutions within a geographically dispersed organization.
• Demonstrated excellence at identifying stakeholders, understanding needs, and driving to resolution
• Experience in implementing machine learning algorithms such as, decision trees and bagging/ boosting ensembles, isolation forests, model stacking, logistic regression, clustering, neural networks etc.

Desired Qualifications:

• Excellent verbal, written, and interpersonal communication skills.
• Strong analytical skills with high attention to detail and accuracy.
• Knowledge and experience in Banking or Finance domain
• Experience with UNIX/LINUX environments, and understanding of app security, cloud security, security operations
• Understanding of Deep-learning and Gen AI

Job Expectations:

• Person would be required to lead projects alongside a Data Science Manager and also work individually or as part of a team on data science projects to liaison closely with business partners across the organization

• Individual would be developing statistical/ML/AI models using various techniques
• Role would require working closely with data engineers, BI and UI specialists to deliver top notch analytical solution for the bank.
• Define business problem and translate it into analytical problem.
• Adapt at attracting, hiring and retaining top notch data science talents and build world class team
• Help create conducive environment for nurturing and growing talents.
• Provide thought leadership around ML/AI model development and deployment
• Contribute to innovation and technical acumen around advanced AI/ML

30 Aug 2024

Wells Fargo Recruitment and Hiring Requirements:

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.