Wells Fargo Job - 30986586 | CareerArc
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Company: Wells Fargo
Location: Hyderabad, Telangana, India
Career Level: Mid-Senior Level
Industries: Banking, Insurance, Financial Services

Description

About Wells Fargo

Wells Fargo & Company (NYSE: WFC) is a leading global financial services company with $2.0 trillion in assets and offices in over 37 countries. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides asset management, capital raising and advisory, financing, foreign exchange, payments, risk management, and trade finance services to support customers who conduct business in the global economy. At Wells Fargo, we want to satisfy our customers' financial needs and help them succeed financially. We also value the viewpoints of our team members and encourage them to be their best. Join our diverse and inclusive team where you will feel valued and inspired to contribute your unique skills and experience. We are looking for talented people who will put our customers at the center of everything we do. Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you. Learn more at our International Careers website.


Market Job Description

About Enterprise Global Services
Enterprise Global Services (EGS) enables global talent capabilities for Wells Fargo Bank NA., by supporting over half of Wells Fargo's business lines and staff functions across Technology, Business Services, Risk Services and Knowledge Services. EGS operates in Hyderabad, Bengaluru and Chennai in India and in Manila, Philippines. Learn more about EGS at our International Careers website.

Department Overview
The Technology Infrastructure (TI) team is responsible for enterprise-wide infrastructure services across the global footprint, including networking, production services, storage, data centers, mainframe, midrange and Cloud-based systems, distributed systems, and international infrastructure.

About the Role

Organizes and leads broad initiatives to ensure that data can effectively support business processes. Collect, organize, present, analyze, and interpret data to reach valid conclusions and make correct decisions. Understanding the business challenge, creating some valuable actionable insights to the data, and communicating their findings to the business. Consults with and provides recommendations to senior management regarding assessments of the current state of data and metadata within area of assigned responsibility. Along with predictive analytics, use coding to examine through large amounts of unstructured data to derive insights and help design future strategies. Enable data-driven decision making often by creating models or prototypes from trends or patterns they discern and by underscoring implications.Responsible for basic documentation that supports communications related to requirements, design decisions, issue closure, and /or remediation updates

Responsibilities

  • Work closely with business models, data logic, algorithms to identify issues and use data to propose solutions for effective decision making
  • Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports for customers or the wider organisation
  • Use machine learning tools and statistical techniques to produce solutions to technology and business problems
  • Test data mining models as part of research and analysis along with development of prototypes/proof of concept
  • Create clear reports that tell compelling stories about how customers or clients work with the business
  • Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
  • Establish new systems and processes and look for opportunities to improve the flow of data
Essential Qualifications
  • Degree in Mathematics, statistics and operational research.
  • 5-10 years of relevant experience in developing platforms for large scale data processing, data management, data governance, data quality or data analysis and implementing machine and deep learning algorithms.
Desired Qualifications
  • 3-5 years- experience in in area(s) of statistical analysis/ modeling/ text mining/sentiment analysis/supervised and unsupervised learning
    • Analytics Framework
    • Exploratory Data Analysis
    • Machine Learning Workflow
    • Using Algorithms to Build Models
    • Market Segmentation and Transactional Analysis
    • Anomaly Detection
    • Estimation and Prediction
    • Classification

Market Skills and Certifications

Essential Qualifications

  • Degree in Mathematics, statistics and operational research.
  • 5-10 years of relevant experience in developing platforms for large scale data processing, data management, data governance, data quality or data analysis and implementing machine and deep learning algorithms.
Desired Qualifications
  • 3-5 years- experience in in area(s) of statistical analysis/ modeling/ text mining/sentiment analysis/supervised and unsupervised learning
    • Analytics Framework
    • Exploratory Data Analysis
    • Machine Learning Workflow
    • Using Algorithms to Build Models
    • Market Segmentation and Transactional Analysis
    • Anomaly Detection
    • Estimation and Prediction
    • Classification
· Programming languages such as R, Python, C or Java and have strong database design and coding skills.
· Proficiency in Statistics, Probability Theory
· Visualization - ExtJS, Kibana
Experience in NLP packages

We Value Diversity

At Wells Fargo, we believe in diversity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We comply with all applicable laws in every jurisdiction in which we operate.


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