Job Description
Analytic Consultant 2 Go to My Saved Jobs
Job ID 49169BR About Wells Fargo
Wells Fargo & Company (NYSE: WFC) is a leading global financial services company headquartered in San Francisco (United States). Wells Fargo has offices in over 30 countries and territories. Our business outside of the U.S. mostly focuses on providing banking services for large corporate, government and financial institution clients. We have worldwide expertise and services to help our customers improve earnings, manage risk, and develop opportunities in the global marketplace. Our global reach offers many opportunities for you to develop a career with Wells Fargo. 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.
Market Job Description
About Wells Fargo India
Wells Fargo India enables global talent capabilities for Wells Fargo Bank NA., by supporting business lines and staff functions across Technology, Operations, Risk, Audit, Process Excellence, Automation and Product, Analytics and Modeling. We are operating in Hyderabad, Bengaluru and Chennai locations.
Department
Overview
Product, Analytics and Modeling (PAM) brings a team member-based approach to the international talent pool focusing on analytical requirements. PAM encompasses roles that deliver meaningful insights, analysis and reporting based on skills, experience and judgment to support the Enterprise Analytics and Data Science (EADS) organization operate successfully today, and continue on the right trajectory to operate successfully in the future.
About the Role
Analytic Consultant/Data Scientist is a partner-facing role and is responsible for delivering high impact analytic and data science projects by using analytics and AI.
EADS is the central analytics group tasked with solving high-impact business challenges and standing up cutting-edge analytical capabilities to be shared across Wells Fargos analytic community.
Primary role of the analytics consultant in the Model Implementation and Production team is to apply business knowledge and advanced programming skills and analytics to serve as a subject matter expert, analyst, advisor and consultant to the EADS Modeling COE supporting model lifecycle; model performance monitoring, performance testing, data analysis, model implementation, model production, delivery of model results, change management, documentation and governance.
Responsibilities:
Required to work individually or as part of a team on data science projects and work closely with business partners across the organization.
He/she would perform various complex activities related to statistical/machine learning models. Provide analytical support for porductionalizing, evaluating, implementing, monitoring and executing models across business verticals using technologies including but not limited to Python, Spark, and H2O etc.
Develop dynamic dashboards; analyze key risk parameters to help understand changes in business and model performance
Identify opportunities and deliver process improvements, standardization, rationalization and automations. Enhance and standardize performance analysis, reporting packages
Maintain documentation for implementation and monitoring processes across the team with focus on standardization of controls
Market Skills and Certifications
Essential Qualifications: BS degree or higher in a quantitative field such as applied math, statistics, physics, accounting, finance, economics, econometrics, or business/social and behavioral sciences with a quantitative emphasis
Bachelors or Masters degree in engineering field like computer science and engineering, Information technology, Electrical Engineering, Electronics and Telecommunication Engineering etc.
4-6 years of relevant experience
Experience in implementing, productionalizing, model monitoring of supervised, unsupervised and semi-supervised model techniques including but not limited to Random Forest, GBM, Ridge-Lasso-ElasticNet, XGboost etc. Time-series techniques like Arima (and the family), Arch, Garch etc.
Experience implementing, productionalizing, model monitoring of machine learning algorithms such as support vector machines, decision trees, logistic regression, clustering, neural networks, graphical models etc.
Excellent understanding of model metrics including AUC, ROC, CAP-curve, F-statistics etc. with clear understanding of how model performance is tuned
Excellent hands-on on with Drift and Lift analysis and related model monitoring metrics
Experience in implementing, model monitoring of Deep-learning, Artificial intelligence techniques like ANN, CNN, DNN, RNN etc. and how to strategize deep-learning layer and activations.
Strong programing skills.
Expertise in one or more analytic tools like : Python (with Anaconda), Scala ,Java, Scripting, H2O
Experience in one or more of Big Data skills SQL, Aster, Teradata, Hadoop, SPARK, H20 and various big data distributions like Hortonworks and MapR
Model Monitoring for NLP, Text mining, Image/Voice processing, digital analytics, deep learning, machine learning models
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.
Demonstrate excellent organization skills throughout the development of analytical solutions (data analysis documentation, hypothesis documentation, code management, etc.).
Strong ability to develop partnerships and collaborate with other business and functional areas
Knowledge and understanding of issues or change management processes
Experience determining root cause analysis
BusinessAnalytics
Data mining and Insights
Trend Analysis , forecasting and pattern recognition
Find opportunities in the data and able to communicate to the partners
Consult with partners to define issues/information needs
Present findings to multiple levels of management
Ensure that analyses are delivered on time, while surpassing partner expectations
Ensure partner transparency throughout the life of the project
Proactively seek opportunities to increase the value of analysis
Strong oral and written communication and consultative skills
Desired Qualifications:
Strong collaboration skills
Output deployment using appropriate technologies (HTML5, Shiny, Django, python)
Working expertise in Tensorflow, Keras or Pytorch would be added advantage
Ability to translate analytical data into useful business information
Critical thinking and strong problem solving skills
Ability to learn the business aspects quickly
Knowledge of banking industry and products in at least one of the LOB such as credit cards, mortgage, deposits, loans or wealth management etc.
Knowledge of functional area such as risk, marketing, operations or supply chain in banking industry.
Ability to multi-task and prioritize between projects
Ability to work independently and as part of a team
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.
