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 20 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
Wells Fargo views information security as enabling lines of business to mitigate information security risk in accordance with our risk appetite. Through a framework that addresses policy, process, operations, people, and technology, IS protects our infrastructure, company data, and customer assets while ensuring alignment with applicable regulations and laws.
Our vision is to provide Wells Fargo with world-leading cyber security risk management.
Wells Fargo Secure Code Review (SCR) provides application vulnerability identification and also validation of remediated findings at the code level for critical applications used by Wells Fargo, from an automated and manual static analysis perspective. This role is a key member of the Secure Code Review team who will help to further our machine learning capabilities in advancement of our static analysis competencies
Work with stakeholders throughout the organization to identify opportunities for using company data to drive automation and process improvement.
Leverage large data sets to find opportunity for process optimization, using models to test the effectiveness of different courses of action.
Mine and analyze data from systems of record to drive automation, continuous improvement and quality assurance.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Custom data models and algorithms to apply to data sets.
Processes and tools to monitor and analyze model performance and data accuracy as well as to design, build, and monitor a data lake.
Perform model evaluation and management to test model quality, data drift and model drift, anomaly detection and more.
Exhibit capabilities in a variety of data mining and data analysis methods, using varying tools to build and implement models.
Submit patents, as appropriate, to protect your inventions.
4+ years of experience using quantitative machine learning techniques
4+ years of experience delivering ETL, data warehouse and data analytics capabilities on big-data architecture such as Hadoop
4+ years of development experience with languages such as Python, Java, Scala or R
3+ years of experience with Big Data or Hadoop tools such as Spark, Hive, Kafka and Map
3+ years of data science, manipulating data sets and building statistical models
3+ years of software development working with large datasets and data manipulation
3+ years of using a variety of supervised and unsupervised machine learning techniques (clustering, decision tree learning, artificial neural networks) and their real-world advantages and drawbacks
1+ year of using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage) and applications.
Market Skills and Certifications
Experience with MongoDB.
Experience in statistical and data mining techniques, including GLM/Regression, Random Forest, Boosting, Trees, text mining and more
Experience using and creating micro-services and working with micro-services architectures
Experience creating and using advanced machine learning algorithms and statistics, including regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, NLP, and more
Experience visualizing and presenting data for stakeholders using tools like Tableau, HighCharts, Matplotlib, and Seaborn
Experience in call graphs, data flow, compilers.
Experience with SciKitLearn, TensorFlow, Keras, XGBoost, RapidMiner, DataRobot, H3+0 Driverless AI, C3+.ai, Jupyter Notebooks
Experience with all aspects of data security as it relates to data science, sensitive data protection, encryption, authentication and authorization
SAST (Static Analysis Software Testing) experience
Ability to execute in a fast paced, high demand, environment while balancing multiple priorities
Ability to work effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability are important
Ability to work independently
Ability to articulate issues, risks, and proposed solutions to various levels of staff and management
Ability to translate and present complex technical data across technical and non-technical groups
Outstanding problem solving skills
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.
We value the leadership, discipline, and skills you’ve gained through your service to our country and recognize the contributions our veteran team members bring to the table. We’re so committed to hiring and retaining military veterans, veterans with disabilities, National Guard members, and Reservists that we’ve made it our goal is to employ 20,000 veterans by 2020.
As a Wells Fargo team member, you’ll find a work culture that is team-oriented, collaborative, structured, and challenging. We support veterans transitioning from military service with a variety of job options, confidential resources, educational information, and career guidance. You may choose to join our Veteran’s Team Member Network, a group of thousands who share an interest in veterans’ matters, and that promotes greater awareness and job development within the veteran community. To learn more about opportunities at our company, please visit wellsfargojobs.com/military. Let’s talk about turning your military experience into a great civilian career.