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DATA SCIENCE AUDIT MODEL DEVELOPMENT

Company: Wells Fargo
Location: Des Moines
Posted on: January 17, 2020

Job Description:

Job Details Company Overview Job Description Important Note: During the application process, ensure your contact information (email and phone number) is up to date and upload your current resume prior to submitting your application for consideration. To participate in some selection activities you will need to respond to an invitation. The invitation can be sent by both email and text message. In order to receive text message invitations, your profile must include a mobile phone number designated as 'Personal Cell' or 'Cellular' in the contact information of your application. At Wells Fargo, we want to satisfy our customers' financial needs and help them succeed financially. We're looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you'll feel valued and inspired to contribute your unique skills and experience. Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you. Enterprise Finance drives financial management for the company and maintains and enhances risk and financial controls. Key functions within Enterprise Finance include finance and accounting; Treasury; corporate development, mergers, and acquisitions; Data Management and Insights, the Customer Remediation Center of Excellence, Enterprise d Services, Business Process Management, and Corporate Strategy. Enterprise Finance informs shareholders, regulators, taxing authorities, team members, and leaders of the company's financial performance through earnings releases, investor meetings and conferences, and meetings with regulators and credit rating agencies, following appropriate reporting guidelines. They also maintain and enhance risk and financial controls and lead many of the company's shared services functions including corporate properties, security, and global services. Data Management and Insights (DMI) is transforming the way that Wells Fargo uses and manages data. Our work enables Wells Fargo to empower and inform our team members, deliver exceptional experiences for our customers, and meet the elevated expectations of our regulators. The team is responsible for designing the future data environment, defining data governance and oversight, and partnering with technology to operate the data infrastructure for the company. This team also provides next generation analytic insights to drive business strategies and help meet our commitment to satisfy our customers' financial needs. The Artificial Intelligence Model Development Center of Excellence (AI MD CoE) team is a data science team, responsible for developing and deploying machine learning and AI solutions for a number of domain areas such as fraud prevention, credit risk, experience personalization, customer listening, anomaly detection and operational cost improvement. The CoE partners closely with the AI Enterprise Solutions and the AI Technology teams at the bank, and brings a cross-functional approach to identifying, developing and deploying AI solutions. The CoE requires high-skill/ high-motivation individuals who enjoy working collaboratively in a team setting, used to taking decisions autonomously and comfortable with a dynamic work environment. The COE is looking for an experienced analytics professional to support Internal Audit. KEY RESPONSIBILITIES INCLUDE: - Have the ability to create sophisticated, value-added analytic systems for fraud, collections, deposits, risk & compliance, and others using big-data machinery and advanced machine learning techniques - Have strong interpersonal skills to work effectively in an agile and collaborative environment - Provide technical advice to other members of the team and across the organization on topics including machine learning code, machine learning algorithms and traversing across multiple big data platforms - Identify and lead the evaluation of new software techniques and technologies, including delivery of results - Identify new applications for machine learning across the company and work with business partners to pilot - Partner with WFAS executives and senior leaders to frame the problem and define/identify business objectives - Identify/assess data sources - Design, develop, and deploy AI/ML models using state of the art NLP and ML techniques available in the open stack and/or vendor solutions - Data visualization - Communicating the results - Responsible of model development document and monitoring processes - Adhere to corporate model risk policy and ensure compliance with model risk management - Working with other data science teams to identify, gather, retain, and publicize modeling artifacts required for approved and repeatable processes - Contribute to NLP data science team's group effort to stay concurrent with the cutting edge and bleeding edge of NLP/ML/DL algorithms, methodologies in the open source community and vendor solutions. - Work with AI technology and production teams to operationalize models Required Qualifications - 4+ years of Python experience - 4+ years of SQL experience - 4 + years of experience using quantitative machine learning techniques - A master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science - 2+ years of experience in an advanced scientific or mathematical field Desired Qualifications - Big Data experience - Ability to work and influence successfully within a matrix environment and build effective business partnerships with all levels of team members - Meeting facilitation experience in leading discussions that result in consensus and commitment - Strong analytical skills with high attention to detail and accuracy - Experience with Tensorflow, Theano or Keras - 1+ years of Natural Language Processing (NLP) experience Other Desired Qualifications - Solid understanding of and 5+ years of experience applying machine learning techniques such as neural networks, random forest, GBM and SVM, Probabilistic Graphical Models, Deep Learning architectures, etc. - Experience with signal processing or optimization techniques - Advanced knowledge of statistical techniques (e.g. sampling, probability, multivariate data analysis, regression, PCA, time-series analysis) - Strong ability to retrieve, combine and transform data from numerous information systems - Strong acumen in diagnosing and resolving data issues - Experience working with big data infrastructure with tools such as Hive, Spark and h2o - Exceptional analytical, critical thinking, quantitative reasoning skills, and problem-solving skills. Ability to relate complex analysis and insights to effective business strategy. - Other advanced statistical tools such as SAS, R and Weka - Experience using GitHub for version control and collaboration - Knowledge and/or experience with the following: - Implementing solutions with common NLP frameworks and libraries in Python (NLTK, spaCy, gensim) or Java (Stanford CoreNLP, NLP4J) - Common NLP techniques, such as - Pre-processing (tokenization, part-of-speech tagging, parsing, stemming) - Semantic analysis (named entity recognition, sentiment analysis) - Modeling and word representations (TF-IDF, LSA, LDA, word2vec) - Data engineering skills (deploying analytical solutions across an organization in a production format) - Hands on experience with vendor tools such as Digital Reasoning Street Address AZ-Tempe: 1150 W Washington St - Tempe, AZ IA-Des Moines: 6200 Park Ave - Des Moines, IA MN-Minneapolis: 600 S 4th St - Minneapolis, MN NC-Charlotte: 11625 N Community House Road - Charlotte, NC NC-Charlotte: 401 S Tryon St - Charlotte, NC IA-Des Moines: 800 Walnut St - Des Moines, IA Disclaimer All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act. Relevant military experience is considered for veterans and transitioning service men and women. Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation. Recommended skills Deep Learning Data Science Word2vec Tensorflow Theano Random Forest

Keywords: Wells Fargo, Des Moines , DATA SCIENCE AUDIT MODEL DEVELOPMENT, Accounting, Auditing , Des Moines, Iowa

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