Analyst, Advanced Analytics VAMP Operations Enablement

• As a data analyst in ERP team, you will help design, enhance, and build next generation fraud detection and monitoring solutions in an agile development environment
• Develop ongoing Management Information Systems (MIS) that provides oversight in Visa Ecosystem Risk Programs activity, including trends and discovery tool effectiveness
• Translate business problems into technical data problems while ensuring key business drivers are captured in collaboration with product stakeholders
• Independently deliver projects with minimal supervision, while collaboration with business and technical stakeholders
• Experiment with in-house and third-party data sets to test hypotheses on relevance and value of data to business problems
• Build needed data transformations on structured and unstructured data.
• Build and experiment with modeling and scoring algorithms. This includes development of custom algorithms as well as use of packaged tools based on machine learning, data mining and statistical techniques.
• Contribute to development of predictive analytics required under the programs
• Able to work on multiple projects and initiatives with different/competing timelines and demands
• Build-out Visa Transaction Laundering Detection models, leveraging AI/ML, that are targeted to the various merchant activities covered under the program

Basic Qualifications:
3 years of work experience with a Bachelors Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)
Bachelors or Masters in Computer Science, Operations Research, Statistics, or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis
Relevant exposure to modeling techniques such as logistic regression, Na ve Bayes, SVM, decision trees, or neural networks
Proficiency in leading-edge areas such as Machine Learning, Deep Learning, Stream Computing and MLOps
Experience with Python, SQL, PySpark and Hive on data and analytics solutions
Experience with data visualization and business intelligence tools like Tableau or Power BI
Excellent analytic and problem-solving capability combined with ambition to solve real-world problems
Excellent interpersonal, facilitation, and effective communication skills (both written and verbal) and the ability to present complex ideas in a clear, concise way
Have great work ethics, and be a team player striving to bring the best results as a team
Ability to work with internal product development and engineering teams to deliver products on schedule and with great quality. Comfortable in a heavily matrixed organization
Strong analytical and problem-solving abilities, ability to use hard data and metrics to back up assumptions and evaluate outcomes
Ability to juggle multiple priorities and make things happen in a fast-paced, dynamic environment
Ability to understand both business and technical concepts

Preferred Qualifications:
High level of competence in Python, Spark, and Unix/Linux scripts
Real world experience using Hadoop and the related query engines (Hive / Impala)
Experience with Natural Language Processing and Deep Learning algorithms is a plus
Modeling experience in card industry or financial service company using for fraud, credit risk, payments is plus
Experience with data visualization and business intelligence tools like Tableau or Power BI
Own delivery of multiple projects from technical requirements and quality assurance perspective.
Self-starter who can communicate with a deep understanding of the company needs and enable people to move forward through complexity
Demonstrated cross-functional competence, having led/coordinated teams across functional areas in large, matrixed organizations
Flexible and creative thinker with strong execution skills, generate out-of-the-box solutions, manage ambiguity, anticipate the impact of decisions/initiatives and able to move seamlessly from high level concepts to details
Strong hold on MS Excel and PowerPoint