Visa operates the world's largest retail electronic payments network and is one of the most recognized global financial services brands. Visa facilitates global commerce through the transfer of value and information among financial institutions, merchants, consumers, businesses and government entities.

We offer a range of branded payment product platforms, which our financial institution clients use to develop and offer credit, charge, deferred debit, prepaid and cash access programs to cardholders. Visa's card platforms provide consumers, businesses, merchants and government entities with a secure, convenient and reliable way to pay and be paid in 170 countries and territories.

In this role, you will be responsible for from basic data analytics, to implementing and delivering advanced machine learning models, high qquality reporting and visualization solutions and high impact business projects. You will get chance to leverage your business acumen, programming skills, technical knowledge of big data, analytics, modeling and machine learning techniques. This function is critical in building risk-relevant client solutions and intellectual property for Visa. The position will be based at Visa's headquarters in Foster City, California.

Responsibilities

• Work with project managers and clients to fully understand business requirements and desired business outcomes
• Build advanced reporting and visualization solutions for better Risk Model performance tracking and model validation 
• Assist in scoping and designing analytic projects and solutions, bringing in and testing innovative ideas for out-of-box solutions  
• Execute analytic projects ranging from small to large either individually or as part of a project team
• Extract actionable business insights from the data and build deliverables that clearly communicate the findings and recommendations
• Provide analytical assistance and solution to both interior and exterior clients, ensure smooth performance of risk model in production
• Perform other tasks on R&D, data governance, system infrastructure, analytics tool evaluation, and other cross team functions, on an as-needed basis
• Find opportunities to create and automate repeatable analyses or build self-service tools for business users

Business Skills and General Qualities:

• Good business acumen to orient data analysis and solutions to business needs of clients
• Strong desire and unyielding mindset to solve the hardest data problems
• Articulate communicator able to translate data and technical concepts for a business audience
• Demonstrated intellectual and analytical rigor, strong attention to details
• Team oriented, energetic, collaborative, diplomatic, and flexible style
• Intellectually curious and continuously striving to learn

Technical skills:

• High level of competence in Java, Python, Spark, R and Unix/Linux scripts
• Extensive experience with Non-SQL, Unstructured time-series and Splunk data for extracting and aggregating data
• Experience with predictive models, anomaly detection and statistical modeling such as regression, clustering techniques, decision trees, etc. is a must
• Expereince with deep learning, Neural Networks, Tensor Flow techniques is a must
• Experience with data visualization and business intelligence tools like Tableau is a must
• Real world experience using Hadoop, TIme series, JSON, Splunk, Elasticsearch and the related query engines

Education and Experience:

• Master’s degree in quantitative field such as Statistics, Operational Research, Computer Science, Engineering, etc.
• Minimum of 3-4 years of experience applying statistical solutions to business problems in relevant fields such as analytics, business consulting, or other data-driven functions
• Analytics experience in operational abnalytics(such as retail, hotels or airlines) is helpful but not required

All your information will be kept confidential according to EEO guidelines.