Job Description

Company DescriptionVisa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid.Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.Are you skilled at turning hard numbers into compelling stories and useful strategic insights? Do you solve complex data challenges with creative flair? Put those skills to work answering strategic questions for one of the world's most respected and innovative payments companies.In this role, you will be responsible for a range of duties from basic data analytics, to implementing and delivering advanced machine learning models, visualization solutions and high impact business projects. You will get chance to leverage your business acumen, programming skills, technical knowledge of big data and machine learning techniques. This function is critical in building market-relevant fraud solutions for our clients and intellectual property for Visa.
The position will be based at Visa India office.Essential Functions

• Validate newly developed risk models, generate performance analysis at the aggregate level, as well as issuer level. Interpret and present performance results to non-technical audience
• Prepare new model testing packages for production deployment, and support model installations and calibration
• Propel analytic product development via conducting statistical analyses on various data sources, and add values to products by being innovative and applying the analysis
• Find opportunities to create and automate repeatable analyses or build self-service tools for business users
• Support sales and business efforts with sound statistical and financial analysis, execute ad-hoc analyses to meet the fast-changing market demands
• Conduct transaction data analyses with Hadoop, Cloud and big data technologies for internal and external product owners, and develop deeper insights into the products using advanced statistical methods
• Ensure project delivery within timelines and meet critical business needs
• Promote big data innovations and analytic education throughout the Visa organization

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.QualificationsBasic Qualifications

• A Master's Degree in a quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or Engineering, or a Bachelor's Degree with 7 years of relevant experience.

Preferred Qualifications

• Strong experience in predictive modeling roles.
• Strong background in two or more of the following areas: machine learning, AI algorithms, computations, statistical learning theory, scalable systems (e.g., Spark, Hadoop), large-scale data analysis, optimization, functional analysis, and deep learning.
• Experience with a range of advanced techniques and emerging approaches to big data and data science (Python, Spark, TensorFlow, H2O, etc.), and extensive experience with SQL and Hive for extracting and aggregating data.
• Good oral and written communication skills and attention to detail.
• Must be a team player and capable of handling multiple tasks in a dynamic environment.
• Knowledge of or previous experience in Visa and financial/payment industry or fraud modeling is a plus, but not required.

Additional InformationVisa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

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