Job Description Company Description Visa 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. Job Description Essential Functions Execute model development and performance tracking for risk models, generate performance analysis at the aggregate level, as well as issuer level. Interpret and present performance results to non-technical audiences. Compile complex predictive model packages for production deployment, support model installations, and monitor and calibrate production models. Propel analytic product development by conducting statistical analyses on various data sources, adding value to products through innovation and analysis. Identify opportunities to 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 market demands. Conduct transaction data analyses using Hadoop, Cloud, and big data technologies for internal and external product owners; develop deeper insights using advanced statistical methods. Ensure project delivery within timelines and meet critical business needs. Promote big data innovations and analytic education throughout the organization. This is a hybrid position. Employees can alternate between remote and office work, with an expectation of being in the office at least 60% of the time based on business needs. Qualifications Basic 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g., Masters, MBA, JD, MD, PhD). 3 or more years of work experience with a Bachelor’s Degree or more than 2 years with an Advanced Degree. A Master’s Degree in a quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or Engineering. Successful internships or at least 6 months of experience in predictive modeling. Preference for candidates with extensive experience in predictive modeling functions. PhD in a quantitative field is a plus. Strong background in machine learning, AI algorithms, computations, statistical learning theory, scalable systems (Spark, Hadoop), large-scale data analysis, optimization, or deep learning. Experience with advanced techniques and emerging approaches (Python, Spark, TensorFlow, H2O, Dask, etc.), and proficiency in SQL and Hive. Good communication skills and attention to detail. Team player capable of multitasking in a dynamic environment. Knowledge of the financial and payment industry or experience with fraud modeling is a plus. Understanding of deep learning concepts such as embedding, CNN/RNN/Transformer, Attention, etc. Functional Data Engineering skills: Linux/Unix environment, programming in Python, SQL, Java, Golang, Rust, or C/C++, experience with large-scale data ingestion, processing, and storage, and familiarity with scheduling tools like Airflow. Additional Information Work Hours: Varies based on department needs. Travel Requirements: 5-10% of the time. Mental/Physical Requirements: Office setting; sitting, standing, communication, and operation of standard office equipment. Visa is an EEO Employer. Qualified applicants will receive consideration without regard to various protected statuses. Visa also considers applicants with criminal histories in accordance with EEOC guidelines and local laws. U.S. Applicants only: The estimated salary range is $116,500 to $148,500 per year, potentially including incentives. Salary varies based on knowledge, skills, experience, and location. The position may be eligible for bonuses and equity, along with a comprehensive benefits package including Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. #J-18808-Ljbffr ZipRecruiter
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