About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Job Description
Team Summary
The Risk and Identity Solutions (RaIS) team provides risk management services for banks, merchants, and other payment networks. Machine learning and AI models are the heart of the real-time insights used by our clients to manage risk. Created by the Predictive Fraud Intelligence (PFI) team, continual improvement and efficient deployment of these models is essential for our future success. To support our rapidly growing suite of predictive models we are looking for engineers who are passionate about managing large volumes of data, creating efficient, automated processes and standardizing ML/AI tools.
This is a great opportunity to work with a new Engineering and MLOps team to scale and structure large scale data engineering and ML/AI that drives significant revenue for Visa. As a member of the Risk and Identify Solutions modeling organization (PFI), your role will involve developing and implementing practices that will allow deployment of machine learning models in large data science projects.
Essential functions
Team members working for this role deploy, manage, and optimize data pipelines and machine learning models in production environments, ensuring smooth integration and efficient operations. The team also takes a data scientist’s model and make it accessible to the software that utilizes it. The essential functions of this role include:
- ETL processes: The role also involves developing and executing large scale ETL processes to support data quality, reporting, data marts, and predictive modeling.
- Spark pipelines: The role requires building and maintaining efficient and robust Spark pipelines to create and access data sets and feature stores for ML models.
- Distributed computing: This role involves developing distributed applications.
- Performance optimization: This role involves a lot of performance optimization on the existing data pipelines developed in Spark or other distributed frameworks.
- Infrastructure Management: This role involves managing VPM ML platform infra, datasets, data governance, application asset management, Migrations.
- Data pipelines orchestration: Working with tools like Apache air flow, Control M to deploy and manage data workflows. Might develop custom tools for effective data pipeline orchestrations.
- Collaboration with Technology teams: The role involves working with Data Science teams, Visa Research, and other Technology teams to leverage and provide feedback on ML systems and tools.
- Technical documentation and innovation: The role requires defining and building technical and data documentation, using code version control systems, ensuring data accuracy and consistency, and suggesting new ideas for innovation.
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:
2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
Preferred Qualifications:
3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
3+ years of relevant work experience and a Bachelor’s degree, OR 5+ years of relevant work experience in Data and BI engineering.
You must be a hands-on expert able to navigate both data engineering and data science disciplines to build effective engineering solutions that support ML/AI models. You will partner closely with global stakeholders in RaIS Product, PFI Data Science and Visa Research to help create and prioritize our strategic roadmap. You will then leverage your expert technical knowledge of data engineering, tools and data architecture in the design and creation of the solutions on our roadmap.
BI expertise:
Expertise in LOD(Level of Detail), DAX(Data Analysis Expressions), Power Query, M language, Tableau Prep to create measures and transform data.
Proficiency in data visualization tools such as Power BI.
Advanced proficiency in SQL, including a deep understanding of queries, joins, stored procedures, triggers, and views, as well as experience in optimizing SQL for improved performance and efficiency.
Possess a strong understanding of data interpretation, and the ability to effectively represent data using appropriate visualization techniques to deliver actionable insights.
Focus on the user experience to design interactive prototype with strong understanding of business context and data following the industry and Visa best practices.
Collect, analyze, transform, and interpret raw data from various sources. Design and develop BI solutions, data models and KPI measures to solve business problems.
Ability to create visualizations that are user-friendly, intuitive, and tailored to the needs of the end user, ensuring that the visual elements effectively convey the intended message.
Develop and maintain interactive dashboards and reports using BI tools such as Power BI using visual elements like charts, graphs, maps, visual design principles.
The position is based at Visa's offices in Bangalore, India
Visa 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.