Total 125 data entry job vacancies in Information Technology category in The United States of America

The position will be based in Visa’s Bangalore office. We are looking for an individual with deep expertise in building & operationalization of data science solutions based on business needs, using VISA’s big data sets and in certain cases in conjunction with our clients’ data. The candidate is expected to have hands on experience with associated technologies and ability to collaborate across teams and functions to deliver value to VISA and our clients. 

The successful candidate will have opportunities to work on huge varieties of problems across Marketing Analytics, Credit Risk, Open banking/ Open data, etc. S/he must have a highly analytical bent of mind and requisite skills to independently analyze and interpret data insights.

We are looking for a talented, technical, proactive, energetic, and passionate person who embraces challenges and is a proven problem solver.

 Principal Responsibilities

• Partner with teams across the organization including consultants, engineering, and data scientists to address prioritized business problems
• Work as part of the project team to understand business requirements, support data collection, cleansing, preparation, feature engineering, model build, evaluation, training, and deployment adhering to project scope and timelines.
• Define detailed scope and methodology, design and create solutions, and execute leveraging appropriate tools and techniques
• Support development of a robust system for measuring and optimizing the quality of deployed algorithms and models.
• Monitor AI models in production to evaluate performance, model drift, and decay.
• Actively seek out opportunities to innovate by using VisaNet, non-traditional data and new modelling techniques fit for purpose to the needs of our clients
• Act as data science advocate within our partners, advising and coaching analytical teams and sharing best practices and case studies.
• Identify, design, and implement internal process improvements to provide greater scalability to our existing client solutions
• Work with data science and data engineering partners in the region and globally to adopt standards and guidelines
• Make sure that the legal/compliance/security related requirements are fully adhered to.

Job Description

About Global Commercial Payments Platform

We are working on multiple technology stacks and want to add a highly motivated Engineer to our Commercial Payments organization in Foster City, CA. Visa's Commercial Payments organization is responsible for managing Visa's B2B Payment Global adoption on Cross-Border funds movement, innovation agenda and the management of strategic partnerships with critical financial institutions. This group is responsible for defining and building the Non-Card based payment innovation and product for Visa Inc. Globally. This includes:

• Distributed-Ledger based Cross border payment platform

• Near time Settlement 

• Enterprise ID stamping to create a digital identity for corporate entities

• Hyperledger chain-code development

• End-to-End Payment eco-system 

• Analytics and Data visualization

You can learn more about our work here:

Visa B2B Connect Launches in 32 Countries

Visa B2B Connect Launches Globally

Essential Functions

• Work on emerging technologies, building distributed applications

• Collaborate with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions.

• Drive development effort End-to-End for on-time delivery of high quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. 

• Collaborate with senior technical staff and PM to identify, document, plan contingency, track and manage risks and issues until all are resolved

• Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner.

• Partner with Product on implementation strategy.

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.

Team Summary

Visa Consulting & Analytics (VCA) is Visa's consulting division, serving Visa's clients (including card issuers, acquirers and merchants) and solving their strategic problems focused on improving performance and profitability. Drawing on our expertise in strategy consulting, payments, data analytics, marketing, operational and macroeconomics, VCA drives high impact and tangible financial results.

Join us as a Senior Manager, Data Solutions and Analytics and play an instrumental role in steering our Data strategy and delivery of data projects with Visa clients. You will translate analytical insights and used cases into captivating narratives tailored for our clients and stakeholders while offering valuable data advice to support business growth.

What a Senior Manager, Data Solutions and Analytics does at Visa:

• Identify new client opportunities by collaborating with market and regional teams.

• Develop data narratives, case studies and play back results to internal teams across the AP region.

• Grow Presence of Data Science projects with Visa clients across the region.

• Lead Commercialization activities for client data projects across the region.

• Coordinate Data Science initiatives across market and regional accounts.

• Coordinate with client data projects delivery team and project governance.

• Work closely with our different functional practice initiatives and account planning sessions.

Why this is important to Visa

This role will be vital in the growth of our Data as a Service business across Asia Pacific. The role will help to scale, diversify and transform our Managed Services Data capabilities which will support Visa’s business in the region. You will evolve our Data Services to drive uptake and delivery of Data projects. You will own key internal and external stakeholder relationships with Visa teams and our vendors as well as supporting our clients.

Projects you will be a part of:

This role will play a critical role in developing compelling stories from data to drive client actions and optimize portfolio performance. You will be working closely with teams across different regions to build new solutions and ideate approaches for various markets.

The Data Scientist will be a member of VCA Data Science team in Asia Pacific and will report to the squad lead. This position will be embedded at client office and based in Bangalore.

The individual will be accountable for delivery and implementation of analytics strategies as well as high-impact solutions for the client. He/she will bring in deep expertise from credit cards and retail banking with a strong background in data analysis to solve complex problems and unlock business value.

Key responsibilities include:

• Execute and deliver data analytics projects for the Visa client
• Drive credit card acquisition strategies with the use of client data and/or other sources of data e.g. Visa data, third party etc.
• Act as analytics advocate within our partners, advising teams and sharing best practices and case studies.
• Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent, and infrastructure.
• Explore leading methodologies, best practices and import successful methodologies from other international markets
• Effectively interact with clients and manage internal/external stakeholder communication

Why this is important to Visa

As payments consulting arm of Visa, VCA is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients. We’re building a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce with cutting-edge, creative, and advanced analytic solutions. The purpose of the team is to help Visa’s clients grow their business and solve problems by providing consulting services using data. 

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.

The Client Services Data & AI team strives to create an open, trusting data culture where the cost of curiosity – the number of steps, amount of time, and complexity of effort needed to use operational data to derive insights – is as low as possible.  We govern Client Services’ operational data and metrics, create easily usable dashboards and data sources, and analyze data to share insights.

We are a part of the Client Services Global Business Operations function and work with all levels of stakeholders, from executive leaders sharing insights with the C-Suite to customer-facing colleagues who rely on our assets to incorporate data into their daily responsibilities.

This specialist role makes data available from new sources, builds robust data models, creates and optimizes data enrichment pipelines, and provides engineering support to specific projects.  You will partner with our Data Visualizers and Solution Designers to ensure that data needed by the business is available and accurate and to develop certified data sets.  This technical lead and architect role is a force multiplier to our Visualizers, Analysts, and other data users across Client Services.

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.

The Visa Internship Program is an exciting opportunity to propel your career from the center of payments innovation in Asia Pacific. Throughout your 12 weeks at Visa, you will be empowered to take on impactful work and lead courageously to shape the future of commerce. Gain executive exposure, engage in out-of-the-box problem solving, and participate in social and community service activities. We are looking for people who can innovate, collaborate, and drive Visa into the next era of an already rapidly evolving digital marketplace.

What else can you expect from the internship?

• Own your career and personal growth! Sign up for projects, workshops, training courses and be at the forefront of emerging technologies by getting hands-on experience in AI, consulting, data visualization, and more!
• We are more than a workplace! Join our intern socials and networking events, soak in the Life at Visa.

At Visa, we believe in the power of small steps to get you closer to where you want to go. Take your first step with Visa to powering payments and uplifting people.

The Data Science team is a key part of the decision management engine at Visa. This is a high-performing team of data scientists, data analysts, statisticians, and business analysts from a variety of countries – serving major Financial Institutions and merchants in Asia Pacific. The team works with large data sets using quantitative techniques and builds complex statistical models that learn from big data, working across multiple teams and functions to develop cutting edge, creative and advanced analytic solutions and processes.  

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 three days a week based on business needs.

The Visa Internship Program is an exciting opportunity to propel your career from the center of payments innovation in Asia Pacific. Throughout your 12 weeks at Visa, you will be empowered to take on impactful work and lead courageously to shape the future of commerce. Gain executive exposure, engage in out-of-the-box problem solving, and participate in social and community service activities. We are looking for people who can innovate, collaborate, and drive Visa into the next era of an already rapidly evolving digital marketplace.

What else can you expect from the internship?

• Own your career and personal growth! Sign up for projects, workshops, training courses and be at the forefront of emerging technologies by getting hands-on experience in AI, consulting, data visualization, and more!
• We are more than a workplace! Join our intern socials and networking events, soak in the Life at Visa.

At Visa, we believe in the power of small steps to get you closer to where you want to go. Take your first step with Visa to powering payments and uplifting people.

The Data Science team is a key part of the decision management engine at Visa. This is a high-performing team of data scientists, data analysts, statisticians, and business analysts from a variety of countries – serving major Financial Institutions and merchants in Asia Pacific. The team works with large data sets using quantitative techniques and builds complex statistical models that learn from big data, working across multiple teams and functions to develop cutting edge, creative and advanced analytic solutions and processes.  

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 three days a week based on business needs.

• Leading, executing, and delivering data science projects for one of Visa's key bank clients in Malaysia.
• Hands on develop detailed project scopes and methodologies, designing, and implementing solutions using appropriate tools and techniques.
• Maintaining quality control and up-to-date documentation for all data science projects.
• Innovating by utilizing Visa's data and client data to meet client needs.
• Enhancing existing data science and analytic techniques by promoting new methodologies and best practices.
• Fostering thought leadership in the data science domain and building intellectual property through innovation.
• Managing communication with clients and stakeholders effectively.
• Mentoring, guiding, and supervising data scientists in the project team.
• Delivering analytics projects from inception to completion, providing actionable insights and recommendations.
• Identifying opportunities for innovation using non-traditional data and new modeling techniques.
• Managing internal and external stakeholders.
• Building data science visualization capabilities to address client problems.
• Advocating for data science within partner organizations, advising and coaching analytical teams, and sharing best practices and case studies.

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.

As a Data Engineer in Finance Technology DevOps team, this person will primarily work on Data & BI tool stack with exploration into AI/ML.  The candidate will participate in the development of Schematic Data Model & Business Intelligence services such cubes, reports, dashboards and visualization. He would play a pivotal role in researching and developing appropriate machine learning algorithms and AI models to solve complex problems. The candidate will additionally need to perform all activities within the Dev-Ops model not limited to design, development, testing, maintenance and support (Level 2).  Proven expertise in extending tools capabilities using APIs, SDK, and Web Customization is required.

Job Scope

This is an individual contributor role responsible for solving complex problems using wide ranging commercial and open-source tools. This role serves as a technical/functional specialist and works independently with guidance only in the most complex situations.

Responsibilities

• Collaborate with product manager, business partners and application platform teams to develop efficient and scalable reporting solutions.
• Participates in requirements elaboration sessions to ensure user needs are well understood and captured. 
• Build deep understanding of data and business (Revenue Apps) domain knowledge.
• Exhibit strong skills in data modeling. data warehouse concepts, data structures and building cube in multidimensional data model with proficiency on DAX scripting & high conceptual understanding of SQL scripting.
• Responsible for the design, development, testing, implementation and support functional semantic data marts using various modeling techniques from underlying data stores/data warehouse/data marts and facilitate Business Intelligence Data Solutions.
• Must demonstrate proficiency in administrating and maintaining the BI components involving OLAP & Reporting tools / components using Tableau/ Power BI.
• Assist as necessary with user acceptance testing of the reporting systems.
• Following Dev Ops Model, Agile implementation, CICD method of deployment & JIRA creation / management for projects.
• Assist owner with periodic evaluation of next generation & modernization of platform.  
• Exhibit Leadership Principles such as Accountability & Ownership of High Standards: Given the criticality & sensitivity of data . Customer Focus : Going Above & Beyond in finding innovative solution and product to best serve the business needs and there-by Visa.

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. 

What a Data Scientist does at Visa:

• Leading, executing, and delivering data science projects for one of Visa's key bank clients in Thailand.
• Hands-on development of detailed project scopes and methodologies, as well as designing, and implementing solutions using appropriate tools and techniques.
• Ensuring quality control and maintaining up-to-date documentation for all data science projects.
• Monitoring client portfolio growth data, identifying spending trends, and pinpointing growth opportunities using non-traditional data and new modeling techniques.
• Providing data support for card campaign design, including identification of customer spending tiers, set-up and maintenance of Test & Control groups for campaign targeting, and performance tracking of ongoing and tactical campaigns.
• Comparing card portfolio performance with the market to identify areas for improvement and opportunities for uplift, utilizing both Visa's and client’s data.
• Regularly tracking and benchmarking the portfolio dashboard, focusing on market segments and channel opportunities, and providing data-driven insights to enhance performance of both ongoing and ad-hoc/tactical campaigns.
• Enhancing existing data science and analytical techniques by promoting new methodologies and best practices.
• Fostering thought leadership in the data science domain and building intellectual property through innovation.
• Managing communication with clients and stakeholders effectively.
• Advocating for data science within partner organizations, advising and coaching analytical teams, and sharing best practices and case studies.

Why this is important to Visa

VCA Managed Service (VMS) is scaling rapidly across the AP region providing clients a full cycle solution for the implementation of enterprise programs and portfolio strategies.  Managed Services acts as a true extension of Visa Clients’ team bringing together expertise, capabilities, resources, and scale to enhance performance and increase profitability.  Managed Services engagements cover a wide variety of client strategic imperatives, from driving profitable lifecycle programs, to implementation of new capabilities or Visa products, to building new digital customer journeys.  VMS not only drives significant partnership value and strengthens Visa’s relationships with our clients, but it also enables rapid implementation of key priorities, which drive incremental revenue back to both the client as well as Visa.

The Data and Artificial Intelligence Platform (DAP) group is a vital part of Visa's Technology organization, providing the technology and processes to manage Visa's extensive data assets and deliver valuable information, products, and services to our customers. The Data as a Service (DaaS) team, a strong group of data engineers, focuses on building data pipelines to meet Visa's data needs.

As a Lead Data Engineer, you will design and develop enterprise-level data pipelines and services. As part of the DaaS development team within the Data and AI Platform organization based in Bangalore, India, your initial responsibility will be the end-to-end development of the Data Distribution Management System, migrating applications from Mainframe. In the future, you will explore new opportunities at Visa by developing and driving data services and products, leveraging the potential of machine learning and artificial intelligence, particularly Generative AI.

If you're excited about the Payment Data and AI space, eager to learn quickly, and looking to make a significant impact, this is the ideal place for you!

 Essential Functions:

• Lead the analysis, design, development, and implementation of various initiatives, with end-to-end ownership to deliver business functionalities.
• Develop high-quality code, participate in code reviews, and mentor junior developers to ensure timely deliveries.
• Ensure the team's deliverables meet or exceed the prescribed defect SLA by delivering zero-defect code.
• Champion security best practices by owning component security and collaborating with cybersecurity teams to implement and verify secure coding techniques.
• Collaborate with partners from business and technology organizations to develop key deliverables for Data Services and Products, including scalability, optimization, operations, availability, and roadmap.
• Effectively communicate status, issues, and risks in a precise and timely manner.
• Develop new products iteratively by building quick Proofs of Concept (POCs) and converting ideas into real products.
• Be highly hands-on, leading and developing large-scale multi-tenant software components on the platform in an Agile-based methodology to provide self-service capabilities.
• Actively participate in all phases of the software development lifecycle: analysis, technical design, planning, development, testing/CICD, release, and post-production/escalation support.
• Apply appropriate software engineering patterns to build robust and scalable systems.
• Mentor and provide technical guidance to junior data engineers, fostering their professional growth and ensuring adherence to best practices.
• Be the champion on productivity improvement using Generative AI in all aspects of SDLC.

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.

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 Visa Predictive Models (VPM) 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 (VPM), your role will involve developing and implementing practices that will allow deployment of machine learning models in large data science projects.

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, VPM 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.

The position is based at Visa's offices in Bangalore, India.

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.

About this Team: 

The AI Experimentation Platform (AIEP) team, a key component of the Data and AI Platform (DAP) technology organization within Visa, is at the forefront of harnessing the power of Artificial Intelligence (AI) to drive strategic growth and operational efficiency. The team is dedicated to developing an advanced platform that fosters technological innovation and delivers impactful solutions. This dedicated team is an integral part of Visa's commitment to harnessing AI's power, reflecting the company's forward-thinking approach to technological innovation. By creating an environment that fosters AI experimentation, they are paving the way for Visa's future growth and continued success. 

 As a Staff Data Engineer, you will have the unique chance to make a direct and meaningful impact by delivering solutions that powers AI systems. You will design, enhance, and build solutions dealing with the next generation AI/ML and GenAI technology and be an agent of transformation. We deliver and support strategic goals and have a lasting impact on our enterprise. We aim to stay ahead of the curve adapting to the advancement of AI and ML and keep our business miles ahead of our competitors.  

Essential Functions:  

• Collaborate with project team members (Product Managers, Architects, Analysts, Engineers, Project Managers, etc.) for development and implementation of new data and machine learning driven business solutions and platforms. 

• Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. 

• Collaborate with senior technical staff and PM to identify, document, plan contingency, track and manage risks and issues until all are resolved. 

• Present technical solutions, capabilities, considerations, and features in business terms. 

• Effectively communicate status, issues, and risks in a precise and timely manner. 

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.

Ecosystem Risk Programs is a Global Risk group that is tasked with the role of upholding the security and integrity of the payment ecosystem through the interdiction of illegal and fraudulent activity.  This is achieved through the deployment of risk quality control and/or compliance programs.  The programs are deployed through Visa Rules and additional client guidelines and Visa performs quality control leveraging proprietary tools, specialized third party vendors, regional risk teams, and other stakeholders. ERP also works with internal and external stakeholders to further its charter and initiatives.

This position is ideal for an experienced Senior Data Scientist who is passionate about collaborating with business and technology partners in solving challenging illegal and fraudulent activity. You will be a key driver in the effort to define the shared strategic vision for the Ecosystem Risk Programs platform and defining tools and services that safeguard Visa’s payment systems.

The right candidate will possess strong ML and Data Science background, with demonstrated experience in building, training, implementing and optimized advanced AI models for payments, risk or fraud prevention products that created business value and delivered impact within the payments or payments risk domain or have experience building AI/ML solutions for similar industries.

A successful candidate is a technical SME who can think broadly about Visa’s business and drive solutions that will enhance the safety and integrity of Visa’s payment ecosystem. The candidate will help deliver innovative insights to Visa's strategic products and business. This role represents an exciting opportunity to make key contributions to strategic offering for Visa. This candidate needs to have strong academic track record and be able to demonstrate excellent data science and software engineering skills. The candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills.

Essential Functions

• As a senior data scientist in ERP team, you will help design, enhance, and build next generation fraud detection 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 manage data science 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.
• Devise and implement methods for adaptive learning with controls on effectiveness, methods for explaining model decisions where necessary, model validation, A/B testing of models.
• Devise and implement methods for efficiently monitoring model effectiveness and performance in production.
• Devise and implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production.
• Contribute to development and adoption of shared predictive analytics infrastructure
• Guide and manage other team members on the methodology for key solutions
• Able to work on multiple projects and initiatives with different/competing timelines and demands
• Effectively communicate status, issues, and risks associated with the projects in a precise and timely manner
• Mentor the India-based Risk COE team that is dedicated to MIS and Analytics for the program
• Build-out Visa Transaction Laundering Detection models, leveraging AI/ML, that are targeted to the various merchant activities covered under the program

Ecosystem Risk Programs is a Global Risk group that is tasked with the role of upholding the security and integrity of the payment ecosystem through the interdiction of illegal and fraudulent activity.  This is achieved through the deployment of risk quality control and/or compliance programs.  The programs are deployed through Visa Rules and additional client guidelines and Visa performs quality control leveraging proprietary tools, specialized third party vendors, regional risk teams, and other stakeholders. ERP also works with internal and external stakeholders to further its charter and initiatives.

This position is ideal for an experienced Data Analyst who is passionate about collaborating with business and technology partners in solving challenging illegal and fraudulent activity. You will be a key driver in the effort to define the shared strategic vision for the Ecosystem Risk Programs platform and defining tools and services that safeguard Visa’s payment systems.

The right candidate will have a proficiency in conducting in-depth analyses and deep-dives on large volume of data and eventually transform these analyses into dashboards/reports. the candidate will possess strong ML and Data Science background, with demonstrated experience in building, training, implementing and optimized advanced AI models for payments, risk or fraud prevention products that created business value and delivered impact within the payments or payments risk domain or have experience building AI/ML solutions for similar industries.

A successful candidate is a technical SME who can think broadly about Visa’s business and drive solutions that will enhance the safety and integrity of Visa’s payment ecosystem. The candidate will help deliver innovative insights to Visa's strategic products and business. This role represents an exciting opportunity to make key contributions to strategic offering for Visa. This candidate needs to have strong academic track record and be able to demonstrate excellent data science and software engineering skills. The candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills.

Essential Functions

• 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

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.