Company Description

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

Why Visa?

As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable, and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analogue to digital, Visa is applying our brand, products, people, network, and scale to reshape the future of commerce.

At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators, and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.

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.

You're an Individual. We're the team for you. Together, let's transform the way the world pays.

Why Visa?

When you join Visa, you join a culture of purpose and belonging, where your growth is priority, your identity is embraced, and the work you do matters. Your work will have a direct impact on millions of people around the world – helping unlock financial access to enable the future of money movement.

To support our rapidly growing group we are looking for data scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems.

Job Description

The position will be based in Visa’s Sydney/Melbourne office. We are looking for a data scientist with experience in data preparation, data analysis and implementing AI-centric solutions. You will be working with 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 analyse 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.

What is Visa Consulting & Analytics?

Visa Consulting & Analytics (VCA) Data Science team is a key part of the Global Data Solutions organization, a high-performing team of data scientists, data analysts and data engineers 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. Our focus lies on building creative solutions that empower our clients.

Principal Responsibilities

· Partner with roles across the organization including consultants, engineering, and data scientists to address prioritized business problems.

· Build data driven solutions/data science models aligned with stakeholder priorities and leading different vendors for the execution if required.

· Break large solutions into smaller, releasable milestones and seek feedback from product managers, clients, and other stakeholders.

· 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 optimising 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.

· Make sure that the legal/compliance/security related requirements are fully adhered to.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Basic Qualifications and Experience

· Minimum of bachelor’s degree or equivalent

· Qualification in Data Science/Computer Science.

· Total 3+ years of experience being data scientist/engineer or analytics consultant.

· Hands-on experience in developing machine learning models, scaling data solutions, and delivering end-to-end data science projects.

· Experience with complex, high volume, multi-dimensional data.

· Familiar with typical machine learning models such as Linear & Logistic Regression, Decision Trees, Random Forests, Support Vector Machines, Neural Networks, Clustering, etc.

· Proficient in big data aggregation using Hive, PySpark, SQL, Python.

· Experience with visualisation tools, such as advanced user of Power BI, Tableau, or similar.

· Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically.

· Strong internal team and external client stakeholder management with a collaborative, diplomatic, and flexible style, able to work effectively in a matrixed organization

· Exhibit intellectual curiosity and strive to continually learn, self-motivated and results oriented individual with the ability to handle numerous projects.

· Ability to learn new tools and paradigms as data science continues to evolve at Visa and elsewhere.

· Demonstrated resource planning and delivery skills.

· Good communication and presentation skills with ability to interact with different cross-functional team members at varying level.

· Experience in Marketing Analytics, Credit Risk or Fraud Risk analytics will be a plus.

· Understanding of the Payments and Banking Industry including aspects such as consumer credit, consumer debit, prepaid, small business, commercial, co-branded and merchant will be a plus.

· Consultancy experience is a plus.

Technical Expertise

· Experience in writing and optimizing efficient SQL queries and Python/PySpark for data science.

· Expertise in dashboard and report development using tools such as Tableau/Power BI/Micro Strategy.

· Good understanding of Agile way of working, tools such as JIRA and practical experience of working in Agile teams.

· Experience in deployment, operationalization of Machine Learning models.

· Experience with Apache Airflow will be an added advantage.

· Experience of cloud-based data science platforms will be an added advantage.

Business and Leadership competencies

· Results-oriented with strong problem-solving skills and demonstrated intellectual and analytical rigor.

· Team oriented, collaborative, diplomatic, and flexible.

· Detail oriented to ensure highest level of quality/rigor in reports and data analysis.

· Proven skills in translating analytics output to actionable recommendations and delivery.

· Experience in presenting ideas and analysis to stakeholders whilst tailoring data-driven results to various audience levels.

· Exhibits intellectual curiosity and a desire for continuous learning.

Additional Information

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.