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Visa Australia

  • 1,000 - 50,000 employees

Data Science, Visa Consulting & Analytics Graduate

Sydney

Opportunity Expired

Join Visa, the global leader in digital payments, and empower millions worldwide with seamless transactions, revolutionizing the way we pay and get paid.

Opportunity details

Opportunity Type
Graduate Job

Minimum requirements

Accepting International Applications
No
Qualifications Accepted
B
Accounting
Commerce
Finance
Business
Business Administration
Management
Economics
I
Computer Science (all other)
Data Science
Programming & Software Engineering

Hiring criteria

Entry pathway

See details

Working rights

Australia

  • Australian Citizen
  • Australian Permanent Resident
Read more

About Visa

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.

Your role

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 their expertise in strategy consulting, payments, data analytics, marketing, and operational and macroeconomics, VCA drives high-impact and tangible financial results.

Rotation 1: Data Science Issuer Advisory

In the first rotation, the graduate will work alongside members of the issuer advisory consulting team to deliver projects for a diverse client set (primarily issuers & FinTechs in the Australian market).

Projects may include:

  • Designing the features of a new debit/credit card for an issuer that would be most appealing to their target customers and align with their strategic objectives
  • Conducting a customer segmentation for an issuer client to partition their customers into groups based upon common attributes to enhance loyalty through customised marketing campaigns
  • Leveraging predictive modelling to provide issuers with cardholder scores to inform targeted communications (e.g. dormancy scores, travel propensity scores, E-commerce engagement scores)

Responsibilities:

  • Complete a detailed analysis of client data and identify preliminary trends and themes in the data
  • Assist the consulting team in developing & testing hypotheses regarding key issues highlighted by clients
  • Summarise insights derived from data analysis into reports / PowerPoint packs that can be easily interpretable by clients
  • Present results from data science analyses to a diversity of internal/external stakeholders (with varying degrees of seniority & technical aptitude)
  • Liaise with colleagues from other business functions (e.g. product, marketing etc.) to deliver exceptional client outcomes

Rotation 2: Data Services

In the second rotation, the graduate will work in the Data Services team and assist with pipeline automation, taking ownership of existing products, and contributing to solution development to expand data science capabilities in the Asia-Pacific region. The graduate will gain experience with a variety of coding languages (Python, SQL, R), data visualisation tools (Tableau), and big data infrastructure (Hadoop, Spark, Apache Airflow).

Projects may include:

  • Delivering existing subscription-based projects by processing ETL pipelines, conducting quality assurance checks, and distributing to clients
  • Designing end-to-end data pipelines to translate transaction data into summary insights that can be actioned by clients
  • Implementing modifications to existing technical innovations / patented solutions at Visa to enhance accuracy / improve process efficiency (e.g. enhancing a Visa-patented algorithm to predict spend ‘centre of gravity for cardholders)
  • Developing new & innovative capabilities using Visa Network data to service client needs in the AP market (e.g. geospatial analytics, time series forecasting, statistical modelling for cardholder profiling etc.)

Responsibilities:

  • Contribute to solution development under the supervision of data science leads in the AuNZSP team
  • Propose new ideas and challenge existing assumptions to provide thought diversity and pioneer innovation
  • Conduct quality assurance checks on data output before client distribution
  • Summarise insights from transaction data using a suitable coding language (SQL / Python / R)
  • Understand existing methodologies and identify areas for improvement to enhance (a) code hygiene, (b) accuracy of results, and (c) program efficiency
  • Package existing data pipelines into automated workflows using Apache Airflow
  • Implement best-practice collaboration conventions by sharing code through BitBucket / GitHub
  • Construct documentation manuals for data science methodologies to simplify future handover & onboarding processes
  • Collaborate effectively within an agile team environment, working closely with cross-functional team members to understand project requirements and deliver high-quality solutions

Benefits

You can look forward to these benefits as an employee of Visa. (Source: Glassdoor)

  • Health Insurance
  • Vacation & Paid Time Off
  • Education Assistance Programs
  • Read more.

Work-life balance

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 two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs. Read more.

Culture & vibe

Visa is a place where everyone is accepted everywhere, that is what they want to be. By leveraging the diverse backgrounds and perspectives of their worldwide teams, Visa is a better place to work and a better business partner for their clients. They create an environment in which individual differences, experiences and capabilities are valued and contribute to their business success. Read more.

Take a look at this video - what and who is Visa? 

About you

Basic Qualifications:

  • Currently in the final year of an accredited Bachelor’s or Master's degree program
  • Available to join when the program commences in Sydney
  • Permanent authorisation to work in Australia is a precondition of employment as Visa will not sponsor applicants for work visas in connection with this program

Preferred qualifications:

  • Background in mathematics, statistics, computer science, engineering, science, or economics
  • Previous exposure to coding languages (one of R, MATLAB, Python, SQL)
  • Familiar with statistical models including gradient boosting machines (GBMs), generalised linear models (GLMs), clustering techniques (KNN / K-means), and principal components analysis (PCA)
  • Exceptional academic achievement
  • Excellent analytical abilities, intellectual curiosity, and interest in finding new ways to do things
  • Outstanding verbal and written communication skills
  • Professional maturity, strong work ethic and the ability to be flexible and adaptable to changing business needs
  • Demonstrated leadership capabilities in professional, academic, or volunteer environments
  • A global mindset and ability to work in a diverse workplace

How to apply

This role is currently closed. If you are interested in this role, simply click "Pre-Register" and Prosple will inform you once this position from Visa Australia is open again. 

Hiring criteria

You should have or be completing the following to apply for this opportunity.

Entry pathway
Degree or Certificate
Minimum Level of Study
Associate Degree or higher
Study Field
B
Accounting
Commerce
Finance
Business
Business Administration
Management
Economics
I
Computer Science (all other)
Data Science
Programming & Software Engineering

Work rights

The opportunity is available to applicants in any of the following categories.

country
eligibility

Australia

Australia

Australian Citizen

Australian Permanent Resident


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