Data Scientist – Payment Systems Risk

Data Scientist – Payment Systems Risk

  • Anywhere

Company Name:-
Visa

Job Location:-
Foster City, CA

Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionCompany Description
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 analog 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.

You’re an Individual.

We’re the team for you.

Together, let’s transform the way the world pays.

Job Description
The Payment Systems Risk team within Visa Data Product is responsible for building critical risk and fraud prevention applications and services at VISA.

This includes idea generation, architecture, design, development, and testing of products, applications, and services that provide Visa clients with solutions to detect, prevent, and mitigate risk for Visa and Visa client payment systems.

The team closely collaborates with other analytic stakeholders to understand the business problem in order to determine the most appropriate analytic approach that provides meaningful results to customers.

Responsibilities include delivering projects on time and within scope with an in-depth knowledge of big data and cutting edge data mining techniques as well as the use of predictive, classification, machine learning and alternate analytic algorithms for m

FOR MORE DETAILS CLICK BELOW LINK

Click Here For More Details

You may also like...

Leave a Reply

Your email address will not be published. Required fields are marked *

nineteen − two =

Ads Blocker Image Powered by Code Help Pro

Quality articles need supporters. Will you be one?

You currently have an Ad Blocker on.

Please support FINNSTATS.COM by disabling these ads blocker.

Powered By
Best Wordpress Adblock Detecting Plugin | CHP Adblock