Digital commerce is built on trust. At every point along the eCommerce journey, businesses must make a critical decision: Can I trust this customer? Answering this simple question accurately and instantly is powerful--it can accelerate revenue growth and strengthen a company's connection with its customers. Forter was founded on the insight that it's not about what is being purchased, nor where-- but who is behind the interaction. The Forter Decision Engine finds patterns across more than one billion identities in our dataset.

Forter is looking for a Data modeler to understand and translate business/analytical/research needs into data models supporting long-term solutions. Forter provides new-generation fraud prevention to meet the challenges faced by modern enterprise e-commerce. Only Forter provides fully automated, real-time Decision as a Service fraud prevention, with approve/decline decisions backed by a 100% chargeback guarantee. Behind the scenes, Forter's machine learning technology combines advanced cyber intelligence with behavioral and identity analysis to create a multi-layered fraud detection mechanism. Forter's unmatched performance and innovation are built on billions of events and dozens of terabytes of data coming from across the e-commerce lifecycle each day.

Forter is a fast-growing B2B company that empowers enterprise e-commerce by identifying and preventing fraud in real time using machine learning and statistical models. Our success has so far enabled us to achieve a total series F valuation of over $3 Billion, with investors including Tiger Global, Bessemer, Sequoia Capital, March Capital and Salesforce Ventures. We are looking for exceptional hands-on data science, machine learning and algorithms researchers to join our data science group in building well-crafted machine learning systems which are at the core of Forter's unique position to prevent online fraud. At Forter you will have the opportunity to analyze complex non-stationary data, innovate, acquire and demonstrate a wide range of skill and expertise in machine learning, while maintaining a focus on delivering systems to production and making an impact. If you possess strong analytical ability and the know-how to translate your ideas into reality, we would like to have the chance to talk to you.

It seems that the majority of AI solutions for payment processing are focused on fraud detection and prevention. Some companies claim to offer straight-through processing software as well. We'll get started with background information about AI in payment processing, and then we'll explore the vendor use cases in depth individually. The companies discussed in this report vary in their densities of AI talent, which is one of the three rules of thumb we use when determining whether or not a company is actually leveraging AI or using it more for marketing purposes. We look for companies with AI talent in their C-suites first and foremost, but perhaps equally important is the number of data scientists employed at the company.

Forter, a company that uses machine learning to detect and prevent fraud in online retail transactions, announced today that it has raised $50 million in a series D funding round led by March Capital Partners, bringing its total financing to $100 million. Salesforce Ventures joined the round, along with previous investors including Sequoia Capital and New Enterprise Associates (NEA). Global online retail sales amounted to more than $2 trillion in 2017, and this number is projected to reach more than $4.5 billion by 2021. But as online retail grows, so does online fraud. Account takeover attacks are on the rise, as are high-volume automated "bot" attacks and so-called policy attacks like coupon abuse.

Stripe, the startup that lets websites and mobile apps implement payment services through its API and a few lines of code, is today adding in another new feature as it continues to build out its platform with more tools. It is now going to help prevent fraud on Stripe transactions, through a new service called Radar. Radar is being rolled out globally as part of Stripe's primary payments service, meaning companies that use Stripe's API for payments do not need to pay extra or do anything in particular to turn it on. That may change down the line if and when Stripe -- which has now raised around $300 million and is valued at around $5 billion -- begins to add in more features and decides to monetise the service separately. "This is an area of active development and there is a long list of things we want to do," said John Collison, Stripe's co-founder and president, in an interview. "We haven't ruled out [launching it as a separate service] but want to see how people use it and what works and what doesn't first."