Riskified is a leading technology company dedicated to empowering online businesses to grow with confidence. With its suite of tools, every merchant can increase their revenue by eliminating the risk and friction associated with online payments.
Riskified utilizes cutting-edge machine learning technology to quickly and accurately identify which payments are real, and which are fraudulent. This allows merchants to partake in important revenue opportunities and increases the customer experience. In addition, Riskified offers comprehensive customer support for all transactions, and efficient customer onboarding, so merchants can offer their customers a seamless experience without sacrificing their own security.
Technology underpins everything that Riskified does. The teams are composed of veteran machine learning engineers and innovative product developers, who work together to keep the product on the cutting edge. Riskified invests heavily in research, data science, and product development. Our proprietary machine learning models analyze billions of data points to create customer profiles, verify customer identities and analyze customer behaviours. Our engineers put into action the most cutting-edge algorithms, artificial intelligence and deep learning techniques to ensure that all payments are secure and seamless.
The Riskified Technology Team is always looking for talented and passionate professionals who can contribute to the company’s mission with their skills in programming, coding, application development, and IT. Through continuous learning and innovation the team strives to bring the best experience to their users.
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Data Scientist
Average Work Hours (weekly unless noted): 40-50
Average Salary (yearly in dollars unless noted): 96000
Description: The Data Scientist will be responsible for developing and maintaining machine learning models which can be applied to customer data in order to help identify fraud. You will be expected to create innovative algorithms and systems in order to accurately identify and reduce the risk arising from customer purchases. You should have a strong analytical background, as well as in-depth knowledge of machine learning, predictive analytics, and programming.
Qualifications / Requirements: PhD Degree in Computer Science, Statistics, Mathematics, or related field, experience with popular machine learning algorithms and systems, knowledge of programming in Python and C++, ability to analyse complex datasets
I love working at Riskified and the amount of respect, passion and kindness the team shows for each other. The creative workspaces and availability of resources for research and development is unparalleled. The company truly gives you the freedom to explore and try new ideas and even encourages innovation. I'm proud to work here and would highly recommend it.
Jane H.
Review Rating:
4.9/5
4.9
I am a Programmer and have been working at Riskified for a few months now. The engineering culture is amazing and supportive and truly encourages a positive work-life balance. The challenging tasks I get to work on everyday makes the job extremely rewarding and enjoyable. I never feel overwhelmed and I'm thankful for the fantastic working environment here.
Ryan D.
Review Rating:
4.7/5
4.7
My experience so far with Riskified has been nothing short of amazing. I work in the Design department and I'm thoroughly impressed with how quickly the teams collaborate and come up with creative solutions. The company culture is focused on growth, learning, and supporting each other which makes for a great atmosphere where everyone is looking out for each other.
Alison P.
Review Rating:
4.9/5
4.9
As a Programmer I'm finding Riskified to be a great place to learn and grow professionally. You are encouraged to take initiative and try new things, which helps to further hone your skills. The atmosphere here is welcoming and the company emphasizes collaboration and fostering a constructive work environment.
Hannah K.
Review Rating:
4.5/5
4.5
As an IT specialist, I'm enjoying my time at Riskified. The team is incredibly supportive and professional, and they have maintained a positive and friendly atmosphere in the office. Not only do they provide a great work-life balance, but they also actively work to create a workplace that is accommodating and productive.
Frequently Asked Questions
What skills are necessary to work at Riskified?
Knowledge of coding languages such as Ruby, JavaScript, Python and knowledge of the Riskified platform.
Which job roles are available at Riskified?
Riskified offers roles in Software Development, Product Management, Data Science, Data Engineering, Design and Customer Success.
What kind of training programs does Riskified offer?
Riskified provides extensive onboarding programs for new hires as well as opportunities for learning and development.
What is Riskified’s work culture like?
Riskified’s work culture is highly collaborative and values inclusion. The company fosters a positive working environment and encourages creativity and innovation.
Does Riskified offer remote working opportunities?
Yes, Riskified offers remote working opportunities for some of its positions.
Locations: Tel Aviv, London, New York, Berlin, Paris
Career Paths: Data Scientist, Software Engineer, DevOps Engineer, Security Engineer, Quality Assurance Engineer, Product Manager, Technical Support Engineer, Business Intelligence Analyst
I love working at Riskified and the amount of respect, passion and kindness the team shows for each other. The creative workspaces and availability of resources for research and development is unparalleled. The company truly gives you the freedom to explore and try new ideas and even encourages innovation. I'm proud to work here and would highly recommend it.
