Data Analyst, Riskified

$100-125k

All full-time regular employees receive a bonus target and are eligible to receive stock-based awards

SQL
Python
R
Junior and Mid level
New York

More information about location

2 days a week in office

Riskified

Fraud management software for eCommerce

Open for applications

Riskified

Fraud management software for eCommerce

501-1000 employees

B2BInternal toolsMachine LearningeCommerceFraud

Open for applications

$100-125k

All full-time regular employees receive a bonus target and are eligible to receive stock-based awards

SQL
Python
R
Junior and Mid level
New York

More information about location

2 days a week in office

501-1000 employees

B2BInternal toolsMachine LearningeCommerceFraud

Company mission

To empower businesses to realize the full potential of eCommerce by making it safe, accessible and frictionless.

Role

Who you are

  • 2+ years of hands-on experience as a data analyst in the tech industry
  • Proven expertise in complex SQL queries and analysis tools such as R and Python
  • Strong analytical skills and experience analyzing complex data
  • Bachelor's degree in a quantitative field (e.g. Mathematics, Statistics, CS, Economics, Natural Sciences)
  • Problem-solver with critical thinking skills
  • Ability to work simultaneously on different tasks and lead multiple projects
  • Great written and verbal communication skills in English
  • Self Driven, highly motivated and independent

What the job involves

  • You will be part of a growing operational team of product owners that is responsible for up and coming products analytically, monitoring Riskified’s customers’ performance, quick problem-solving and online fraud prevention in real-time
  • You will take a major part in research, product development, product design and creating automated analytical solutions for both internal and external use cases in a super-dynamic environment, and therefore stand at the forefront of Riskified’s work
  • You’ll be leveraging your analytical skills and knowledge of our product to provide meaningful insights to our Merchants, Product Managers, Data Science and Dev teams
  • Conduct an in-depth analysis of the most productive ways our customers can utilize Riskified’s solution, including identifying upsell opportunities
  • Provide strategic analysis and critical thinking as we plan long-term expansion
  • Research and explore data, using high-level analytical tools in a high-level technical environment
  • Share deep analysis conclusions and sophisticated technical methods in a clear manner to both technical and non-technical audiences
  • Cooperate with various teams within Riskified (Account managers, Product Managers and Account executives) to enhance processes and meet customers’ needs
  • Master the online fraud prevention domain through hands-on analysis of live data
  • Working with both local and global (primarily Tel Aviv-based) team members

Our take

Digital fraud is a huge problem in E-Commerce, and identifying insecure transactions is becoming increasingly difficult. A notable example is in the airline industry, with ticket-orders being declined due to false identification of a fraudulent transaction.

Riskified builds digital tools that use machine learning to recognize when a transaction is safe and secure based on previously analyzed transactions. Competitors in the fraud-detection industry are plentiful, but Riskified are so confident in their algorithms’ fraud-detection capabilities that they offer a 100% cashback guarantee. With luxury-brand clients such as Canada Goose, Wayfair and Prada, this promise presents a serious competitive edge.

The company has continued to make new partnerships and develop new capabilities for its platform. Its scalable fraud prevention capabilities have remained a highly-attractive option for companies around the globe. With the release of 'Identity Explore" - a high-resolution visualization identity machine - and its continued global expansion, Riskified is on an impressive growth path.

Steph headshot

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

Few candidates hear
back within 2 weeks

1% employee growth in 12 months

Company

Funding (last 2 of 5 rounds)

Nov 2019

$165m

SERIES E

Jun 2017

$33m

SERIES C

Total funding: $228.7m

Company benefits

  • Fully-covered medical, dental, and vision insurance from your first day
  • Equity for all employees, 401(k) + matching, commuter benefits
  • Catered lunch, fully-stocked kitchen, team events, happy hours, birthday celebrations
  • Yoga, pilates, soccer league, wellness classes
  • Wide-ranging opportunities to volunteer and make an impact in local communities
  • Commitment to your professional development with global onboarding, sales bootcamp, skills-based courses, full access to Udemy, lunch & learns
  • Awesome Riskified gifts and swag!

Company HQ

NoMad, New York, NY

Leadership

Was as a researcher in the Israeli Defense Forces before moving to the Fraud Science Corporation as a fraud analyst in 2007. The company was acquired by PayPal in 2008, and Eido joined PayPal's risk department, later moving to its automation department. Was recruited by BillGuard and worked in the analytics department from September 2011 to November 2012. Founded Riskified in 2012.

Worked as a researcher for Nokia alongside his studies. Was Head of Research Technologies at Kinetic Global Markets from 2009 to 2011. Lectured at Bezalel Academy of Art and Design. Joined BillGuard as an Algorithm Engineer in 2011, and then co-founded Riskified in 2012.


People progressing

First joined in 2016 as an Account Manager. Promoted to Head of Account Management, Americas in 2018. Made Head of Operations in China in 2020 and has since been promoted to VP Account Management, APAC in January 2023.

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