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Full-Time

Data Analyst

Confirmed live in the last 24 hours

Riskified

Riskified

501-1,000 employees

eCommerce fraud prevention and revenue protection

Data & Analytics
Consulting
Fintech
Cybersecurity
AI & Machine Learning

Compensation Overview

$100k - $125kAnnually

+ Bonus + Stock-based awards

Junior, Mid

New York, NY, USA

Category
Data Analysis
Data & Analytics
Required Skills
Python
R
SQL
Data Analysis
Requirements
  • Candidates must be eligible to work in the U.S. without any Visa sponsorship (including OPTs)
  • 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
Responsibilities
  • 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

Riskified focuses on eCommerce revenue protection and fraud prevention for online merchants. It uses machine learning to quickly determine the legitimacy of transactions, helping merchants filter out fraud and improve payment authorization rates. A key feature is Dynamic Checkout, which customizes the checkout experience based on customer risk profiles, ensuring legitimate customers face fewer hurdles. The company's goal is to help merchants increase revenue and enhance customer satisfaction by minimizing fraud and optimizing the checkout process.

Company Stage

IPO

Total Funding

$564M

Headquarters

New York City, New York

Founded

2013

Growth & Insights
Headcount

6 month growth

-2%

1 year growth

-4%

2 year growth

-5%
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Simplify's Take

What believers are saying

  • Being named to CNBC's 2024 List of the World's Top Fintech Companies highlights Riskified's industry leadership and growth potential.
  • Riskified's collaboration with industry leaders and its focus on next-gen fraud strategies can drive customer loyalty and trust, enhancing long-term business relationships.
  • The company's AI-powered automation in chargeback management can significantly improve revenue recovery and operational efficiency for merchants.

What critics are saying

  • The rising rates of chargebacks and the complexity of managing them could strain Riskified's resources and impact profitability.
  • Dependence on AI and machine learning models means that any flaws or biases in these systems could lead to significant financial and reputational damage.

What makes Riskified unique

  • Riskified's use of advanced machine learning models for instant transaction legitimacy decisions sets it apart from traditional fraud prevention methods.
  • The Dynamic Checkout feature, which adjusts the checkout experience based on the customer's risk profile, offers a unique blend of security and seamless user experience.
  • Riskified's comprehensive suite of products, including pre-authorization decisions and chargeback management, provides a holistic approach to eCommerce revenue protection.