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Full-Time

Data Integration Engineer

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

$110k - $140kAnnually

+ Bonus + Stock-based awards

Mid

New York, NY, USA

Category
Data Management
Data Engineering
Data & Analytics
Required Skills
Python
Sales
NoSQL
Data Science
R
Apache Spark
SQL
Data Analysis
Requirements
  • 3+ years of experience in a data-centric industry role (Analytics, Data Engineering, ETL, DBA, Consulting, etc.)
  • 2+ years with SQL or NoSQL databases
  • 2+ years experience with data wrangling (R, Python for data processing)
  • 2+ years optimizing technical processes
  • Strong analytical skills and attention to detail
  • Strong verbal and written communication skills
Responsibilities
  • Perform due diligence on merchant websites, business models and data flows
  • Generate tailored data templates (JSON, CSV) to help guide merchant developers / data teams in building high-quality online (API) and offline (file transfer) integrations
  • Write queries and scripts (R, Python, SQL, Spark, Databricks) to:
  • Test, validate, and detect data issues in API calls in sandbox and production environments
  • Test, validate, transform, and upload large historical data files to Riskified APIs
  • Maintain / manage merchant data configuration layer of Riskified’s platform (automated data tagging, transformation, filtering, etc)
  • Combine technical, business and analytical objectives to come up with tailored solutions for onboarding merchants
  • Ad hoc data wrangling and sanitization
  • Monitor automated data alerts - prioritize, track, and communicate merchant data issues / irregularities with internal and external stakeholders
  • Work closely with analysts, research and data science teams to accommodate changes in industry data
  • Identify, research, and offer system-wide solutions for common data issues
  • Work closely with client-facing teams to engage customers regarding their data integrations
  • Support R&D, Product Management, Data Science, Integrations Engineering, Account Management, and Sales as a subject matter expert of Riskified’s product, technology and merchants
  • Contribute to advancing the team’s tooling, processes, and documentation

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.