Full-Time

Data Integration Team Lead

Updated on 11/20/2024

Riskified

Riskified

501-1,000 employees

eCommerce fraud prevention and revenue protection

Consumer Software
Fintech
AI & Machine Learning

Compensation Overview

$160k - $190kAnnually

+ Bonus + Stock-based awards

Senior

New York, NY, USA

Hybrid work model requires in-office presence.

Category
Data Management
Data & Analytics
Required Skills
Python
Data Science
R
SQL
Requirements
  • 4+ years of experience as leader of data integrations / data solutions / software engineering teams with focus on data management
  • 6+ years of experience in professional services / software / data engineering roles
  • 3+ years of hands-on experience with SQL, R / Python or other data engineering programming languages
  • Proven ability to handle multiple projects with competing priorities
  • Experience working in a high pressure environment with demanding stakeholders is a major advantage
  • Experience working with data lakes and data warehouses
  • Experience working with SaaS solutions and API
  • An incredibly strong “can do” and continuous learning attitude
  • Collaborative and inclusive team player with excellent written and verbal communication skills
  • Understanding of Machine Learning and Data Science is a plus
  • E-commerce or Payments industry experience is an advantage
Responsibilities
  • Lead a team of 6-7 Data Integration Engineers
  • Train and coach the team to ensure highest levels of technical excellence and customer experience
  • Take part in and manage multiple projects
  • Provide direct support to strategic clients, as needed and serve as an escalation point within the Integrations department
  • Act as the Data Integration Architect and advisor for our largest and strategic clients
  • Identify tools, technologies and processes to solve problems and improve efficiencies
  • Take a significant role in planning and designing integration, onboarding and API ecosystem in the organization

Riskified focuses on eCommerce revenue protection and fraud prevention for online merchants. It uses advanced machine learning to quickly assess transaction legitimacy, helping merchants filter out fraud before it affects their revenue. One of its key features, Dynamic Checkout, customizes the checkout experience based on customer risk profiles, allowing legitimate customers to verify their identity easily. The goal is to help merchants increase revenue and improve customer satisfaction by minimizing fraud and optimizing the checkout process.

Company Stage

IPO

Total Funding

$222.5M

Headquarters

New York City, New York

Founded

2013

Growth & Insights
Headcount

6 month growth

-1%

1 year growth

-4%

2 year growth

-6%
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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.

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