Data Integrations Engineer, Riskified
$125-139k
+ Bonus target and are eligible to receive stock-based awards
2 days a week in office
Fraud prevention and chargeback fraud protection
Be an early applicant
Fraud prevention and chargeback fraud protection
501-1000 employees
Be an early applicant
$125-139k
+ Bonus target and are eligible to receive stock-based awards
2 days a week in office
501-1000 employees
Company mission
To empower businesses to unleash eCommerce growth by outsmarting risk.
Role
Who you are
- 4+ years of experience in a data-centric industry role (Analytics, Data Engineering, ETL, DBA, Consulting, etc.)
- Solid expertise with SQL or NoSQL databases
- Experience with data wrangling (Python, R for data processing)
- Experience optimizing technical processes
- Strong analytical skills and attention to detail
- Strong verbal and written communication skills
- Advantage: experience in designing, constructing, and maintaining efficient data pipelines using DBT or Python
What the job involves
- As a Data Integration Engineer at Riskified, you will use technical skills, analytical insights, and a business perspective to ensure we have the most accurate and complete data from each client to feed our data science models
- You will be responsible for helping new and existing customers ensure they are receiving the best performance possible and leading the charge in processing the data of the largest eCommerce merchants in the world
- Riskified’s clients come from many different sizes and industries and use different technical platforms
- Each has unique data concerns, and order flows must be assessed uniquely
- Our team helps scope, implement, validate, and monitor these data integrations from both a technical and business perspective
- 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
- 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 using Python, SQL, Spark, Databricks, or R to test, validate, and detect data issues in API calls within both sandbox and production environments. Additionally, transform and upload large historical data files to Riskified APIs
- 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
Our take
Digital fraud is a huge problem in eCommerce, 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 is so confident in its algorithms’ fraud-detection capabilities that it offers 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
Company Specialist at Welcome to the Jungle
Insights
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
- Healthcare: Medical, dental, and vision insurance from your first day.
- Equity: For all employees.
- Financial benefits: 401k + matching with immediate vesting, Keren Hishtalmut + pension, commuter and parking benefits.
- Professional development: Global onboarding, role-based development, skills-based courses, company learning, wide-ranging volunteering opportunities.
- Snacks and more: Fully stocked kitchens, catered lunch, lunch stipend, happy hours.
- Celebrations and activities: Team events, yoga, pilates, soccer, basketball, wellness classes
Company HQ
NoMad, New York, NY
Leadership
Eido Gal
(Co-Founder & CEO)Eido was 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. He was then recruited by BillGuard and worked in the analytics department until he founded Riskified in 2012.
Assaf Feldman
(Co-Founder & CTO)Assaf worked as a Researcher for Nokia alongside his studies. He then became the Head of Research Technologies at Kinetic Global Markets. Then Lectured at Bezalel Academy of Art and Design before joining BillGuard as an Algorithm Engineer in 2011, and then co-founded Riskified in 2012.
Aglika D.
(CFO)Aglika joined Riskified in 2014 as a VP of Finance, moving into the role of CFO in 2015. Previously, she spent 5 years at New York University in various FP&A roles.
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