About the role

About Us

Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.

We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day.

About the Role

We are looking for a Fraud Data Analyst to work directly with our customers on our Merchant Health Team. You will be part of a growing analytics team that is responsible for Riskified’s customers’ performance and online fraud prevention using quick problem-solving skills in real time. You will own a major part in researching and investigating new online-fraud trends and stand at the forefront of Riskified’s work. You’ll leverage your data analysis skills and knowledge of our product to provide meaningful insights directly to our customers.

What You'll Be Doing

Research and explore data, using high level analytical tools (R and SQL) in a high level technical environment
Master the online fraud prevention domain through hands-on analysis of live data
Define and execute end-to-end technical solutions for fraud-prevention problems
Share deep analysis conclusions and sophisticated technical methods in a clear manner to both technical and non-technical audiences
Work with account managers, meet directly with clients, and deliver analytical insights to business questions
Collaborate with various teams within Riskified to enhance processes and meet customers’ needs

Qualifications

Fluent (written and verbal) in English and Portuguese required
2-3+ years of relevant strong analytical experience with complex data
2+ years of hands-on work experience with SQL (must be proficient)
2+ years of hands-on work experience with R / Python (must be proficient)
2+ years in fraud analytics a plus
Experienced problem solver and critical thinker
Ability to work simultaneously on different tasks and lead multiple projects
May require participation in a bi-monthly on-call rotation, including occasional evenings and weekends

*Please submit your CV/Resume in English

In the News

Reuters: General Atlantic-backed Riskified valued at $4.3 bln in NYSE debut

Fortune Magazine: Riskified named Best Workplaces in New York for 2022

The Muse: Q&A with Sales Enablement Manager Benedikt Parstorfer

Globes: Riskified is among Israel’s fastest growing companies

TechCrunch: Riskified Prevents Fraud on Your Favorite E-commerce Site

CTech: Riskified’s VP HR on Post-COVID Flexible Work Routines

Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.

Skills & Tags

python go ai data analytics product sales

Aplyr's read

Riskified is a leader in e-commerce fraud prevention, attracting talent in data science and engineering to innovate and protect online transactions.
Synthesized from recent postings & public sources

What's promising

•Riskified's technology significantly reduces fraud rates for e-commerce businesses, enhancing client trust.
•The company has a strong focus on data-driven decision-making, employing numerous data scientists and analysts.
•Riskified's global presence offers diverse career opportunities across multiple regions and functions.

What to watch

•The competitive landscape in fraud prevention is intense, with many companies vying for market share.
•Riskified's growth may be impacted by evolving regulatory environments in different countries.
•The company faces challenges in maintaining its technology edge as fraud tactics become more sophisticated.

Why Riskified

•Riskified uses machine learning to analyze millions of transactions, offering real-time fraud detection.
•The company provides a chargeback guarantee, assuming financial liability for approved transactions.
•Riskified's platform integrates seamlessly with major e-commerce platforms, enhancing its client appeal.

Aplyr’s read is generated by AI from public sources. Was it useful?