[Remote] Senior Risk Analyst at Signifyd

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, BiotechnologyIndustries

Requirements

Candidates must have 5+ years of experience in e-commerce, payments, or a risk-related industry, with a strong understanding of the e-commerce payments landscape. Proficiency in database languages like SQL and BI/reporting tools such as Looker, Tableau, or Splunk is required, along with strong analytical, critical thinking, and judgment capabilities. The role also demands the ability to manage multiple assignments independently, strong communication skills for stakeholder engagement, and flexibility to work weekends and holidays. Experience with large-scale data analysis tools like Python or R, and translating fraud trends into rule logic or feature suggestions are desirable.

Responsibilities

The Senior Risk Analyst will conduct proactive risk analysis on large datasets to identify fraud trends and propose solutions. They will lead the development and implementation of new fraud prevention strategies based on identified trends and communicate findings to stakeholders. The role involves supporting Risk Operations by improving processes and tools, engaging with merchants on fraud and tool insights, and collaborating with teams to enhance machine learning model performance by suggesting new features or rules. Additionally, responsibilities include translating analysis into actionable insights for reports and presentations, assisting with special projects, managing relationships with internal and external partners, and taking ownership of tasks to achieve objectives independently.

Skills

Risk Analysis

Fraud Detection

Machine Learning

Data Analysis

Fraud Prevention

Operational Improvement

Problem Solving

Signifyd

Fraud protection for online retailers

About Signifyd

Signifyd specializes in fraud protection for online retailers, helping them detect and prevent fraudulent activities. The company provides a platform that uses machine learning and artificial intelligence to analyze transactions in real-time, identifying potential fraud. This service allows retailers to reduce chargebacks and approve more legitimate orders, ultimately increasing their revenue. Signifyd differentiates itself by offering a financial guarantee on approved transactions, meaning they will cover costs if a transaction they approve is later found to be fraudulent. This added security builds trust with clients. Operating globally, Signifyd ensures transparency with real-time data on system performance, allowing retailers to focus on their core business without the constant worry of fraud.

Palo Alto, CaliforniaHeadquarters

2011Year Founded

$399.8MTotal Funding

SERIES_ECompany Stage

Cybersecurity, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Flexible Spending Account/Flexible Spending Account

Unlimited Paid Time Off

401(k) Company Match

Stock Options

Annual Performance Bonus

Paid Parental Leave

On-Demand Therapy for all employees & their dependents

Dedicated learning budget through Learnerbly

Company Social Events

Risks

Rise of 'friendly fraud' challenges Signifyd's financial guarantee model.

'Buy now, pay later' services introduce new fraud types that may evade current detection.

Flexible return policies in Europe could increase return fraud, straining existing strategies.

Differentiation

Signifyd offers a financial guarantee on approved transactions, covering potential fraud costs.

The company uses advanced AI and machine learning for real-time fraud detection.

Signifyd's global reach allows it to serve a diverse range of e-commerce clients.

Upsides

Partnership with Adobe Commerce enhances transaction intelligence and fraud protection capabilities.

$100 million Series D funding supports European market expansion and operational scaling.

Integration with Celerant shifts liability, attracting retailers seeking comprehensive fraud solutions.

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