Senior Risk Analyst

Signifyd; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

A leader in fraud prevention technology is seeking a Sr. Risk Analyst to join their Risk Intelligence team. The role involves analyzing fraud trends, developing prevention strategies, and collaborating across teams to enhance model performance. Candidates should have over 5 years of experience in the e-commerce or payments sector. The company offers a remote working environment and a variety of benefits, including unlimited time off and health insurance.

Benefits

Discretionary Time Off Policy (Unlimited)

401K Match

Stock Options

Annual Performance Bonus or Commissions

Paid Parental Leave (12 weeks)

On-Demand Therapy

Dedicated learning budget

Health Insurance

Vision Insurance

Flexible Spending Account

Short Term and Long Term Disability Insurance

Life Insurance

Company Social Events

Signifyd Swag

Qualifications

• 5+ years experience in e-commerce or risk-related industry.
• Strong understanding of ecommerce payments landscape.
• Experience with database languages and BI/reporting tools.

Responsibilities

• Conduct proactive risk analysis on large datasets.
• Develop and implement new fraud prevention strategies.
• Support Risk Operations with process improvements.

Skills

Risk Analysis

Fraud Prevention

Data Analysis

Communication Skills

Critical Thinking

Tools

SQL

Tableau

Looker

Job description

Overview

At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy. Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower fearless commerce by helping online retailers provide superior customer experiences and eliminate fraud.

Department: Risk Intelligence

The Risk Intelligence organization proactively detects and continuously monitors fraud activities to mitigate immediate financial losses and protect portfolio health. This team partners with Data Science to improve machine learning model performance by providing feedback on model outputs and identifying areas for enhancement using real-world fraud patterns and merchant feedback. We enhance detection mechanisms to reduce friction for merchants and their customers while driving revenue. We build trust through responsiveness and expertise, fostering stronger merchant relationships and demonstrating the value of fraud prevention solutions in driving revenue growth and reducing losses.

Role

As the Sr. Risk Analyst, you will join a team of talented fraud experts who play a pivotal role in fighting fraud and helping our customers succeed. This role sits at the intersection of Signifyd\'s data, technology, processes, and business contracts. You will contribute to advancing payment risk decisioning and enjoy a collaborative, close-knit team environment working on multiple projects.

We quantify and control the risks introduced by bad actors, turning unpredictability into manageable outcomes.

Responsibilities

• Risk Analysis & Solutioning: Conduct proactive risk analysis on large datasets to identify and extrapolate fraud trends, proposing refined and effective solutions.
• Fraud Strategy Development: Identify fraud trends, document findings, communicate insights, and lead the development and implementation of new fraud prevention strategies.
• Operational Improvement: Support Risk Operations through identifying and implementing process and tool improvements.
• Merchant Engagement: Lead fraud and tool insights conversations with potential and existing merchants to assist internal teams.
• Machine Learning Collaboration: Identify ideas for new machine learning features or rules, collaborating closely with other teams to improve model performance.
• Actionable Insights & Reporting: Translate analysis into actionable insights for fraud mitigation initiatives, ad-hoc reports, and presentations.
• Project & Ad-Hoc Support: Assist in special projects and ad-hoc assignments as requested.
• Relationship Management: Build lasting relationships across internal teams and with external partners, fostering a collaborative environment.
• Ownership: Take ownership of tasks and work independently to achieve objectives within a remote environment.

Required qualifications

• 5+ years of experience in e-commerce, payments or risk-related industry with traditional and non-traditional payment methods.
• Strong understanding of the ecommerce payments landscape.
• Strong analytical skills and ability to utilize data to target improvements and solve problems.
• Experience with database languages (e.g., SQL) and BI/reporting tools (Looker, Tableau, Splunk, etc.).
• Strong critical thinking skills with advanced judgment capability.
• Ability to manage multiple assignments while working independently.
• Strong communication skills with internal and external stakeholders.
• Flexibility to work weekends and holidays.
• Experience in large-scale data analysis, tools, and processes (e.g., Python, R).
• Experience with translating fraud trends into rule logic and/or feature suggestions.

Benefits

• Discretionary Time Off Policy (Unlimited)
• 401K Match
• Stock Options
• Annual Performance Bonus or Commissions
• Paid Parental Leave (12 weeks)
• On-Demand Therapy for all employees & their dependents
• Dedicated learning budget through Learnerbly
• Health Insurance
• Vision Insurance
• Flexible Spending Account (FSA)
• Short Term and Long Term Disability Insurance
• Life Insurance
• Company Social Events
• Signifyd Swag

EEO & Hiring accessibility

We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. Signifyd is an equal opportunity employer. We celebrate diversity and are fully committed to creating an inclusive, safe environment for all candidates and employees. Candidate demographic data is collected in the aggregate to assess progress on diversity and inclusion goals. By answering these questions, you help Signifyd become a more inclusive place for all of us to do our best work.

In the United States, each work location is assigned a specific pay tier, which determines the salary range for a given position. The starting base salary for the selected candidate will be based on job-related skills, experience, qualifications, geographic location, and current market conditions.