Sardine Logo

Sardine

Senior Risk Data Analyst

Job Posted 5 Days Ago Reposted 5 Days Ago
Remote
3 Locations
150K-170K Annually
Senior level
Remote
3 Locations
150K-170K Annually
Senior level
The Senior Risk Data Analyst develops metrics, conducts analyses for fraud reduction, builds ML models, and collaborates cross-functionally to provide data-driven solutions.
The summary above was generated by AI

Who we are:

We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures.

Our culture:

  • We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we maintain a remote-first work culture. #WorkFromAnywhere

  • We hire talented, self-motivated individuals with extreme ownership and high growth orientation.

  • We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.

Location:

  • Remote - United States or Canada

  • From Home / Beach / Mountain / Cafe / Anywhere!

  • We are a remote-first company with a globally distributed team. You can find your productive zone and work from there.

About the role:

We’re looking for a data-driven professional to help us measure, understand, and improve the performance of our risk strategies. In this role, you’ll analyze complex datasets, design metrics, build dashboards, and collaborate closely with stakeholders across the business to drive decision-making and optimize outcomes.

What you’ll be doing:

  • Develop and track metrics to measure and monitor the performance of our risk products and the effectiveness of risk management strategies.

  • Conduct in-depth analyses to uncover valuable insights contributing to fraud reduction and higher approval rates for our clients.

  • Serve as a client-facing partner by translating complex data insights into clear, actionable recommendations 

  • Build and experiment with ML models to identify fraudulent patterns and enhance fraud detection capabilities.

  • Work with engineers on data instrumentation.

  • Create and automate self-serve dashboards leveraging BI tools.

  • Collaborate with cross-functional teams (Business, Product, and Engineering) to understand and translate business requirements into actionable data-driven solutions.

  • Collaborate on implementing risk mitigation solutions, ensuring alignment with business goals.

What you’ll need:

  • Strong technical background with 7+ years of experience demonstrating high impact in a data-focused role such as product analytics, business analytics, or data science

  • Prior experience in the Fraud/Risk domain

  • Hands-on experience in SQL and Python

  • Expertise in BI tools such as Tableau/Sigma/Metabase

  • Exposure to building ML models to address business challenges

  • Ability to structure and analyze data, leveraging techniques like EDA and cohort analysis, transform them into understandable and actionable recommendations, and then communicate them effectively across the organization and clients.

  • Proficiency in defining, utilizing, and communicating performance metrics

  • Creative problem-solving, strong critical thinking, and a getting-things-done approach


Compensation: Base pay range of $150K - $170K + equity with tremendous upside potential + Attractive benefits

The compensation offered for this role will depend on various factors, including the candidate's location, qualifications, work history, and interview performance, and may differ from the stated range.

Benefits we offer:

  • Generous compensation in cash and equity

  • Early exercise for all options, including pre-vested

  • Work from anywhere: Remote-first Culture

  • Flexible paid time off, Year-end break, Self care days off

  • Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific

  • 4% matching in 401k / RRSP - US and Canada specific

  • MacBook Pro delivered to your door

  • One-time stipend to set up a home office — desk, chair, screen, etc.

  • Monthly meal stipend

  • Monthly social meet-up stipend

  • Annual health and wellness stipend

  • Annual Learning stipend

  • Unlimited access to an expert financial advisory

Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you.

To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our Applicant and Worker Privacy Notice.

Top Skills

Bi Tools Such As Tableau
Machine Learning
Metabase
Python
Sigma
SQL

Similar Jobs

12 Days Ago
Remote
4 Locations
85K-115K Annually
Mid level
85K-115K Annually
Mid level
Cloud • Legal Tech • Software
The Senior Risk Data Analyst will lead analytics and risk management initiatives, enhance operational processes, and safeguard against financial crime while collaborating with teams.
Top Skills: Data AnalyticsData ScienceFraud Prevention ToolsSQL
19 Hours Ago
Easy Apply
Remote
Ontario, ON, CAN
Easy Apply
Mid level
Mid level
eCommerce • Information Technology • On-Demand • Professional Services • Software
The Senior Data Engineer will design and maintain marketing datasets, collaborate with cross-functional teams, and drive data quality in marketing initiatives.
Top Skills: Apache AirflowApache KafkaBigQueryDbtETLPythonSQL
19 Hours Ago
Remote
Hybrid
9 Locations
95K-131K Annually
Mid level
95K-131K Annually
Mid level
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
The Manager will spearhead marketing analytics initiatives, utilizing data-driven strategies to enhance brand growth through collaboration and measurement of media effectiveness.
Top Skills: Data AnalysisData VisualizationMarketing Mix ModellingMulti-Touch AttributionRegression Modelling

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account