
51 - 200 employees
Founded 2020
🔒 Cybersecurity
📋 Compliance
💳 Fintech
Cybersecurity • Compliance • Fintech
Sardine is a cutting-edge platform focused on fraud prevention and compliance. The company offers a behavior-based system for fraud detection, identity verification, and transaction monitoring that helps leading banks, online retailers, and fintechs protect themselves from scams and financial crime. Sardine's technology integrates advanced behavioral biometrics and device intelligence to combat identity fraud, payment fraud, and account takeovers. The platform also streamlines compliance checks such as KYC (Know Your Customer) and AML (Anti-Money Laundering) transaction monitoring. Sardine's comprehensive solution empowers its clients to automate risk decisioning, identify high-risk users early, and manage fraud across the customer journey effectively.
🕒 April 30
🇬🇧 United Kingdom – Remote
💵 £85k - £135k / year
⏰ Full Time
🟠 Senior
🔴 Lead
📊 Data Scientist
🇬🇧 UK Skilled Worker Visa Sponsor
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51 - 200 employees
Founded 2020
🔒 Cybersecurity
📋 Compliance
💳 Fintech
Cybersecurity • Compliance • Fintech
Sardine is a cutting-edge platform focused on fraud prevention and compliance. The company offers a behavior-based system for fraud detection, identity verification, and transaction monitoring that helps leading banks, online retailers, and fintechs protect themselves from scams and financial crime. Sardine's technology integrates advanced behavioral biometrics and device intelligence to combat identity fraud, payment fraud, and account takeovers. The platform also streamlines compliance checks such as KYC (Know Your Customer) and AML (Anti-Money Laundering) transaction monitoring. Sardine's comprehensive solution empowers its clients to automate risk decisioning, identify high-risk users early, and manage fraud across the customer journey effectively.
• Champion a data-first approach across internal teams and client engagements, promoting clarity and impact • Build and deploy machine learning models to prevent fraud across diverse fintech use cases • Use data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experience • Work directly with clients to understand challenges and deliver high-impact, data-driven solutions • Evolve our risk metrics, the supporting datasets, and how we measure the causal impact of initiatives • Collaborate with engineering to scale models into production and optimize performance
• 7+ years of experience in data science or quantitative modeling, ideally in risk or fraud contexts • Advanced degree in a quantitative field (Mathematics, Statistics, Computer Science, Engineering, Economics, etc.) • Strong working knowledge of Python, R, Spark, SQL, or equivalent • Sharp critical thinking and creative problem-solving skills with a bias toward action • Proven ability to explain complex technical findings to non-technical stakeholders and clients
• Generous compensation in cash and equity • Early exercise for all options, including pre-vested • Work from anywhere: Remote-first Culture • Flexible paid time off and Year-end break • 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
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