Senior Fraud Risk Data Scientist (Remote)

Triwill Group; United States; On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote-first culture

Work from anywhere

Health insurance

Dental and vision coverage

401k matching

MacBook Pro provided

Home office stipend

Monthly meal stipend

Annual learning stipend

Annual health and wellness stipend

Job summary

Sardine is seeking a data-driven professional to measure, understand, and improve risk strategies, designing data-driven solutions with real-world impact. You’ll work with clients to prototype models and deploy solutions using ML and graph analytics.

You'll analyze datasets, build dashboards, and collaborate across teams to drive decision-making and optimize outcomes in a hands-on, high-impact role at the intersection of data science and risk.

Qualifications

• 7+ years in data science or data-focused roles with fraud/risk impact.
• Strong Python/R and SQL skills; Spark is a plus.
• Experience with BI tools like Tableau, Sigma, or Metabase.
• Ability to translate data insights for technical and non-technical audiences.
• Strong critical thinking and problem-solving with bias toward action.
• Proficiency in defining and tracking performance metrics.

Responsibilities

• 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, from proof-of-concept through to production.
• Develop and track metrics to measure the performance of our risk products and the effectiveness of risk management strategies.
• Conduct in-depth analyses to uncover insights contributing to fraud reduction and higher approval rates for our clients.
• Work directly with clients to understand their fraud challenges and translate complex data insights into clear, actionable recommendations.
• Use data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experience.
• Create and automate self-serve dashboards leveraging BI tools.
• Collaborate with engineering to scale models into production, optimize performance, and support data instrumentation.
• Partner with cross-functional teams (Business, Product, and Engineering) to translate business requirements into data-driven solutions.

Skills

Data science

Python

SQL

Fraud risk

Tools

Tableau

Sigma

Metabase

Spark

Job description

Sardine is seeking a data-driven professional to measure, understand, and improve risk strategies, designing data-driven solutions with real-world impact. You’ll work with clients to prototype models and deploy solutions using ML and graph analytics.

You'll analyze datasets, build dashboards, and collaborate across teams to drive decision-making and optimize outcomes in a hands-on, high-impact role at the intersection of data science and risk.