Data Science

Summary: The role is for a Data Scientist with 10 years of experience, focusing on fraud analytics and detection within the banking or fintech sectors. Candidates must have a strong command of programming languages and data science libraries, as well as experience with machine learning models in production environments. The position is remote, with a preference for candidates located on the East or West Coast of the USA, excluding those based in Los Angeles, California.

Key Responsibilities:

• Conduct fraud detection and mitigation using advanced analytics and modeling techniques.
• Utilize graph analytics, behavioral biometrics, and NLP in fraud analytics.
• Manage financial crime risk within banking or fintech environments.
• Build and deploy machine learning models in a production fraud detection setting.
• Work with large datasets and utilize cloud platforms such as AWS, Google Cloud Platform, or Azure.
• Engage with real-time fraud systems like SAS Fraud Management, Actimize, or Falcon.

Key Skills:

• Fraud Analytics: Fraud Detection & Mitigation.
• Advanced Analytics & Modeling.
• Graph analytics, behavioral biometrics, NLP.
• Financial crime risk management within banking or fintech.
• Experience building and deploying ML models in a production fraud detection environment.
• Strong command of Python, R, SQL, and data science libraries (pandas, scikit-learn, TensorFlow, etc.).
• Exposure to real-time fraud systems (e.g., SAS Fraud Management, Actimize, Falcon, etc.).
• Experience working with large datasets, Hadoop/Spark, and cloud platforms (AWS, Google Cloud Platform, Azure).

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT