Data Scientist

Description

At ThetaRay, our purpose is to make the world a safer place by protecting the integrity of the global financial system. We do this by putting AI at the core of both our technology and our way of working.

Our AI-driven solutions help banks and fintech companies worldwide detect and stop serious financial crime, from human trafficking and terrorist financing to sophisticated money laundering, while advanced technology, automation, and AI-driven tools help our teams collaborate smarter, move faster, and continuously improve how we build, deliver, and innovate.

About the role:

We are looking for a Data Scientist to turn expertise, initiative, and bold thinking into real impact on the next generation of AI-driven financial crime detection. If you combine strong data science and machine learning capabilities with the ability to translate complex technical solutions into real business value for customers, and if you are motivated by leading end-to-end implementations that sit at the intersection of cutting-edge AI and the world's most critical financial crime challenges, ThetaRay could be your next challenge.

Responsibilities:

• Deliver successful deployment and Pilots
• Manage and design the Customer-specific technical solution throughout the project life cycle
• Technical leadership of Data Science and engineering aspects and team members including partners
• Work on various data sources and apply sophisticated feature engineering capabilities
• Bring and use business knowledge
• Extract insights and actionable recommendations from large volumes of data and Investigate anomalies in Big Data
• Build and manage technical relationships with customers and partners
• Provide product requirements input to the Product Management team
• Train the customers on the system - system usage and monitoring aspects
• Travel to customer locations both domestically and abroad

Requirements

• 2+ years of experience as a data scientist/data engineer/big-data developer
• BSc or equivalent in Mathematics, Statistics, Computer Science, Economics, or another related field
• Must have proven professional experience in data analytics for financial services with strong data mining and forensic skills
• Experience working with customers - an advantage
• Must have Hands-on experience and knowledge of scripting languages: Python/PySpark as well as DS workflow management tools including MLflow, Airflow, etc.
• Experience in NLP or Graph Algorithms - an advantage
• Working experience with Linux OS - an advantage
• Fluent English - written and spoken

Core Competencies

• Able to solve tech problems for customers; improvise; cope with unexpected challenges
• Able to drive relevant internal functions to deliver/solve a problem for customers/partners
• A motivated, self-starter who can demonstrate high analytical and technical skills
• Ability to design creative solutions for complex requirements
• Ability to learn and lead projects independently, and to work with minimal supervision with customers (tech & business)
• Strong interpersonal relationship building
• Ability to execute multiple projects and drive key business results under tight deadlines

Please submit your CV in English.