Software Engineer Student

Description

About ThetaRay:

ThetaRay is a trailblazer in AI-powered Anti-Money Laundering (AML) solutions, offering cutting-edge technology to fintech's, banks, and regulatory bodies worldwide. Our mission is to enhance trust in financial transactions, ensuring compliant and innovative business growth. 

Thetaray is a culture-driven company. Our values are at the heart of our success. By joining us, you'll have the opportunity to embody these values and inspire others through your actions.

Our technology empowers customers to expand into new markets and introduce groundbreaking products.

Why Join ThetaRay?

At ThetaRay, you'll be part of a dynamic global team committed to redefining the financial services sector through technological innovation. You will contribute to creating safer financial environments and have the opportunity to work with some of the brightest minds in AI, ML, and financial technology. We offer a collaborative, inclusive, and forward-thinking work environment where your ideas and contributions are valued and encouraged.

Join us in our mission to revolutionize the financial world, making it safer and more trustworthy for millions worldwide. Explore exciting career opportunities at ThetaRay – where innovation meets purpose.

We are seeking a proactive and talented Software Engineer Student to join our Algorithm team as part of the R&D department.

About the Role:

• Implementation of scientific algorithms and computational models
• Collaborate with scientists and researchers to analyze algorithms' results
• Design, develop and optimize existing and new modules
• Conduct performance analysis and optimization of scientific software
• Document and maintain codebase, including writing technical documentation and unit tests

Requirements

• At least 1 year remaining as a student in Computer Science, Physics, Mathematics, or a related field
• Strong programming skills in Python - a must
• Experience in scientific programming and algorithm development
• Familiarity with Python libraries such as: Numpy, Scipy, Sklearn, Math, TensorFlow, PySpark and Pandas
• Familiarity with version control systems
• Excellent problem-solving and analytical skills
• Strong communication and collaboration abilities