Description
About ThetaRay:
ThetaRay is a trailblazer in AI-powered Anti-Money Laundering (AML) solutions, offering cutting-edge technology to fintechs, banks, and regulatory bodies worldwide. Our mission is to enhance trust in financial transactions, ensuring compliant and innovative business growth.
Our technology empowers customers to expand into new markets and introduce groundbreaking products.
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.
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.
ThetaRay is looking for a Student Data Process Engineer to join our growing team of data experts.
The hire will be responsible for designing and implementing business workflows within the ThetaRay system and supporting our data team with various data related tasks and configurations.
The ideal candidate has experience in data transformations and is passionate about working with customers, understanding their needs and providing custom solutions.
They must be self-directed and comfortable supporting multiple production implementations for various use cases.
Key Responsibilities
- Design and implement solution-based business workflows for specific use cases, according to customer’s design and regulatory requirements
- Implement and maintain data pipelines in production within the ThetaRay system, with a focus on data validation, pipeline optimization and configuration
- Monitor, evaluate the efficiency of and identify potential risks and issues in business processes
- Develop and deliver any training required on newly created or updated processes, both to clients and internal staff
- Work closely with other departments (Product, RnD, Data, QA) as the main point of reference for business process implementation
- Build rule-based data pipelines according to business specifications
- Create analytics tools for the data team members to assist them in building and optimizing our product into an innovative industry leader
Requirements
- At least 1 year remaining as a student - Computer Science, Information Systems, Engineering or any other quantitative field
- Hands-on experience with SQL
- Hands-on experience with Python, specifically data analysis libraries such as Pandas and Numpy
- Proven experience with data transformation and validation
- Detail oriented and independent learning orientation
- Business oriented and able to work with external customers and cross-functional teams
- Excellent communication skills and level of English - both spoken and written
Nice to have:
- Knowledge of Spark scripting languages: PySpark/Scala/Java/R
- Experience working with and optimizing big data pipelines, architectures, and datasets
- Experience with XML Programming
- Experience with basic Linux
- Experience with Zeppelin/Jupyter
- Experience with workflow automation platforms such as Jenkins or Apache Airflow
Top Skills
What We Do
At ThetaRay, we believe that banks no longer have to de-risk when they can expand their cross-border ecosystem safely.
ThetaRay is the developer of SONAR, a groundbreaking, AI-powered, transaction-monitoring SaaS solution for cross-border payments that allows banks to expand their business opportunities by achieving safe and reliable cross-border payment monitorisation.
ThetaRay's technology is the only packaged SaaS offering that analyzes SWIFT traffic, risk indicators, and client/payer/payee data to detect anomalies indicating money laundering activity across complex, cross-border transaction paths. It is also one of the only AI-driven AML solutions that can be easily integrated and deployed within days, with minimal implementation required. ThetaRay's solution increases detection capabilities for both supervised and unsupervised data and includes profiling and advanced analytics assessments, all in one platform. Financial organizations that rely on highly heterogeneous and complex ecosystems benefit greatly from ThetaRay's unmatchable low false-positive rates.
