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.
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 where innovation meets purpose.
looking for a Data Scientist to join our innovative Data team.
As a Data Scientist, you will work on customer-facing projects that combine data science with deep knowledge and understanding of machine learning and big data technologies to create solutions for customers challenges and needs, defining and developing appropriate technical and business solutions. The Data Scientist will work closely with Product Management, Algorithm, Engineering, and Customer Success teams and lead external partners to successful implementations of the platform and solutions.
Key Responsibilities
Deliver successful deployment and Pilots
Manage and design the Customer-specific technical solution throughout the project life cycle
Technical leadership of Data Science & 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
Requirements: Up to 2 years of experience as a data scientist/data engineer/big-data developer.
BSc or equivalent in Mathematics, Statistics, Data Science or another related field.
Proven professional experience in data analytics for financial services with strong data mining and forensic skills - an advantage.
Experience working with customers. Advantage financial customers.
Must have Hands-on experience and knowledge of scripting languages: Python/PySpark as well as DS workflow management tools including MLflow, Airflow, etc.
Working experience with Linux OS - an advantage.
Fluent English - written and spoken.
This position is open to all candidates.
