about the company
Our client is a Singapore-based company specializing in regulatory technology (RegTech) solutions. Their main focus is on developing machine learning-powered software to help financial institutions comply with regulations, manage risk, and detect financial crimes such as money laundering and fraud.
about the role
- We're looking for a data scientist passionate about both theoretical and applied machine learning, excelling in dynamic environments.
- Minimum requirement is over 4 years experience in predictive analytics/forecasting, solving real-world challenges.
- Preference for expertise in transactional anomaly prediction and operational risk modeling.
- Strong communication skills essential, adept at articulating complex models clearly and concisely for client interactions.
Skills and experience
● Thoroughly understanding business challenges, determining predictive objectives, and articulating the value proposition to clients.
● Analyzing vast, intricate, multidimensional datasets to derive business-relevant features.
● Grasping the mathematical underpinnings of algorithms and making informed choices among them.
● Applying advanced techniques such as stacking and ensemble methods to enhance model accuracy.
● Converting data access, transformation, and movement requirements into actionable functional specifications and designs.
● Creating logical and physical data flow models for ETL applications.
● Documentation and training for stakeholders.
● Effective communication with clients to manage expectations. Desired Technical Requirements:
Desired Technical Requirements:
● Proficiency in Python for developing production-ready code.
● Experience with Scala is advantageous.
● Familiarity with big data technologies like Spark and Hadoop is highly preferred.
● Knowledge of SQL or other database systems.
Desired Non-technical Requirements:
● Exceptional written and verbal communication skills.
● Enthusiasm for collaborating with startups.
● Strong team player mentality.
To apply online please use the 'apply' function, alternatively you may contact Amrita Chandran at [email protected]
Randstad EA License No: 94C3609
EA Personnel Registration No: R1440037
