Researcher (Singapore) - Research and Development

Data Science @ Tookitaki

The data science team is responsible for solving business problems on complex data. Data complexity could be characterized in terms of volume, dimensionality and multiple touchpoints/sources. We understand the data, ask fundamental-first-principle questions and apply our analytical and machine learning skills to solve the problem in the best way possible. The problems that we tackle are focused on our 2 products/IP related to anti-money laundering (AML) and financial exception management. In addition, the team plays a pivotal role in shaping company IP, primarily in the area of approach, model selection, model tuning and feature engineering, so that engineering can take this up and automate the same via a pipeline.

Our Ideal Candidate

The key responsibilities of the role are as below:

  • Identifying the key problems faced by our clients and the AMLS product, and executing a research plan to solve it; 
  • Implementing solutions to upgrade feature engineering and modelling pipelines of the AMLS product; 
  • Maintaining effective communication with the product, delivery and engineering teams, and providing sufficient assistance based on priorities

AMLS focus areas for the role

  • Name Screening 
    1. Building NLP pipeline to extract essential profile information from free text;  
    2. Finding the best solution to do entity resolution; 
  • Transaction Monitoring 
    1. Upgrading the unsupervised pipeline to do more effective clustering and anomaly detection; 
    2. Building a link analysis pipeline using graph databases and algorithms; 
    3. Upgrading the supervised pipeline by improving on feature engineering and making clustering more effective

Requirements: 

  • Prior experience in Python and Spark; 
  • Ability to execute research plan using machine learning technologies; 
  • (Excellent problem-solving skills; 
  • Expertise in NLP, graph database and graph algorithms would be a plus.
  • Deep experience in big data would be a plus.

Desired Non-technical Requirements

  • Very strong communication skills both written and verbal
  • Strong desire to work with start-ups
  • Must be a team player

Job Perks

  • Attractive variable compensation package
  • Flexible working hours – everything is results-oriented
  • Opportunity to work with an award-winning organization in the hottest space in tech – artificial intelligence and advanced machine learning