Silent Eight: Data Science Lead
Wavemaker Pacific Partners
 Warsaw, IN
Wavemaker Partners is Southeast Asia’s leading early-stage venture capital firm investing in enterprise and deep tech companies

Who we are
We are an award-winning innovative FinTech firm with a passion for Artificial Intelligence. We work with a number of large international banks, such as Standard Chartered Bank, providing them with powerful tools aimed at combating Money Laundering and Terrorist Financing. Our innovation has brought us the support of leading Venture Capital Funds from Silicon Valley and Singapore.

Who are we looking for
Capitalizing on our success, we are growing our multi-talented team bigger and stronger, and today we are looking for a motivated DS Lead to take ownership of a unique set of projects related to Machine Learning.

Tasks include:

  • Working on-site with our Client – Standard Chartered Bank – in tight cooperation with our internal Development Team in Poland and Data Science Team in Singapore
  • Analyzing the Big Data delivered by our Client, as well as our internal resources of data
  • Testing of Data Science and Machine Learning algorithms
  • Designing new features for AML (Anti-Money Laundering) platform using the latest technologies (Java/Python)
  • Running the solution in the Client’s environment, on-site analysis and providing the diagnostic
  • Building the necessary components to integrate with Clients’ systems
  • Communicating all concepts and guidelines successfully to the Development Team, delegating tasks and managing the Team (if necessary)
  • Using top of the line tools: tracking the Scrum stories in YouTrack, keeping the code and merging requests in GitLab, using Jenkins for automated building and testing, analyzing code with SonarQube and keeping artifacts in Artifactory

Our requirements

  • Willingness to start work at 6-7 AM (every day) 
  • Readiness to travel to Singapore (possibly once a Month)
  • Experience in software development 
  • Strong understanding of relational databases and big data
  • Full proficiency in Java 8, Spring, Python, Bash
  • Experience in using Spark/Pandas/Jupyter Notebook and other Data-Science related technologies
  • Proficiency in working within the Linux environment
  • Experience in explaining chosen techniques and designs to programmers (clear and understandable documentation, diagrams, etc.)
  • Practical knowledge and application of enterprise integration patterns
  • Experience in continuous integration and delivery workflows
  • Individual contributor mentality and problem-solving skills 
  • Business-oriented approach

What we offer

  • An actual impact on how the biggest banks around the world are stopping money laundering and terrorism financing activities
  • Benefit in the form of an attractive Employee Stock Ownership Plan
  • Access to the newest ideas and concepts by attending top Tech/IT conferences, meetups, and networking events
  • Taking part in regular get-togethers, including seasonal parties, international meetings, etc.