JOIN US IN DISRUPTING

THE PREDICTIVE ANALYTICS PLATFORM



Data Scientist - Job Description


JOB OVERVIEW

We are looking for data scientists to support market trading and risk management analytics solutions. We are about getting it done and owning what you do. We treat our people equally, fairly and give them the freedom and autonomy to create something awesome. We make mistakes, we learn from them and we back everything up with data and logic. We are on the hunt for exceptional talent who are intellectually curious, analytical, impact-driven, persistent, and not shy about sharing their opinions and recommendations.

WHAT YOU'LL BE DOING

  • Design predictive customer models that enable the business to drive algorithmic approach to trading in securities, pricing and risk management
  • Deliver real impact to the product through rigorous data-driven solutions
  • Research and build scalable models with or without machine learning
  • Collaborate to enhance data infrastructure and build a seamless research platform
  • Use descriptive statistics and advanced analytics to enable understanding of behaviors and patterns within data.
  • Transforms formulated problems into implementation plans for experiments.
  • WHAT SKILLS YOU’LL NEED

  • Bachelors/MS in Statistics, Economics or Computer Science
  • 3+ years of experience in data sciences, research or business roles
  • High proficiency with SQL, experience with R, SAS or Python highly preferred
  • Deep understanding of fundamentals of probability and statistics
  • Experience with different techniques including clustering, ML algorithms, decision tree, random forest and experimental design applied to real world problems.
  • Preferred - Numpy, Pandas, GCP
  • BENEFITS

  • Work in open and inclusive culture, with integrated flex working
  • Competitive benefits
  • Excelllent Work place benefits
  • To apply for these positions, please email your CV to admin@cslabs.ai

    Your profile doesn't fit a position? Don't worry, please drop us a message by clicking here.



    Contact Us