Data Scientist - Risk

Job Description
  • Work as the data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products
  • Analysis of rich user and transaction data to surface patterns, trends, and bugs that help inform TNGD’s fraud policies and processes and contribute to fraud prevention mechanisms
  • Optimize fraud rules & algorithms to maintain strong fraud detection by rapidly identifying emerging fraud trends through data driven analysis and develop tactical/strategic fraud rules to address them.
  • Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
  • Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
  • Analyse data for trends and patterns, and Interpret data with a clear objective in mind
  • Implement analytical models into production by collaborating with risk and fraud team, software developers and machine learning engineers.
  • Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
  • Identify valuable data sources and automate collection processes
  • Undertake pre-processing of structured and unstructured data
  • Analyse large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Present information using data visualization techniques
  • Propose solutions and strategies to business challenges
  • Collaborate with engineering and product development teams
  • Performs similar duties as he deems fit for the proper execution of his duties and duties as delegated by the reporting manager.
  • To carry out other ad-hoc tasks as specified by the reporting manager from time to time
Job Requirements
  • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
  • Minimum 2 years of experience as a hands-on analyst or data scientist
  • Proven experience as a Data Scientist or Data Analyst
  • Experience in data mining & handling large scale of structured and unstructured data
  • Understanding of machine-learning and operations research
  • Knowledge of R, SQL and Python
  • Experience using business intelligence tools (e.g. Tableau)
  • Analytical mind and business acumen
  • Problem-solving aptitude
  • Excellent communication and presentation skills
  • Exposure to fintech, payments, e-commerce is an advantage.
  • Willing to travel and will be required to investigate fraud issues on-site
  • Ability to work in a start-up environment and manage multiple priorities
  • Ability to make sound judgement calls independently when presented with difficult decisions, especially when only partial information is available
Interested in this job position?
Apply Now