Fundnel

Data Science Associate

Malaysia
Technology (Kuala Lumpur, Malaysia)
Full Time

Some Things To Know Before You Apply

  • We have big plans to disrupt the traditional fundraising process for private businesses
  • You will work with a diverse team of former investment bankers, strategy consultants and business owners in developing innovative funding and growth strategies for clients
  • Everything we do is focused on helping businesses do business, better
  • We work really hard but play really hard as well

Job Purpose

  • Help to build Fundnel products for the next phase of growth along with our vision
  • Work in a team with other data analysts to build develop the brain of our proprietary platform, Deal Management System using machine learning to make sure Fundnel is able to evaluate and screen businesses efficiently and accurately

Roles & Responsibilities

  • Processing, cleansing and verification of the integrity of data used for company analysis
  • Contributing to data mining processes, company evaluation, reporting and data analysis methodologies
  • Collaboration with unit managers, end user, development staff and other stakeholders to integrate the Fundnel’s Deal Management System and Analytics with existing systems
  • Creating an analysis framework that provides the insights needed to inform business decisions
  • Providing insights from multiple large data-sets through visualization and storytelling
  • Build and maintain data procedures that gathers and process data from multiple technology platforms, ultimately driving automation and machine learning
  • Identification and defining new process improvement opportunities
  • Interpret data, analyse results using statistical techniques, identify trends or patterns in complex data sets, and provide ongoing deal analytics reports to support investment decisions

Skills & Experience Required

  • Strong analytical skills with the ability to collect, organize, analyse and disseminate significant amounts of information with attention to detail and accuracy
  • Timeline driven
  • 0-3 years of industry experience as a Data Analyst, Data Scientist, Data Science Associate
  • Strong understanding of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
  • Good knowledge of data analytics modelling techniques and statistical analysis and proficient in data analytics tools such SPSS, R, Python (Django, Flask)
  • Experience in using data mining tools/library such as Pyspider, MechanicalSoup, Beautiful Soup, Scrapy, selenium
  • Knowledge of SQL query, and experience in using DB tools is a plus
  • Experience with deep learning frameworks such as TensorFlow, Keras, Caffe, Torch/PyTorch, Theano, mxnet
  • Experience with graph-based analytics, knowledge graphs
  • Data Visualization with tools such as Tableau or D3
  • A Diploma or Degree in Data Science, Statistics, Information System, Computer Science or equivalent

The Ideal Candidate Should Be

  • Interested to work in the small business (startup) environment
  • Possess a strong interest in fintech / financial services
  • Interested in deal with data, functions and characteristics of companies
  • Challenge conventional thinking and push design to achieve functionality and beauty
  • Have a basic understanding of terms in financial statements and financial ratios


Only successful applicants will be contacted.

Please come prepared for an intensive round of interview.

Apply for this job