Fundnel

Data Science Associate

Singapore
Technology (Singapore)
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

  • 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
  • Create an analysis framework that provides the insights needed to inform business decisions
  • Provide 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
  • Process, cleanse, and verify the integrity of data used for analysis
  • Identify and define new process improvement opportunities

Skills & Experience Required

  • 0-3 years of industry experience as a Data Analyst
  • 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.
  • 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
  • Well-versed in the core MS Office suite programs and an advanced user of Excel including the ability to use formulas, macros, functions, and pivot tables
  • Technical expertise regarding data models, database design development, data mining and segmentation
  • Bachelor's or Master’s degree in Data Science, Mathematics, Economics, Computer Science, Information Management or Statistics
  • Knowledge of digital marketing (i.e. Google Analytics, SEM, Programmatic Advertising) is a plus

The Ideal Candidate Should Be

  • Interested in dealing with data, including finding and exploring more efficient ways/programs (e.g. machine learning) to collect, store, and analyse data
  • Preferably have some understanding of terms in financial statements and financial ratios
  • Strong problem-solving skills – able to find various ways to solve problems and decide which solution to move forward
  • Ability to work under pressure and tight timings
  • Team oriented, but highly independent for their own projects
  • High level of organisational skills and ability to prioritise


Only successful applicants will be contacted.

Please come prepared for an intensive round of interview.

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