[CANDIDATES WHO REQUIRE WORK PASSES NEED NOT APPLY]
To us, good performance is about much more than turning a profit. It is about showing how you embody our valued
behaviours - do the right thing, better together and never settle - as well as our brand promise, Here for good.
We are committed to promoting equality in the workplace and creating an inclusive and flexible culture - one where
everyone can realise their full potential and make a positive contribution to our organisation. This in turn helps us to
provide better support to our broad client base.
The Venture is a fintech based in Singapore.
The successful candidate will be the part of a start-up team leading developers to build an innovative platform and
app leveraging on data, analytics to drive the business. This is a rare opportunity for a self-driven, strong
entrepreneurial spirit, start-up minded, solid and passionate individual to participate and contribute to a venture.
Perform full lifecycle of data analyst / data science activities, including conceptualizing to operationalization.
Provide critical thinking to look at numbers, trends, and data and come to correct conclusions based on the
Interpret and analyze data problems, turning business problems into data insights
Work with various people from the tech and marketing teams in meeting milestones, timelines, and
deliverables for projects.
Collate and present key findings to stakeholders with actionable recommendations
Define data sources and specifications, design and implement processes and models for complex, large-
scale datasets used for predictive modelling, data mining, and research purposes.
Lead ideation, experimentation, hypotheses formulation and testing
Use Data Science or Data Analytics tools to design analytics dashboards. Develop dashboard visualization,
metrics, insights; establishing baselines, targets, averages and benchmarks
Ensure data quality and integrity
Background in Statistics, Information Technology, Business Analytics, Data Science, Computing or related
Good knowledge and experience with visualisation tools such as AWS QuickSight, Qlikview, Power BI,
Tableau; and data science tools such as R, Python, Jupyter, AWS Sagemaker
Experience with SQL and NoSQL databases
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Spark etc is a plus
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation,
scenario analysis, modelling, clustering, decision trees, neural networks, etc.
Deep expertise in common data science tools/package (sklearn, mllib, tensorflow, torch, etc.) is a plus.
Good knowledge of data warehousing, data lake, data mining, advanced data analytics & modelling
At least 5 years of relevant working experience, having implemented at least 2 major data warehouses /
datamarts, data analytics, business intelligence or data science projects
Methodical, process oriented, organised and proactive self-starter
Able to work well within a team with diverse personalities
Able to multi-task, quick to adapt and able to work in fast paced environment. Having worked in an agile
environment is a plus.
Good written and spoken communication, presentation and negotiation skills