Proven subject matter expertise in credit risk scoring
Your new company
A series A tech start-up backed by top VCs including Sequoia and GFC.
Your new role
As a Lead/Chief Data Scientist (Fintech), you will be responsible for use of data and modelling to measure and limit our credit/fraud risk in B2B Payments and Credit, ensure high-quality decisions, and point towards new growth opportunities through the use of statistical, machine learning, algorithmic, and experimental techniques. You should be a self-starter who thrives on uncertainty and ambiguity, and be passionate about solving real problems with huge (and messy) or sparse (and limited) data sets.
This is an exciting zero-to-one role where you will lay the foundation as an individual contributor before subsequently building up a team.
What you'll need in order to succeed
The ideal candidate will possess a proven track record as a Lead-level data scientist coupled with subject matter expertise in the area of credit risk scoring & modelling. A huge plus if you come from embedded finance background and possess a strong understanding of the SME merchant market.
What you'll get in return
Besides enjoying an attractive salary package plus equities, you'll get to work for a regional player with very strong global comparable.
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. If this job isn't quite right for you but you are looking for a new position within Data Science, please contact Daen Huang at +65 63030158 or email email@example.com for a confidential discussion on your career.
Hays Registration Number: 200609504D, EA License: 07C3924, Registration ID Number: R1658977
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