Data Scientist

Company Introduction

ADVANCE.AI is a leading AI company that provides digital transformation, fraud prevention, and process automation solutions for enterprise clients. ADVANCE.AI currently partners over 500 enterprise clients across banking, financial services, fintech, payment, retail and e-commerce sectors. Headquartered in Singapore, ADVANCE.AI has a global footprint across 9 markets in 3 continents.

ADVANCE.AI is part of Advance Intelligence Group, an AI-driven technology company that consists of an ecosystem of AI-powered, credit-enabled products and services that includes consumer financing, digital identity verification and risk management as well as enterprise resource planning software. Founded in 2016, the Group has presence across South and Southeast Asia, Latin America and Greater China. The Group is backed by top tier investors SoftBank Vision Fund 2, Warburg Pincus, Northstar,Vision Plus Capital, Gaorong Capital, Pavilion Capital, GSR Ventures and Singapore-based global investor EDBI.

ADVANCE.AI was named ASEAN Fintech winner at the 2023 Singapore Fintech Festival Global Fintech Awards for its risk management technology.

Advance Intelligence Group employees are united by a shared vision and purpose: to Advance with Intelligence for a Better Life--for our customers, colleagues and communities.

Our culture is built on values that are core to who we are and what we stand for:

• We foster an INNOVATION mindset
• We achieve results with EFFICIENCY and excellence
• We take pride in the QUALITY of our work
• We uphold INTEGRITY in all we do
• We embrace COLLABORATION to work across business lines and borders
  
  

You Will

• Work on risk model development for retail and SME finance products such as consumer lending, multi-finance, credit-card, SME and so on.
• Analyze and conduct feature engineering for massive data such as credit-report, e-commerce, and deploy the feature pipeline
• Evaluate third-party data to decide whether to use for the credit modeling.
• Research model methodology and data mining techniques to improve model performance.
• Continuous explore the value of data for credit modeling and data product.
  
  

What You Need To Succeed

• 3-6 years relevant experience in developing risk model and good understanding of credit risk management
• Good understanding and hands on experience of ML models such as boosting trees, regression models
• Good coding skills using SQL and Python
• Experience in data analysis and feature engineering
• Excellent English, be able to communicate in English fluently.