Risk Expert - Risk Strategy & Analytics - Credit

Monee; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Monee is seeking a quantitative professional in Singapore to oversee end-to-end risk strategies and enhance user lifetime value. The role demands a Bachelor’s or Master’s degree in Math, Statistics, or similar, with at least 3 years of experience in a quantitative capacity. You will engage in data analysis, A/B testing, and provide insights to improve business strategies. Excellent communication skills and proficiency in SQL, Python, and Excel are essential. This is a critical role for driving risk management initiatives and optimizing competitive positioning.

Qualifications

• Minimum 3 years experience in a quantitative role.
• Hands-on experience with analyzing large data sets.
• Experience with conducting A/B tests.

Responsibilities

• Responsible for end-to-end risk strategies including underwriting.
• Manage existing users’ lifetime value through loan management.
• Collaborate with teams to launch new initiatives.

Skills

Data analysis

SQL

Python

Excel

Effective communication

Education

Bachelor’s or Master’s degree in quantitative fields

Job description

Job Description

• Responsible for end-to-end risk strategies including underwriting, limit assignment, risk based pricing and tenure eligibility.
• Manage the existing users’ life time value through post loan management including limit adjustment
• Develop and track key indicators from both internal and external data sources to detect abnormal risk trends and optimize risk strategies.
• Conduct data analysis on risk exposure and profitability to identify opportunities for product and strategy improvement. Provide credit risk insights and recommendations to internal teams and stakeholders.
• Assess business operations and market trends to enhance competitive positioning.
• Collaborate with Data Science, Business Development, and Product teams to launch new initiatives and grow the business while controlling risk

Requirements

• Bachelor’s or Master’s degree in Math, Physics, Statistics, Quantitative Finance, Statistics, Computer Science, Economics, Business Analytics, Data Science, or other quantitative fields.
• Minimum 3 years experience in a quantitative role. Prior experience in Retail/Institutional Banking, Consumer/SME Finance, Supply Chain Finance, e-Commerce, Consulting, or Credit Ratings is a plus.
• Hands-on experience with making impactful business decision through analyzing large data set
• Experience with conducting A/B tests to verify hypotheses that lead to actionable items to improve the business
• Proficiency in SQL, Python, Excel, PPT.
• Strong attention to detail and ability to identify data inconsistencies.
• Effective communication skills to present complex insights to technical and business stakeholders.