Risk Analyst - Risk Strategy & Analytics - Credit

Monee; Singapore; On-site; SGD 50,000 - 80,000; Full time

Job summary

A financial services company in Singapore is seeking a data analyst to design and optimize credit-related strategies. The ideal candidate will have a Bachelor's degree in relevant fields and strong analytical skills. Responsibilities include evaluating creditworthiness, conducting data analyses, and working with internal teams to implement strategies. Candidates across experience levels are welcome, with proficiency in SQL and Python being essential. This role offers an opportunity to impact consumer and SME loan performance significantly.

Qualifications

• Bachelor's degree in a relevant field.
• Open to candidates of all experience levels.
• Strong analytical skills.
• Proficiency in SQL, Python, Excel, PPT.
• Effective communication skills.

Responsibilities

• Design and optimize credit related strategies.
• Evaluate the creditworthiness of applicants.
• Conduct data analysis on risk exposure.
• Develop and track indicators for fraudulent activities.
• Work with Product and Data Science teams.

Skills

Analytical skills

Data management

Communication

Attention to detail

SQL

Python

Excel

PowerPoint

Education

Bachelor’s degree in Quantitative Finance, Statistics, Computer Science, Business Analytics, Data Science, or related fields

Job description

Job Description

• Design and optimize data-driven credit related strategies for consumer and SME loans, including anti-fraud, collection, and risk policies.
• Evaluate the creditworthiness of new applicants and monitor the life-time financial performance of existing customers.
• 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.
• Develop and track key indicators to detect fraudulent activities and optimize risk strategies to control the risk.
• Work with internal Product and Data Science team to ensure that the credit risk strategies are implemented accurately.
• Assess business operations and market trends to enhance competitive positioning.

Requirements

• Bachelor’s degree in Quantitative Finance, Statistics, Computer Science, Business Analytics, Data Science, or related fields.
• Open to candidates across experience levels, including entry-level and experienced professionals.
• Strong analytical skills and experience in data management.
• Proficiency in SQL, Python, Excel, PPT.
• Ability to navigate ambiguity, develop testable hypotheses, and drive actionable outcomes.
• Strong attention to detail and ability to identify data inconsistencies.
• Effective communication skills to present complex insights to technical and business stakeholders.
• Prior experience in Retail/Institutional Banking, Consumer/SME Finance, Supply Chain Finance, e-Commerce, Consulting, or Credit Ratings is a plus.