Data Analyst

CLOUDUN TECHNOLOGY PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading technology firm in Singapore is seeking an analytical professional to analyze financial data and provide insights. Responsibilities include monitoring financial performance and collaborating with teams on risk control and credit risk modeling. The ideal candidate will have a quantitative degree and experience with data analysis tools and programming languages such as Python and SQL. This role offers a dynamic work environment and opportunities for growth.

Qualifications

• Bachelor’s Degree or higher in a quantitative major (computer science, mathematics, physics, statistics, etc.).
• Good numerical reasoning skills & data analysis skills.
• Exposure to one or more data analysis packages or databases.

Responsibilities

• Analyze financial data, and identify relevant insights.
• Monitor financial performance, identify trends and problems.
• Coordinate with internal and external teams.
• Participate in the risk control platform and credit risk modeling.
• Develop customized models and algorithms.

Skills

Data analysis

Numerical reasoning

Programming in Python

SQL

Education

Bachelor’s Degree in a quantitative major

Tools

SAS

R

SPSS

MySQL

Oracle

MongoDB

Hive

Job description

Job Duties

• Analyze financial data, and identify relevant insights considering the company's goals and financial standing.
• Monitor current & past financial performance, identify trends or abnormal fluctuations, and deep dive into major problems.
• Coordinate with internal and external teams as needed.
• Participate in the implementation, advancement, and monitoring of the risk control platform, credit risk modeling, and anti-fraud rules.
• Explore datasets, extract features and develop customized models and algorithms (i.e. GBDT, XGBOOST, Neural Network, etc.).

Requirement

• Bachelor’s Degree or higher in a quantitative major (computer science, mathematics, physics, statistics, etc.)
• Good numerical reasoning skills & data analysis skills.
• Exposure to one or more data analysis packages or databases, e.g: SAS, R, SPSS, MYSQL, Oracle, MongoDB, hive
• Hands-on experience using at least one of the following programming languages:Python, SQL.