Data Scientist

OLEA GLOBAL MARKETS PTE. LTD.; Singapore; On-site; SGD 40,000 - 60,000; Full time

Job summary

A financial technology company in Singapore is looking for an entry-level individual to join its Risk Analytics team. The ideal candidate will have a Bachelor's degree in a quantitative discipline and basic proficiency in Python and SQL. Responsibilities include assisting in the asset allocation tool's design, supporting the development of analytical models, and performing quantitative analysis. This role offers a collaborative environment with opportunities to learn about trade finance and data-driven decision-making.

Qualifications

• 0–2 years of experience in data analytics, financial modeling or similar roles.
• Basic proficiency in Python and SQL for data handling and analysis.
• Interest in trade finance and asset allocation strategies is advantageous.

Responsibilities

• Assist in designing and building the asset allocation tool.
• Support development of analytical models and dashboards.
• Collaborate with technology teams to integrate the tool.

Skills

Analytical skills

Communication skills

Problem-solving

Education

Bachelor’s degree in quantitative discipline

Tools

Python

SQL

Job description

Company Description

Olea is a joint venture between Standard Chartered Bank and Linklogis, headquartered in Singapore. It is a fully digitized trade finance platform that connects businesses requiring supply chain financing with investors interested in trade finance assets. Olea aims to become a leading global platform in empowering sustainable trade by leveraging Standard Chartered's expertise in trade and risk management with Linklogis' technological proficiency.

Role Description

We are seeking a highly analytical and driven individual to join our Risk Analytics team. This entry‑level role is ideal for someone with strong logical thinking, attention to detail, and a passion for using data and technology to build practical solutions. You will play a key role in supporting the development and enhancement of Olea’s asset allocation tool, which helps optimize investment decisions and risk management.

Responsibilities

• Assist in designing and building the asset allocation tool, including data preparation, model implementation, and testing.
• Support the development of simple analytical models and dashboards to improve decision-making.
• Collaborate with technology teams to integrate the asset allocation tool into production environments.
• Perform basic quantitative analysis to identify trends and insights that inform allocation strategies.
• Document processes and methodologies clearly for internal stakeholders.
• Contribute to maintaining data quality and integrity across platforms.

Qualifications

• Bachelor’s degree in a quantitative discipline such as Data Science, Statistics, Mathematics, Finance, Economics, or related field.
• 0–2 years of experience in data analytics, financial modeling, or similar roles (internship experience is welcome).
• Basic proficiency in Python and SQL for data handling and analysis.
• Familiarity with statistical concepts and optimization techniques is a plus.
• Strong problem‑solving skills and willingness to learn new tools and technologies.
• Good communication skills and ability to work collaboratively in a fast‑paced environment.
• Interest in trade finance and asset allocation strategies is advantageous.