Data Scientist

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

Job summary

A trade finance technology firm in Singapore is looking for an entry-level analyst to join its Risk Analytics team. The successful candidate will assist in the design and development of an asset allocation tool, leveraging data to inform investment decisions and improve risk management. We're seeking candidates with a degree in a quantitative field, basic analytical skills, and a passion for data and technology. A collaborative spirit and eagerness to learn are essential for this role.

Qualifications

• 0-2 years of experience in data analytics or financial modeling, 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.

Responsibilities

• Assist in designing and building the asset allocation tool including data preparation and testing.
• Support the development of analytical models and dashboards.
• Collaborate with technology teams to integrate the tool into production environments.

Skills

Analytical skills

Attention to detail

Problem-solving skills

Collaboration

Education

Bachelor’s degree in Data Science, Statistics, Mathematics, Finance, Economics or related

Tools

Python

SQL

Job description

Company Description

Olea is a joint venture between Standard Chartered Bank and Linklogis, headquartered in Singapore. It is a fullydigitized 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 andenhancement 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.