Data Engineer

Southern Ridges Capital; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

An investment firm in Singapore is seeking a Data Engineer who will support investment research through robust data systems. The role involves building data pipelines and working closely with analysts and managers. Ideal candidates have a degree in a relevant field, proficiency in Python or R, and an eagerness to learn. This position offers hands-on experience in financial environments and valuable mentorship.

Benefits

Hands-on experience

Mentorship & Learning

Professional Development

Impact on investment decisions

Qualifications

• Willingness to learn and apply new technologies in a practical, real-world setting.
• Interest in financial markets and macroeconomic trends.
• Basic understanding of options, derivatives, or econometrics.

Responsibilities

• Build and maintain scalable data pipelines and infrastructure.
• Prepare data for analysis or operational use.
• Ensure data integrity and quality by implementing monitoring and validation.

Skills

Proficient in Python and/or R

Strong attention to detail

Good written and verbal communication skills

Team-oriented mindset

Education

Minimum degree in data science, statistics, mathematics, physics, engineering, or related field

Tools

Bloomberg

CEIC

Haver

Macrobond

Job description

Southern Ridges Capital

Southern Ridges Capital is an investment firm managing fixed income, currency assets, and derivatives by employing discretionary macro and relative value investment strategies.

We believe in cultivating a strong, collaborative culture where people are empowered to learn, grow, and do their best work. We are committed to mentoring early-career professionals and giving them the tools, exposure, and guidance to succeed in a dynamic and intellectually challenging environment.

What You’ll Do

As a Data Engineer, you’ll work closely with our investment team to support the development and maintenance of robust data systems that drive investment research and decision-making.

This is a hands‑on role ideal for someone with a strong interest in data engineering, financial markets, and real‑world applications of data‑driven tools.

Your key responsibilities will include:

• Build and maintain scalable data pipelines and infrastructure to ingest, process, and store structured and unstructured data from various sources
• Prepare data for analysis or operational use
• Ensure data integrity, consistency, and quality by implementing monitoring, validation, and error‑handling frameworks
• Collaborate closely with data analysts, researchers and portfolio managers to understand data needs and deliver fit‑for‑purpose solutions

What You’ll Gain

• Hands‑on Experience: Exposure to live trading environments and real‑world investment problems from day one
• Mentorship & Learning: Work closely with seasoned professionals who will support your growth through feedback and collaboration
• Professional Development: Build skills in coding, data analysis, and financial market research
• Impact: See your work contribute directly to the investment process and help drive results

What We’re Looking For

Technical Skills

• A minimum degree with a major in data science, statistics, mathematics, physics, engineering, or a related field
• Proficient in Python and/or R
• Willingness to learn and apply new technologies in a practical, real‑world setting

Helpful Experience

• Exposure to macroeconomic or financial data tools like Bloomberg, CEIC, Haver, or Macrobond
• Interest in financial markets and macroeconomic trends
• Basic understanding of options, derivatives, or econometrics

Soft Skills

• Strong attention to detail and a structured, logical approach to problem‑solving
• Eagerness to learn and improve your technical and domain knowledge
• Good written and verbal communication skills.
• Team‑oriented mindset with a positive attitude and initiative
• High standards of integrity and professionalism

Why Join Us

At Southern Ridges Capital, you will work closely with the investment team, and you will have the opportunity to contribute to real investment decisions and view your impact. You will gain a wider experience and better understanding of the investment world working in a smaller and more collaborative setup like ours.