Software Engineer, AI Applications (Equities Research Tools)

Millennium Management; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A global financial services firm in Singapore seeks an experienced Full-stack Software Engineer to develop AI applications for equity research tools. The ideal candidate has 5-10 years of experience in full-stack development, proficient in Typescript and backend Python, with strong communication skills. Responsibilities include building applications to assist portfolio managers and collaborating with investment professionals. The role also requires providing technical support for existing tools, emphasizing teamwork and ownership of work.

Qualifications

• 5 to 10 years of full-stack development experience, preferably within a financial services firm.
• Ability to write well-designed, efficient, and testable code.
• Familiarity with equities and equity derivatives in a trading environment.

Responsibilities

• Design and build AI-enabled applications for portfolio managers.
• Interact with equities management and investment professionals.
• Provide second level support for equities research tools.

Skills

Full-stack development experience

Proficiency with Typescript

Proficiency with back-end Python

Strong communication skills

Team-player mentality

Commercial experience in AI systems

Job description

Software Engineer, AI Applications (Equities Research Tools)

The Equities Research Tools team is looking for a Full‑stack Software Engineer with a focus on AI applications. The engineer will be part of a team that designs and builds AI‑enabled applications and services to help portfolio managers with idea generation, portfolio construction, and trading.

Under the guidance of technology management, the engineer will also interact with equities management, risk research quants and investment professionals to understand requirements and offer technical solutions. The role will require the engineer to provide second level support for the equities research tools AI applications. The engineer should be self‑motivated, detail oriented, organized, and able to demonstrate strong ownership of work and high work ethics.

Required Qualifications / Skills

• 5 to 10 years of full‑stack development experience, preferably within a financial services firm
• Proficiency with Typescript, and ideally React UI
• Proficiency with back‑end Python
• The ability to write well‑designed, efficient, and testable code
• Familiarity with equities and equity derivatives within a real‑time electronic trading environment is preferred
• Strong communication skills; ability to liaise with investment professionals, risk research quants, and technologists
• Team‑player mentality with a strong willingness to be proactive, help others, and think creatively
• Commercial experience in building AI enabled systems is preferred