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Full Stack Developer - AI Applications (Equities Research Tools) at MILLENNIUM CAPITAL MANAGEMENT SINGAPORE PTE LTD

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

23 May, 26

Salary

0.0

Posted On

22 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Full-stack Development, Typescript, React UI, Python, AI Applications, Equities, Equity Derivatives, Real-time Electronic Trading, Communication, Ownership, Detail Oriented

Industry

Investment Management

Description

Full Stack Developer - AI Applications (Equities Research Tools) The Equities Research Tools team is looking for a full‑stack Software Developer 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

Responsibilities

The engineer will design and build AI-enabled applications and services to assist portfolio managers with idea generation, portfolio construction, and trading. This role also involves interacting with investment professionals and providing second-level support for the AI applications.