Summary
Location
Singapore
Type
full-time
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About this role
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
Other facts
About Millennium
Millennium is a global, diversified alternative investment firm, founded in 1989, which manages $83.5 billion in assets. Defined by evolution, innovation and focus, Millennium's mission is to deliver high-quality returns for our investors.
Millennium seeks to empower talented professionals with the sophisticated expertise, resources and technology to pursue a diverse range of investment strategies across industry sectors, asset classes and geographies.
See our community guidelines at: mlp.com/guidelines
Read our disclosures at: https://www.mlp.com/disclosures/
What you'll do
- The engineer will design and build AI-enabled applications and services for portfolio managers. They will also provide second level support for the equities research tools AI applications.
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