Software Engineer, AI Applications (Equities Research Tools)
at Millennium
Posted 17 days ago
No clicks
Full-stack Software Engineer focused on building AI-enabled applications and services to support equities research, idea generation, portfolio construction, and trading. The role involves designing and implementing front-end and back-end components, working closely with equities management, risk research quants, and investment professionals to gather requirements and deliver technical solutions. The engineer will also provide second-level support for AI applications and should demonstrate strong ownership, organization, and communication skills. Required skills include 5-10 years of experience, Typescript (ideally React), back-end Python, and preferably commercial experience with AI systems and equities/derivatives trading environments.
- Compensation
- Not specified
- City
- Not specified
- Country
- Not specified
Currency: Not specified
Full Job Description
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
