居家办公 Senior Forward Development Engineer 工作, 薪水 up to HKD 55,000, DEEL HONG KONG LIMITED Hong Kong 公司招聘中 - Ricebowl

Job Descriptions:

• Design and develop AI-powered investment research platforms using large language models, AI agents, workflow orchestration, retrieval systems, and automated reasoning technologies.
• Design intelligent agents that collect, structure, evaluate, and synthesise financial statements, market data, earnings information, public disclosures, alternative data, and research materials for investment use cases.
• Translate buy-side investment research processes into software workflows supporting idea generation, due diligence, thesis validation, company and sector monitoring, portfolio analysis, and investment decision support.
• Build quantitative research infrastructure covering factor generation, data validation, backtesting, portfolio construction, performance attribution, risk analytics, signal monitoring, and strategy evaluation.
• Develop scalable data acquisition and engineering pipelines for structured, semi-structured, and unstructured datasets sourced from APIs, public web sources, alternative data providers, social platforms, and proprietary research sources.
• Lead full-stack development across backend services, APIs, databases, data-processing systems, frontend applications, cloud infrastructure, deployment pipelines, monitoring, and operational controls.
• Evaluate emerging AI and financial technologies, prototype new investment products and internal research tools, and work with investment, research, product, and engineering stakeholders to align the technology roadmap with the Company's investment objectives.

Job Requirements

• A minimum of eight (8) years of professional experience in software engineering, data engineering, financial technology, quantitative systems, or closely related technical roles.
• A minimum of three (3) years of direct professional experience within, or embedded in support of, a buy-side investment institution, such as a hedge fund, private equity fund, venture capital fund, asset manager, family office, proprietary investment firm, or comparable institutional investor.
• Demonstrated experience working directly with investment professionals and converting investment-research, due-diligence, portfolio-monitoring, or decision-support requirements into data products or production software systems.
• Proven experience developing AI-enabled applications using large language models, agent frameworks, retrieval-augmented systems, workflow automation, or related AI technologies.
• Hands-on experience building quantitative research, backtesting, portfolio analytics, algorithmic trading, or systematic investment infrastructure.
• Hands-on experience acquiring, cleaning, structuring, and analysing financial data, alternative data, public-web data, and other non-traditional datasets used in institutional investment research.
• Advanced proficiency in Python and strong full-stack engineering capability covering backend systems, APIs, databases, frontend development, system architecture, and production deployment, with the ability to independently own complex projects end to end.

Job Type: Full-time

Pay: $40,000.00 - $55,000.00 per month

Application Question(s):

• Do you have experience translating investment research processes (such as due diligence, portfolio monitoring, or thesis validation) into functional software workflows or data products?
• Do you have at least 3 years of direct professional experience working within a buy-side investment institution (e.g., hedge fund, private equity, or asset manager)?
• Do you have professional experience building AI-enabled applications (such as LLMs, agent frameworks, or retrieval-augmented systems) and integrating them with quantitative research or financial data pipelines?

Work Location: Remote