Business Assistant

商务助理 Location: Singapore 工作地点：新加坡 Type: Full-time 类型：全职 Employment Pass (EP) sponsorship is available for qualified candidates. 公司可为符合条件的候选人申请 EP 工作准证。

Responsibilities 工作职责

1. Serve as a technical interface between the quant research team and external stakeholders, including institutional investors, partners, and academic contacts. 担任量化研究团队与外部机构（包括机构投资者、合作伙伴及学术联系人）之间的技术沟通接口。
2. Support business development activities by preparing technical presentations, research summaries, and market insights for external audiences. 支持业务拓展工作，为外部受众准备技术演示、研究摘要及市场洞察材料。
3. Organize and host firm-sponsored events, seminars, and networking sessions, including guest reception, agenda coordination, and on-site communication. 组织并主持公司赞助的活动、研讨会及交流会议，包括来宾接待、议程协调及现场沟通。
4. Translate complex quantitative and AI/IT concepts into clear, accessible language for non-technical stakeholders. 将复杂的量化与 AI/IT 概念转化为清晰、易懂的语言，面向非技术背景的相关方。
5. Collaborate with researchers to produce white papers, blog posts, and external-facing content on trading strategies, AI applications, and market microstructure. 与研究员合作，撰写白皮书、博客文章及对外宣传内容，涵盖交易策略、AI 应用及市场微观结构。
6. Assist in client onboarding and due diligence processes, explaining technical infrastructure, risk controls, and research workflows. 协助客户准入及尽职调查流程，解释技术基础设施、风险控制及研究工作流程。
7. Coordinate with marketing and operations teams to ensure smooth execution of external engagement activities. 与市场及运营团队协调，确保外部参与活动的顺利执行。
8. Monitor industry trends in AI, machine learning, and financial technology to support thought leadership content. 跟踪 AI、机器学习及金融科技行业趋势，支持思想领导力内容输出。

Preferred Background 优先背景 Candidates with the following background are strongly preferred: 强烈优先考虑以下背景的候选人：

• Bachelor‘s degree from top Chinese universities (e.g., Tsinghua, Peking, Fudan, Shanghai Jiao Tong, Zhejiang, USTC, or equivalent). 本科毕业于中国顶尖高校（如清华、北大、复旦、上海交大、浙大、中科大等）。
• Master’s degree from National University of Singapore (NUS), Nanyang Technological University (NTU), or equivalent Singapore institutions. 硕士毕业于新加坡国立大学（NUS）、南洋理工大学（NTU）或新加坡同类高水平院校。
• Major in AI, Computer Science, Data Science, Software Engineering, Information Systems, or related IT fields. Finance or quantitative finance as a minor or second major is a plus. 主修 AI、计算机、数据科学、软件工程、信息系统或相关 IT 领域，金融或量化金融为辅修或双学位者加分。
• Male, born after 2000. 男性，2000年后出生。
• Strong oral and written communication skills in both English and Chinese, with confidence in public speaking and client-facing interactions. 中英文口头与书面沟通能力强，具备公开演讲及客户接待的自信。
• Experience in student organizations, event planning, client service, or business development internships is highly valued. 有学生组织、活动策划、客户服务或业务拓展实习经验者优先。

Technical & AI/IT Requirements 技术及 AI/IT 要求

1. Strong understanding of AI/ML fundamentals, including supervised learning, NLP, LLM applications, and basic data engineering concepts. 扎实理解 AI/ML 基础，包括监督学习、NLP、大语言模型应用及基础数据工程概念。
2. Proficiency in Python and basic SQL; familiarity with at least one AI framework (PyTorch / TensorFlow) or LLM orchestration tools (LangChain, etc.). 熟练使用 Python 及基础 SQL；熟悉至少一种 AI 框架（PyTorch / TensorFlow）或 LLM 编排工具（LangChain 等）。
3. Ability to read and understand quant research code (Python notebooks, backtesting scripts) and explain logic to external parties. 能够阅读并理解量化研究代码（Python notebook、回测脚本），并向外部解释其逻辑。
4. Comfortable using Git, Linux environment, and basic cloud services (AWS/GCP) for demonstration or content preparation. 能够使用 Git、Linux 环境及基础云服务（AWS/GCP）进行演示或内容准备。
5. Awareness of data privacy, security, and compliance in financial contexts. 了解金融场景中的数据隐私、安全与合规要求。
6. Prior exposure to financial markets or trading concepts is a plus but not mandatory. 有金融市场或交易概念经验者加分，但非必须。

What We Value 我们看重的能力 We are looking for someone who is technically literate, socially confident, and commercially aware. 我们寻找具备技术素养、社交自信和商业意识的人才。 Strong candidates should be able to: 优秀候选人应具备以下能力：

1. Translate technical quant topics into compelling business narratives. 将技术性量化话题转化为有说服力的业务叙事。
2. Represent the firm professionally in external meetings, conferences, and social settings. 在外部会议、行业会议及社交场合中专业地代表公司。
3. Think on their feet and handle guest questions on strategy, technology, and risk in real time. 具备临场应变能力，能够实时回答来宾关于策略、技术和风险的问题。
4. Manage multiple external engagement tasks simultaneously with attention to detail. 同时管理多项外部沟通任务，并保持细致入微。
5. Demonstrate a proactive, self-starting attitude in a remote-first environment. 在远程优先的环境中展现主动、自我驱动的工作态度。

What You Will Gain 你将获得

1. Direct exposure to institutional quantitative trading and AI-driven research at scale. 直接接触机构级量化交易及规模化 AI 驱动研究。
2. Opportunity to build a professional network with top-tier financial institutions, academic partners, and tech firms in Singapore and globally. 有机会与新加坡及全球顶级金融机构、学术伙伴及科技公司建立专业网络。
3. Hands-on experience in content creation, event management, and external communications within a fast-paced trading environment. 在快节奏交易环境中获得内容创作、活动管理及对外沟通的实战经验。
4. Mentorship from experienced quant researchers and portfolio managers. 获得资深量化研究员及基金经理的指导。
5. A clear growth path toward senior business development or client-facing quant roles. 清晰的职业成长路径，可向高级业务拓展或面向客户的量化岗位发展。