Sales and Advisory Analyst
Must-have:PythonAISeniorLead
R O L E O V E R V I E W -
We are looking for a high-potential analyst to join our Wealth Management & Trading team. This role offers a unique blend of exposure to HNW client advisory, cross-asset trading strategies, data analytics, and business development. You will work directly with senior leadership to support portfolio management, generate new client leads, and build tools that enhance investment decision-making. We expect you to use AI and LLM tools hands-on every day, from building dashboards to prototyping portfolio construction ideas, to move faster and deliver sharper insights.
K E Y R E S P O N S I B I L I T I E S -
Client Advisory & Portfolio Support -
- Assist with onboarding of new HNW clients, ensuring smooth setup and compliance processes
- Support portfolio reviews and investment proposals across bonds, equities, ETFs, and options
- Track market developments, generate investment ideas, and support product structuring
Lead Generation & Business Development -
- Help identify and pursue potential HNW client leads through research, referrals, and prospecting
- Support the organization of webinars, in-person events, and client education sessions to drive lead generation and engagement
- Collaborate on marketing content, pitchbooks, and investment narratives
- Track and manage the lead pipeline, using AI/LLM tools to streamline follow-ups and reporting
Data Analytics & Tools Development -
- Use Python to analyze financial data and market trends, with a focus on time series modeling and portfolio analytics
- Build and maintain internal dashboards and automation tools for trade and performance tracking
- Back-test strategies and support the development of investment models and structured ideas
- Leverage AI/LLM tools in day-to-day work to build dashboards, prototype portfolio construction techniques, and accelerate research and analysis
Cross-Functional Coordination -
- Liaise with operations, compliance, and technology teams to ensure a seamless client experience
- Participate in product innovation discussions and enhancements to our digital wealth platformEducation
E X P E R I E N C E -
1-4 years of work experience in 1.wealth management, 2.relationship management, 3.client advisory, or 4.trading
W H A T W ' R E L O O K I N G F O R
- Undergraduate or postgraduate degree in Finance, Economics, Quantitative Finance, or related fields
- Solid understanding of financial products, including bonds, equities, ETFs, and basic options
- Working knowledge of Python for financial/data analysis (e.g. pandas, NumPy, matplotlib)
- Familiarity with time series analysis and portfolio performance metrics
- Hands-on, day-to-day experience using AI/LLM tools to build dashboards, construct and test portfolio ideas, track leads, and automate workflows
- Strong communication skills and a flair for client interaction and presentation
- A self-starter with a growth mindset, attention to detail, and the ability to work in a fast-paced, high-performance environment
- Plus: Event planning or client engagement experience