某香港猎头公司
固定收益账户经理(头部公募)
Skills
5 days ago
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Important information
Contract type:
Permanent
Location:
Hong Kong
Work mode:
Onsite
Published on:
16 October 2026
What they need
工作职责
Content & Marketing Strategy: Drive the creation and maintenance of high-quality investment content, including pitch books, monthly and quarterly performance commentaries, market update notes, and bespoke client presentations.
Client & Sales Support: Partner closely with institutional and retail sales teams to support asset retention and gathering efforts. Respond promptly to complex client inquiries, due diligence questionnaires (DDQs), and requests for proposals (RFPs).
Market & Product Intelligence: Continuously monitor global macroeconomic indicators, central bank policies, and credit spreads. Maintain a deep understanding of the competitive landscape to effectively position our fixed income products (both USD and non-USD strategies) against peers.
Internal Liaison: Attend investment team meetings. Extract actionable insights from credit analysts and portfolio managers, translating highly technical quantitative and fundamental analysis into accessible, client-ready narratives.
Investment Communication: Serve as the proxy for Fixed Income Portfolio Managers in internal and external meetings, articulating investment philosophy, current macroeconomic views, portfolio positioning, and performance drivers.
工作要求
Experience: 1–3 years of relevant experience within the financial services industry, specifically in asset management sales, marketing, product strategy, or investment research.
Technical Knowledge: Strong baseline knowledge of fixed income instruments, bond math, and macroeconomic drivers. Familiarity with global interest rate dynamics, credit markets, and currency strategies is highly preferred.
Communication Skills: Exceptional verbal and written communication abilities. Proven capacity to synthesize complex financial data and explain intricate investment concepts clearly and concisely.
Analytical Proficiency: High attention to detail with strong quantitative skills. Experience with financial data platforms (e.g., Bloomberg, Macrobond, Morningstar) and advanced proficiency in Microsoft Excel and PowerPoint.
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