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China Life Franklin Asset Management Co., Ltd
Hong Kong, HONG KONG
(on-site)
Posted
1 day ago
China Life Franklin Asset Management Co., Ltd
Hong Kong, HONG KONG
(on-site)
Job Function
Asset/Property Management
Fixed Income / Credit Research Intern
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Fixed Income / Credit Research Intern
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
Job DescriptionAbout the Role - We are seeking a motivated, tech-savvy, and detail-oriented intern to join our Fixed Income team. In this role, you will bridge the gap between traditional credit research and financial technology. You will play a key role in leveraging AI tools and Python programming to automate data workflows, alongside supporting investment professionals in fundamental credit analysis and investment processes.
Key Responsibilities -
- Data Automation & AI Integration: Utilize Programming skills and AI productivity tools to design and implement automation solutions for day-to-day workflows and facilitate investment decision-makings. Expected application scenarios include:
- AI-Driven Information Workflows: Leveraging Microsoft Copilot and other LLM tools to automate the screening, classification, and scheduled summarization and analysis of high-volume group emails and market communications, including research and pricing materials.
- Data Engineering & Reporting: Utilize Programming skills for automated data collection, aggregation, and quantitative calculation in research/regulatory/internal reporting processes.
- Deep dive into the team's daily investment, research, operation processes to observe, diagnose, and identify friction points or manual bottlenecks ripe for automation.
- Credit & Financial Modelling: Assist in maintaining and upgrading earnings, valuation, and internal credit rating models.
- Credit Research Support: Conduct data collection and analysis on rating reports, market statistics, and financial statements to support credit research and identify investment opportunities.
- Market Monitoring: Monitor new credit investment opportunities and new issuances, and update internal trade lists and coverage universes.
- Investment Insights: Attend team meetings, prepare concise research summaries, and learn to generate investment ideas and credit recommendations under senior guidance.
Who We Are Looking For -
- Current students in Computer Science, Data Science, Financial Engineering, Finance or related disciplines.
- Technical Skills: Proficiency in Python is highly preferred, with hands-on experience in using Python/AI tools for data processing and workflow automation. Familiarity with Bloomberg Terminal is a plus.
- AI & Prompt Engineering: Hands-on experience with AI productivity tools (e.g., Microsoft Copilot) and prompt engineering, with a proven ability to design automated workflows for text classification, information extraction, and synthesis.
- Financial Knowledge: Basic understanding of financial statements and corporate finance; familiarity with fixed income concepts or credit analysis is a plus.
- Soft Skills: Genuine passion for the fixed income market, strong willingness to learn, high attention to detail, and a proactive mindset toward problem-solving.
- Language Proficiency: Fluent in Mandarin and English (spoken), with excellent written Chinese and English.
- Immediately available.
For Application - Interested parties, please send a detailed resume to the Human Resources Team by email to hr@clamc.com.hk
We are an equal opportunity employer. All applications will be treated with strict confidentiality. Personal data collected will be used for recruitment purposes only and strictly in accordance with the employer's personal data policies. Personal data of unsuccessful applicants will be retained for no longer than two years from the date of application. We regret that only short-listed candidates will be notified. If you do not wish the employer to retain your data for future recruitment exercises, please request immediate destruction of your data.
Job ID: 85048907
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