Working Student – Quantitative Investment

Allianz

. Assist portfolio managers and analysts in applying AI models and agents to investment research, data analysis, and portfolio workflows .

Posted 10/14/2026part-timeTaipei • TaiwanEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong analytical capabilities and proficiency in AI model development, data analysis, and investment research. Capable of collaborating effectively with portfolio managers and analysts while utilizing tools like Python and Microsoft Office.

Highest-signal resume keywords

AI Model DevelopmentData AnalysisPython ProgrammingInvestment ResearchAI Workflow Development

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI ToolsData AnalysisPrompt EngineeringMachine LearningQuantitative AnalysisFinancial Data AnalysisStatistical AnalysisResearch MethodologiesModel TestingPerformance Evaluation

Soft Skills

Analytical SkillsCommunication SkillsProblem-Solving SkillsDetail-OrientedProactive

Tools & Technologies

Microsoft OfficeBloombergFactSetAI AgentsLarge Language Models

Industry Keywords

FinanceEconomicsInvestment ManagementFinancial MarketsData Science

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Assist portfolio managers and analysts in applying AI models and agents to investment research, data analysis, and portfolio workflows
Support the development, training, testing, and evaluation of AI models and agents, including prompt design, workflow development, and output validation
Evaluate emerging AI tools and technologies and identify potential applications in investment research and asset management
Collect, organize, and analyze financial, market, industry, and company data
Help develop and improve AI-enabled research tools and automated workflows
Conduct market, industry, and company research using AI to extract, summarize, and analyze relevant information
Support data preparation, model testing, performance evaluation, and quality control for AI-related projects
Collaborate with portfolio managers and analysts on investment research, quantitative analysis, and AI initiatives
Perform ad hoc investment research, AI development, data analysis, and related assignments

Requirements

What you’ll need

Final-year bachelor’s, master’s, or PhD student in Finance, Economics, Computer Science, Data Science, AI, Engineering, Statistics, Mathematics, or a related program
Available 3–4 days per week for up to 12 months
Strong interest in AI, financial markets, and investment management
Familiarity with AI tools and basic programming or data analysis, preferably Python
Proficient in Microsoft Office
Fluent in English and Chinese
Strong analytical, communication, and problem-solving skills
Proactive, detail-oriented, and able to work independently and collaboratively
Preferred: Experience with AI/ML, Large Language Models (LLMs), AI agents, prompt engineering, Python, or AI workflow development
Preferred: Basic understanding of financial markets and investment concepts
Preferred: Familiarity with Bloomberg, FactSet, or similar financial data platforms
Preferred: Experience with research projects involving AI, machine learning, financial data, or quantitative analysis

Benefits

Comp & perks

Balanced work environment: A dynamic office culture that supports flexibility and collaboration
Mental health and wellbeing programs
Career opportunities within the entire Allianz Group
Comprehensive learning and development offerings, including certifications and professional qualifications