
Principal Financial and Quantitative Engineer AVP
- Hangzhou, Zhejiang
- Permanent
- Full-time
- Lead a small agile team to deliver highly effective features analysis/engineering and financial model solution/framework to meet our fast-changing business and client needs, collaborate with global teams to execute on global projects and keep improving model solution and technology best practices.
- Adopt various modern AI tools to design and develop financial model solution and disrupt traditional model development approach and improve productivity.
- Develop, train, and mentor junior financial and quantitative engineers, ensure their continuous growth and development, and foster a high-performance team culture.
- Responsible for capital market analysis, feature analysis, feature engineering, financial model design, coding, unit test, and integration as well as perform model validation.
- Support quality assurance test, user acceptance test, and bug fixes.
- Support production issue and implement on-going enhancements
- Master’s degree required (preferably in financial engineering, mathematical finance, operational research, or other engineering related major)
- 5+ years of experience in feature analysis and engineering for AI models.
- 3+ years of modern, object-oriented or functional programming experience (Python, SQL) and familiar with AI code generation tools like GitHub Co-pilot.
- Extensive experience with supporting investment research, portfolio management and trading.
- Extensive experience with market movement & sentiment analysis, portfolio optimization, security or factor-based investment strategy, cash flow analysis, or algorithmic trading.
- Familiar with traditional buy side quantitative methodology and model that well understood by industry professional like portfolio manager, trader, risk manager, client, and regulator.
- Solid background in mathematics in general including but not limited to statistics, probability theory, PDE, linear algebra, stochastic calculus, differential equations etc.
- Proven experience as a Portfolio Analyst, Research Analyst or Financial Engineer
- Result driven, detail oriented, candid attitude
- Prior experience in leading a financial engineering or modelling team at medium or large size buy or sell side firm.
- In-depth factor level modelling such as interest rate, spread, FX, momentum, sector, technical and fundamental indicators
- Data Science and Machine Learning Frameworks (TensorFlow, Scikit-learn, Apache Spark / MLlib, etc.)
- Linux / Bash scripting, structured and unstructured data management tools (Oracle, PostgreSQL, MySQL, KDB+, Hadoop, etc.)
- Strong analytical skills. Previous experience or education focused on statistics or data science is valuable.
- Charted Financial Analyst (CFA) or equivalent.