Trading Analyst

3 weeks ago

Singapore ATTIX APAC PTE. LTD. Full time
Roles & Responsibilities

About Us:

We are a cutting-edge financial technology company on a mission to democratize investment insights. By leveraging AI to predict market trends, we empower retail investors with sophisticated tools that were once exclusive to institutional players. As we continue to grow our team, we're seeking a talented and forward-thinking Trading Analyst to join our Singapore office.

Key Responsibilities:

  • Bridge traditional financial models with machine learning and deep learning methodologies.
  • Translate rule-based strategies developed by subject matter experts into autonomous AI-driven models (e.g., multi-agent modeling, macro-micro model ensembles).
  • Design and implement hybrid approaches that integrate statistical and non-statistical models using meta-learners.
  • Write and execute tests using financial datasets to validate model assumptions and performance.
  • Contribute to the design and construction of trading portfolios, either directly through model development or indirectly via analytics and insights.
  • Work on a variety of AI-powered trading projects, which may include:
    • AI Stock Screener using Bayesian Modeling
    • AI Portfolio Optimization via Reinforcement Learning
    • Stock Trend Prediction using PyTorch Forecasting
  • Evaluate model performance using both traditional and trading-specific metrics such as Sharpe Ratio, Turnover, Fitness, Returns, Drawdown, Margin Utilization, Long/Short Count, and Sector/Subindustry Allocations.
  • Collaborate as part of a specialized sub-team within the trading division focused on developing fully autonomous AI trading systems.

Requirements:

  • Bachelor's degree in Financial Engineering, Quantitative Finance, or a related quantitative discipline with strong grounding in financial fundamentals and investment principles.
  • Proficient in Python, R, and SQL; experience with machine learning frameworks such as PyTorch or TensorFlow.
  • Demonstrated experience in alpha signal research, model performance evaluation, and application of financially contextualized metrics to trading strategies.
  • Experience with portfolio construction, risk management, and backtesting strategies using real-world financial data.
  • Familiarity with portfolio management techniques and an ability to adjust portfolio allocations in response to macroeconomic news, market trends, and global events.
  • A critical thinker who can interpret the nuance behind statements like "Everything is AI, but nothing is AI"—understanding both the capabilities and limitations of AI models in financial markets.
  • Strong analytical mindset with a passion for leveraging AI and quantitative methods to solve real-world problems in finance.
  • Prior experience in a buy-side or hedge fund environment, working with live trading models or portfolio optimization frameworks will be preferred.
Tell employers what skills you have

TensorFlow
Machine Learning
Forecasting
Construction
Trend
Financial Engineering
Fitness
Risk Management
Trading Systems
Quantitative Finance
PyTorch
Portfolio Management
Trading Strategies
Python
Prediction
Turnover

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