AI/ML Deep Learning Expert

We are looking for strong AI/ML expert to join our team

Anywhere
Sydney - Full Time - Remote

Position Description: AI/ML Deep Learning Quant Expert

Position Title: AI/ML Deep Learning Quant Expert

Location: Anywhere

Department: Quantitative Research

Reports To: Head of Quantitative Research

About the Company:Alpha Research Pty Ltd is an Australian-based company specializing in quantitative research and analysis. Our mission is to harness advanced mathematical, statistical, and artificial intelligence techniques to provide innovative solutions and superior results for our clients in the financial industry.

Position Summary:The AI/ML Deep Learning Quant Expert will be responsible for developing and implementing advanced machine learning and deep learning models to support investment strategies, trading, and risk management processes. This role involves extensive research, model development, and application of AI techniques to solve complex financial problems. The ideal candidate will have a strong background in AI/ML, deep learning, quantitative finance, and programming.

Key Responsibilities:

  1. Model Development:
    • Develop and implement advanced AI/ML and deep learning models for trading strategies, portfolio management, and risk assessment.
    • Research and apply state-of-the-art machine learning techniques to financial data.
    • Perform rigorous back-testing and validation of models to ensure robustness and reliability.
  2. Data Analysis:
    • Analyze large and complex datasets to identify patterns, trends, and opportunities for alpha generation.
    • Utilize statistical, machine learning, and deep learning techniques to extract insights from financial data.
  3. Performance Evaluation:
    • Evaluate the performance of AI/ML and deep learning models.
    • Provide detailed reports and presentations on model performance and research findings.
  4. Collaboration:
    • Work closely with the trading, portfolio management, and risk management teams to implement and monitor AI-driven quantitative strategies.
    • Collaborate with IT and data teams to ensure efficient handling and processing of data.
  5. Continuous Improvement:
    • Stay up-to-date with the latest developments in AI/ML, deep learning, quantitative finance, and financial markets.
    • Continuously enhance and refine models and analytical tools.

Qualifications:

  • Education:
    • Master’s or PhD in a quantitative field such as Computer Science, Mathematics, Statistics, Electrical Engineering, or Financial Engineering.
  • Experience:
    • Minimum of [Insert Number] years of experience in AI/ML, deep learning, and quantitative research.
    • Proven experience in developing and implementing AI/ML and deep learning models in a financial context.
  • Technical Skills:
    • Proficiency in programming languages such as Python, R, or C++.
    • Strong knowledge of AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
    • Experience with data analysis and visualization tools.
    • Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) is a plus.
  • Financial Knowledge:
    • Solid understanding of financial markets, instruments, and trading strategies.
    • Knowledge of risk management principles and practices.
  • Soft Skills:
    • Excellent analytical and problem-solving skills.
    • Strong communication and presentation skills.
    • Ability to work collaboratively in a team-oriented environment.
    • Attention to detail and a high level of accuracy.

Benefits:

  • Competitive salary and performance-based bonuses.
  • Comprehensive benefits package, including health insurance and retirement plans.
  • Opportunities for professional development and career advancement.
  • Collaborative and innovative work environment.

How to Apply:Interested candidates should submit their resume, cover letter, and any relevant work samples to jobs @ Alpha Research. net

Alpha Research Pty Ltd is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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