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Quantitative Portfolio Manager

Quantitative Portfolio Manager

AAA GlobalRepublic Of India, IN
30+ days ago
Job description

Location : Bangalore, India

Domain Focus : Machine Learning, AI-driven Strategies, High-Frequency Data Analysis

Experience : 5+ years in a quantitative role, with a strong focus on ML / AI for alpha generation

International Talent : Yes, international applicants are encouraged

  • Bangalore is not just a tech hub;

it's a crucible for innovation where technology and finance are converging.

This profile is for a visionary Systematic Portfolio Manager who is a true technologist at heart. We are looking for an individual with a deep, specialized expertise in machine learning and AI, eager to apply these cutting-edge techniques to disrupt traditional trading models.

This is an opportunity to build the next generation of systematic strategies, leveraging Bangalore's unparalleled tech ecosystem to create a unique and defensible market edge.

πŸ”· The Profile – Your Expertise

We seek hands-on, research-driven technologists who see market data as a new frontier for computational discovery. The ideal candidates will possess a blend of advanced technical skills and a creative, problem-solving mindset, ready to translate novel data and algorithms into market-leading performance.

Career Path :

  • Career focused on applying ML, deep learning, and alternative data to financial markets.
  • Proven record of profitable AI / ML-driven trading strategies.
  • Experience in feature engineering, model training, and backtesting on large datasets.
  • Ongoing engagement with leading research in AI and quantitative finance.
  • Projects And Performance :

  • Proven experience in developing and deploying AI / ML models that have generated quantifiable alpha (e.G., "developed an ML model that improved prediction accuracy by X%").
  • Experience using alternative data (e.G., satellite imagery, social sentiment) for alpha generation.
  • Proven ability to take projects from research to live, production-grade trading systems.
  • Professional Skills :

  • Expertise in statistical modeling, time-series analysis, and machine learning frameworks.
  • The ability to manage and lead a team of data scientists and machine learning engineers.
  • Exceptional problem-solving and analytical skills, with a focus on intellectual curiosity.
  • Technical Prowess :

  • Proficient in Python with expertise in Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
  • Experienced with big data tools (Spark, Hadoop) and cloud platforms (AWS, GCP).
  • Strong grasp of computational efficiency and real-time model optimisation.
  • Qualifications, Licenses And Academic Achievements :

  • Advanced degree (M.S. / Ph.D.) in Computer Science, ML, Statistics, or related field preferred.
  • Published research or conference presentations in ML or computational finance a plus.
  • Any relevant professional qualifications or published research is highly valued.
  • πŸ”· Who You Are And What We Need

  • Collaborative, able to bridge financial theory and advanced technology with engineers and researchers.
  • Driven by innovation and learning, thriving in fast-paced, high-stakes environments.
  • Creative, results-focused, and motivated to transform market understanding and trading.
  • Future-focused, adaptable to new technologies, and comfortable with ambiguity in applying research.
  • If you're ready to lead with conviction and build something enduring, we want to hear from you.

    Apply Above Or Connect Directly :

    info@aaaglobal.co.uk | www.Aaaglobal.Co.Uk

    Discreet conversations are always welcome (if concerned contact us directly)

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    Portfolio Manager β€’ Republic Of India, IN

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