Systematic Portfolio Manager | Bangalore, India

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.

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.

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 :

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