
Cutting Edge Systematic Trader
1 day ago
We are seeking a visionary and innovative Portfolio Strategist who is a true technologist at heart to lead our systematic portfolio management team. This is an opportunity to build the next generation of systematic strategies, leveraging cutting-edge technologies to create a unique market edge.
The ideal candidate 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 machine learning, 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.
Required Skills:
- 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.
- Professional Qualifications:
- 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.
Benefits:
- Collaborative and innovative work environment.
- Opportunity to work with leading research in AI and quantitative finance.
- Chance to develop and deploy AI/ML models that have generated quantifiable alpha.
About You:
- 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.
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