Specialist data scientist
Summary
Build and refine market-making models for equities and derivatives using Python, AWS SageMaker, and deep learning (LSTMs, CNNs) to predict short-term price movements and backtest strategies.
Specialist Data Scientist - 3 Month Contract Key Responsibilities
Assist in the development and optimization of market-making models, focusing on equities and equity derivatives.
Conduct back testing and research to improve current models and develop new ones.
Analyze high-frequency trading data to identify patterns and trends.
Implement machine learning techniques, particularly LSTMs and convolutional networks, to predict short-term price movements.
Collaborate with cross-functional teams to integrate new indicators and models into production environments.
Work with AWS infrastructure, including S3 buckets and Sage Maker, for data processing and model training.
Generate and analyze data samples, including time-based and volume-based sampling.
Ensure model robustness by balancing in-sample and out-of-sample results.
Experience5-7 years of experience in data analytics, machine learning, and quantitative analysis.
5+ years of experience working within global markets.
2+ years of experience within a hedge fund environment.
Proven experience in complex financial systems and applications (e.g., trading platforms, payment systems, risk management systems).
Strong understanding of financial products, capital markets, derivatives, and treasury operations.
Strong understanding of equities and trading.
Hands-on experience with coding in Python and using data visualization tools.
Technical SkillsProficiency in:
Python 5+ years
SQL 5+ years
AWS (including Sage Maker, S3) 5+ years
Quick Sight 5+ years
Strong background in:
Machine learning (especially in time series and neural networks)
Statistical and ML techniques
Trading algorithms
Experience with:
High-frequency trading data and market microstructure
Ticketing and change management tools (e.g., Azure Dev Ops (ADO), Service Now)
Preferred QualificationsFamiliarity with cloud technologies and their application within the financial services sector.
Knowledge of technical indicators and their application in equity markets.
Ability to work with large datasets and perform data normalization.
Strong analytical and problem-solving skills.
Excellent communication skills to collaborate effectively with cross-functional teams. #J-18808-Ljbffr
