Machine Learning Engineer in Trading
7 days ago
About the Job
We're looking for a Machine Learning Engineer in Trading to join our team at NTT Data. As a key member of our data analytics group, you'll be responsible for developing and optimizing market-making models, focusing on equities and equity derivatives.
Key Responsibilities:
- Design and develop machine learning models using Python and relevant libraries.
- Analyse high-frequency trading data to identify patterns and trends.
- Implement data visualization tools to communicate insights to stakeholders.
- 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 analyse data samples, including time-based and volume-based sampling.
- Ensure the robustness of models by balancing in-sample and out-sample results.
Key Requirements
To be successful in this role, you'll need:
- Minimum 5-7 years of experience in data analytics, machine learning, and quantitative analysis.
- Proven experience working in complex financial systems and applications.
- Strong understanding of financial products, capital markets, derivatives, and treasury operations.
- Strong background in machine learning, particularly in time series analysis and neural networks.
- Hands-on experience with coding in Python and the use of visualization tools.
- Familiarity with cloud technologies and their application within the financial services sector.
About Us
NTT Data is a leading IT services provider that helps organizations around the world achieve their goals through innovative technology solutions. We are committed to delivering exceptional service and value to our clients and partners.
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