Specialist Data Scientist
Specialist Data Scientist
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Salary Not Disclosed
1 Vacancy
Job Description
Specialist Data Scientist 3 Month Contract
Key Responsibilities
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Assist in the development and optimization of marketmaking models focusing on equities and equity derivatives.
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Conduct back testing and research to improve current models and develop new ones.
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Analyze highfrequency trading data to identify patterns and trends.
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Implement machine learning techniques particularly LSTMs and convolutional networks to predict shortterm price movements.
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Collaborate with crossfunctional teams to integrate new indicators and models into production environments.
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Work with AWS infrastructure including S3 buckets and SageMaker for data processing and model training.
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Generate and analyze data samples including timebased and volumebased sampling.
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Ensure model robustness by balancing insample and outofsample results.
Minimum Requirements
Experience
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57 years of experience in data analytics machine learning and quantitative analysis.
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5 years of experience working within global markets.
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2 years of experience within a hedge fund environment.
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Proven experience in complex financial systems and applications (e.g. trading platforms payment systems risk management systems).
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Strong understanding of financial products capital markets derivatives and treasury operations.
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Strong understanding of equities and trading.
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Handson experience with coding in Python and using data visualization tools.
Technical Skills
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Proficiency in:
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Python 5 years
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SQL 5 years
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AWS (including SageMaker S3) 5 years
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QuickSight 5 years
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Strong background in:
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Machine learning (especially in time series and neural networks)
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Statistical and ML techniques
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Trading algorithms
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Experience with:
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Highfrequency trading data and market microstructure
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Ticketing and change management tools (e.g. Azure DevOps (ADO) ServiceNow)
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Preferred Qualifications
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Familiarity with cloud technologies and their application within the financial services sector.
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Knowledge of technical indicators and their application in equity markets.
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Ability to work with large datasets and perform data normalization.
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Strong analytical and problemsolving skills.
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Excellent communication skills to collaborate effectively with crossfunctional teams.
Employment Type
Full Time
