Data Scientist - Machine Learning Engineer
Investment Team | Singapore
About this role
We are on the lookout for a Junior to Mid-level Data Scientist - Machine Learning Engineer who will play a key role in enhancing our Machine Learning capabilities, focusing on innovative solutions for insight generation and analytics. As a burgeoning hedge fund startup with a clear vision and commitment to the Asian market. This role is not just about technical expertise but also about aligning with our forward-thinking vision and being at the forefront of shaping our AI strategy.
Key Responsibilities
Data Analysis & Modeling
Develop, implement, and maintain predictive models using traditional machine learning and deep learning techniques.
Conduct thorough data analysis to extract actionable insights and perform time series analysis.
ETL & Data Management
Design and develop efficient ETL pipelines to process and manage large volumes of financial data.
Ensure data integrity and accuracy across various data sources.
Cloud Computing
Utilize Cloud services to deploy and manage machine learning models in a scalable and reliable manner.
Optimize Cloud resources for performance and cost-effectiveness.
End-to-End Solution Development
Engage in the complete lifecycle of model development, from data collection and preprocessing to model deployment and monitoring.
Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
Innovation & Creativity
Explore and implement innovative techniques to solve complex financial problems.
Stay current with the latest advancements in machine learning and data science to continually improve and innovate.
Result-Oriented Approach
Focus on delivering high-impact results.
Communicate findings and recommendations effectively to stakeholders.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
3-5 years of hands-on experience in data science and machine learning.
Proficiency in Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
Experience with AWS/GCP/Azure services (e.g., S3, EC2, Lambda, SageMaker, Vertex AI, BigQuery).
Strong understanding of ETL processes and tools.
Demonstrated expertise in traditional machine learning algorithms and deep learning techniques.
Solid experience with time series processing and analysis.
Excellent problem-solving skills and a creative mindset.
Strong communication and collaboration skills.
To apply, email CV to careers@arrowpointfund.com
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